Betsy Covell1 and Rainer Liebhart2
1Nokia, Naperville, USA
2Nokia, Munich, Germany
Main drivers for the evolution of mobile networks in the past were mobile voice (2G/3G/Voice over Long Term Evolution [VoLTE]), messaging (Short Messaging Service [SMS], WhatsApp) and Internet access (Wideband Code Division Multiple Access [WCDMA], High Speed Packet Access [HSPA], Long Term Evolution [LTE]) whenever and wherever needed. Focus was on end consumers equipped with traditional handsets or smartphones.
Consumer demand continues to be insatiable with an ever growing appetite for the bandwidth that is needed for 4K and 8K video streaming, augmented reality (AR) and virtual reality (VR), among other use cases. On the same token, operators want the network to be “better, faster and cheaper” without compromising any of these three elements.
The biggest difference between 5G and previous “Gs” is the diversity of applications that 5G networks need to support. Objects ranging from cars and factory machines, appliances to watches and apparel, will learn to organize themselves to fulfill our needs by automatically adapting to our behavior, environment or business processes. New use cases will arise, many not yet conceived, creating novel business models. 5G connectivity will impact the following areas:
We already have indicators about these long‐term trends and disruptions and they are not only driven by the Internet and the telecommunication industry but by a multitude of different industries. 5G will be the platform enabling growth in many of these industries; the IT, car, entertainment, agriculture, tourism and manufacturing industries. 5G will connect the factory of the future and help to create a fully automated and flexible production system. It will also be the enabler of a superefficient infrastructure that saves resources.
Smartphones are becoming more and more a commodity which means that consumers will differentiate themselves increasingly with new gadgets such as VR devices, connected cars and devices for connected health.
With the decline or at least flattened Average Revenue Per User/Average Revenue Per Device (ARPU/ARPD) in many markets worldwide (typical ARPU is around $30 per month, while ARPD is not more than $3 per month) the telecom industry is more and more considering new revenue streams besides traditional business models. This is where we see new business drivers and requirements, from vertical industries, the Internet of Things (IoT) and the digital society. In the past, the main driver for the mobile industry was connecting people, in the future it is about the “connected world” meaning connecting everyone and everything at any time. This will create new and additional revenue streams for Mobile Network Operators (MNOs). Connecting “things” like cars (e.g. 125 million vehicles to be connected by 2022), robots, meters, medical machines bring new challenges to the next generation of mobile networks. To name only a some of them:
Vertical industries and applications do have very diverse requirements with regards to throughput, latency, reliability, number of connections, security and revenue (see Figure 1.1).
This requires a highly flexible architecture of the new generation of mobile networks, on radio and core network side, as well as at the transport. Flexibility also includes a high degree of automation in deploying and maintaining networks, parts of a network or single resources (e.g. network slices). Flexible architecture is achieved by different means, from flexible frame structures and intelligent radio schedulers to edge computing, slicing, Software Defined Networking (SDN) and fully automated Orchestration capabilities. We will explain the most important technical solutions throughout this book in the chapters to follow (see also Section 1.6).
What are the concrete use cases that will drive the market? Nobody knows the answer today, but we can have a look at the industries that are forced into digital transformation by changes in their markets. There is an extensive list of possible use cases for various industry sectors where 5G may play a crucial role to interconnect people and things, to name only a few of them:
Among the listed use cases motion control appears the most challenging and demanding one. Such a system is responsible for controlling, moving and rotating parts of machines in a well‐defined manner. Such a use case has very stringent requirements in terms of low latency, reliability, and determinism. Augmented Reality requires high data rates for transmitting (high‐definition) video streams from and to a device. Process automation is between the two, and focuses on monitoring and controlling chemical, biological or other processes in a plant, involving both a wide range of different sensors (e.g. for measuring temperatures, pressures, flows, etc.) and actuators (e.g. valves or heaters).
The International Telecommunication Union – Radio Sector (ITU‐R) manages the international radio‐frequency spectrum and satellite orbit resources. In September 2015 ITU‐R published its recommendation M.2083 [1] constituting a vision for the International Mobile Telecommunications (IMT) 2020 and beyond. In this document ITU‐R describes user and application trends, growth in traffic, technological trends and spectrum implications, and provides guidelines on the framework and the capabilities for IMT 2020. The following trends were identified, leading in a later phase to concrete requirements for the new 5G system defined by 3rd Generation Partnership Project (3GPP):
Regarding the growth of traffic rates, it was estimated (based on various available forecasts) that the global IMT traffic will grow in the range of 10–100 times from 2020 to 2030 with an increasing asymmetry between downlink (DL) and uplink (UL) data rates.
ITU‐R is not defining a new radio system itself but has listed some technology trends for both the radio and network side they deemed necessary to fulfill the new requirements and cope with new application trends and increased traffic rates. Technologies enhancing the radio interface capabilities mentioned in M.2083 are, e.g. new waveforms, modulation and coding techniques, as well as multiple access schemes. Spectrum efficiency enhancements and higher data rates can be achieved by techniques such as 3D‐beamforming, an active antenna system, and massive Multiple‐Input‐Multiple‐Output (mMIMO). Dual connectivity and dynamic Time Division Duplex (TDD) can enhance spectrum flexibility. On the network side features like SDN, Network Function Virtualization (NFV), Cloud Radio Access Network (C‐RAN) and Self‐Organizing Networks (SON) are mentioned.
One key item to allow for (much) higher data rates in future is the utilization of new spectrum, especially in higher frequency bands (above 6 GHz). ITU‐R Report M.2376 [2] provides information on the technical feasibility of IMT in the frequencies between 6 and 100 GHz. The report includes measurement data on propagation in this frequency range in several different environments. Both line‐of‐sight and non‐line‐of‐sight measurement results for stationary and mobile cases as well as outdoor‐to‐indoor results are included. Thus, ITU‐R Report M.2083 is highlighting the need for spectrum harmonization and contiguous and wider spectrum bandwidth (above 6 GHz).
ITU‐R is highlighting mainly three usage scenarios (rather use cases): enhanced mobile broadband (eMBB), ultra‐reliable and low latency communication (sometimes called critical‐machine type communication [cMTC]) and massive machine‐type communication (mMTC). These three usage scenarios are the fundamental basis of 5G system specification. Figure 1.2 gives an illustrative overview of the three usage scenarios and how they relate to each other.
When it comes to concrete capabilities for IMT 2020 and beyond, Report M.2083 lists the following eight key items:
Enhanced user experience will be realized by increased peak and user data rate, spectrum efficiency, reduced latency and enhanced mobility support.
The Next Generation Mobile Networks (NGMN) Alliance is a mobile telecommunications association of mobile operators, vendors, manufacturers and research institutes. It was founded by major mobile operators in 2006 as an open forum to evaluate candidate technologies to develop a common view of solutions for the evolution of wireless networks. NGMN aims to establish clear functionality and performance targets as well as fundamental requirements for deployment scenarios and network operations. In February 2015 NGMN published a 5G White Paper [3] that contains requirements regarding user experience, system performance, device capabilities, new business models and network operation and deployment. The NGMN White Paper starts with a short introduction on use cases, new business models and value creation in the era of 5G, and is listing afterwards detailed requirements from operator perspective on user experience (data rates, latency, mobility), system performance (connection and traffic density, spectrum efficiency), devices (multi‐band support, power and signaling efficiency), enhanced services (location, security, reliability), new business models (connectivity provider, XaaS, network sharing) and network deployment (cost and energy efficiency). New business models, technology and architecture options as well as spectrum and Intellectual Property Rights (IPR) aspects are also considered in the paper.
NGMN is categorizing 5G use cases in several sub‐sets, e.g. broadband access in urban areas or indoor, 50+ Mbps anywhere, mobile broadband in vehicles, massive low‐cost/long‐range/low‐power machine type communication, ultra‐low latency and high reliability, broadcast like services.
For each of these use case categories NGMN has listed requirements for the user experience. User specific data rates of 1 Gbps are mentioned for special environments, and 10 millisecond latency in general while 1 millisecond must be achievable for selected use cases. Detailed requirements can be found in Table 1.1.
Table 1.1 User experience requirements.
Use case category | User experienced data rate | E2E latency | Mobility |
Broadband access in dense areas |
DL: 300 Mbps UL: 50 Mbps |
10 ms | On demand, 0–100 km h−1 |
Indoor ultra‐high broadband access |
DL: 1 Gbps UL: 500 Mbps |
10 ms | Pedestrian |
Broadband access in a crowd |
DL: 25 Mbps UL: 50 Mbps |
10 ms | Pedestrian |
50+ Mbps everywhere |
DL: 50 Mbps UL: 25 Mbps |
10 ms | 0–120 km h−1 |
Ultra‐low‐cost broadband access for low ARPU areas |
DL: 10 Mbps UL: 10 Mbps |
50 ms | On demand: 0–50 km h−1 |
Mobile broadband in vehicles (cars, trains) |
DL: 50 Mbps UL: 25 Mbps |
10 ms | on demand, up to 500 km h−1 |
Airplane connectivity |
DL: 15 Mbps per user UL: 7.5 Mbps per user |
10 ms | Up to 1 000 km h−1 |
Broadband Machine Type Communication (MTC) | See the requirements for the Broadband access in dense | ||
areas and 50+ Mbps everywhere categories | |||
Ultra‐low latency |
DL: 50 Mbps UL: 25 Mbps |
<1 ms | Pedestrian |
Resilience and traffic surge |
DL: 0.1–1 Mbps UL: 0.1–1 Mbps |
Regular communication: not critical | 0–120 km h−1 |
Ultra‐high reliability and ultra‐low latency |
DL: From 50 kbps to 10 Mbps UL: From a few bps to 10 Mbps |
1 ms | On demand: 0–500 km h−1 |
Ultra‐high availability and reliability |
DL: 10 Mbps UL: 10 Mbps |
10 ms | On demand: 0–500 km h−1 |
Broadcast like services |
DL: Up to 200 Mbps UL: Modest (e.g. 500 kbps) |
<100 ms | On demand: 0–500 km h−1 |
Regarding overall system performance requirements, use case specific requirements for connection and traffic density are provided (see Table 1.2). In general, it is assumed that 5G allows for several hundred thousand simultaneous active connections per square kilometer and data rates of several tens of Mbps for tens of thousands of users in hotspot areas. 1 Gbps shall be offered simultaneously to some tens of users in the same limited area. Spectral efficiency should be significantly better compared to 4G. 5G should allow higher data rates to be achieved in rural areas based on the current grid of macro sites (depending on the frequency bands used).
Table 1.2 System performance requirements.
Use case category | Connection density | Traffic density |
Broadband access in dense areas | 200–2 500 km−2 |
DL: 750 Gbps km−2 UL: 125 Gbps km−2 |
Indoor ultra‐high broadband access | 75 000 km−2 (i.e. 75/1 000 m2 office) |
DL: 15 Tbps km−2 (15 Gbps/1 000 m2) UL: 2 Tbps km−2 (2 Gbps/1 000 m2) |
Broadband access in a crowd | 150 000 km−2 (30 000/stadium) |
DL: 3.75 Tbps km−2 (DL: 0.75 Tbps/stadium) UL: 7.5 Tbps km−2 (1.5 Tbps/stadium) |
50+ Mbps everywhere |
400 km−2 in suburban 100 km−2 in rural |
DL: 20 Gbps km−2 in suburban UL: 10 Gbps km−2 in suburban DL: 5 Gbps km−2 in rural UL: 2.5 Gbps km−2 in rural |
Ultra‐low‐cost broadband access for low ARPU areas | 16 km−2 | 16 Mbps km−2 |
Mobile broadband in vehicles (cars, trains) | 2 000 km−2 (500 active users per train × 4 trains, or 1 active user per car × 2 000 cars) |
DL: 100 Gbps km−2 (25 Gbps per train, 50 Mbps per car) UL: 50 Gbps km−2 (12.5 Gbps per train, 25 Mbps per car) |
Airplanes connectivity |
80 per plane 60 airplanes per 18 000 km2 |
DL: 1.2 Gbps/plane UL: 600 Mbps/plane |
Massive low‐cost/long‐range/low‐power MTC | Up to 200 000 km−2 | Non‐critical |
Broadband MTC | ||
See the requirements for the Broadband access in dense areas and 50+ Mbps everywhere categories | ||
Ultra‐low latency | Not critical | Potentially high |
Resilience and traffic surge | 10 000 km−2 | Potentially high |
Ultra‐high reliability and Ultra‐low latency | Not critical | Potentially high |
Ultra‐high availability and reliability | Not critical | Potentially high |
Broadcast like services | Not relevant | Not relevant |
Some general statements are made regarding expected device capabilities such as multi‐band/multi‐mode support (e.g. simultaneous support of TDD and Frequency Division Duplex [FDD] operation), support of LTE and 5G radio technology and the high degree of programmability of the device. However, this does not lead to concrete requirements for the device for modem manufacturers, but can be seen as high‐level recommendations. More or the less the same applies for statements on subscriber security, privacy and network security, e.g. going beyond radio security to also consider end‐to‐end and higher‐layer security solutions. With respect to network reliability and availability 5G should enable 99.999% network availability, including robustness against climatic events and guaranteed services at low energy consumption for critical infrastructures and high reliability rates of 99.999% or higher, for ultra‐high reliability and ultra‐low latency use cases. By design the 5G system should also allow for cost and energy efficient deployments and for enhanced flexibility and scalability, e.g. through decoupling Core and Radio Access Network (RAN) network domains (access agnostic core).
The 5G Public‐Private Partnership (5GPPP) is one of or even the world's biggest 5G research program. It is a joint initiative between the European Commission (EC) and the European Information and Communication Technology (ICT) industry and aims to deliver 5G solutions, architectures, technologies and standards. 5GPPP was initiated by the EU Commission and industry manufacturers, telecommunications operators, service providers, small and medium enterprises (SME) and research institutes.
Within the 5GPPP, the 5G Infrastructure Association (5GIA) represents the private side and the European Commission, the public side.
5GPPP is working on the document “5GPPP use cases and performance evaluation,” with version 1 published in April 2016, version 2 is work in progress. This is a living document, i.e. it is constantly updated. The document provides an overview of use cases and models. It covers 5G scenarios, definitions of key performance indicators (KPIs) and models (e.g. of wireless channel, traffic or user's mobility), as well as corresponding assessment results. Developed use case families are mapped to corresponding business cases identified in vertical industries. Additionally, performance evaluation approaches are compared with the latest version of performance evaluation framework proposed in 3GPP.
5GPPP work is grouped round the three well‐known 5G services extreme mobile broadband (xMBB), ultra‐reliable machine‐type communication (uMTC), and massive machine‐type communication (mMTC).
5GPPP defines the following KPI values for clustering the different use cases:
In addition to these KPIs, localization and security requirements are important KPIs for vertical industries.
5G use cases have been developed by a wide range of sources, including both the traditional telecommunications organizations such as Global System for Mobile Communications Association (GSMA), NGMN, and ITU, and the vertical industries such as automobile, gaming, and factory automation, that are considering how 5G can benefit them. In addition to the ITU‐R, NGMN and 5GPPP use cases already discussed in this chapter, several other standards and industry organizations have provided significant input to the 5G vision being developed in 3GPP. These include the China IMT 2020 Promotion Group, the German Electrical and Electronic Manufacturers Association, the METIS project, the ARIB 2020 and Beyond Ad Hoc Group. The 5G for Connected Industries and Automation (5G‐ACIA) and the 5G Automotive Association (5GAA) are focusing on 5G use cases and their requirements from the perspective of specific verticals. 5G‐ACIA serves as the central forum for addressing, discussing, and evaluating relevant technical, regulatory, and business aspects with respect to 5G for the industrial domain (see [4]). 5GAA on the other hand is considering requirements, architectures and solutions enabling 5G to become the ultimate platform for Cooperative Intelligent Transportation Systems (C‐ITS) and the provision of Vehicle‐to‐X (V2X) services. 5G will be able to better carry mission‐critical communications for safer driving and further support enhanced V2X communications and connected mobility solutions. Several white papers can be found at the 5GAA Internet page www.5gaa.org.
In general, 5G use cases can be grouped into five main categories (for details see [5]): massive IoT, time critical communication, eMBB, network operations, and enhanced V2X, as shown in Figure 1.3.
As more and more connected devices, from home appliances and medical monitors to industrial robots and vehicles, are developed and deployed, the demand for efficient, reliable, secure communications between and with these devices has been increasing. While there are many existing technologies to support communication for IoT devices, such as Bluetooth™, Wi‐Fi™, and LTE support for machine‐type communication (MTC) and NB‐IoT, 3GPP 5G technology is specifically designed to support the various IoT use cases in an efficient, reliable, and secure manner.
Within the massive IoT category, there is no single set of criteria that will meet all IoT needs in the future. A range of use cases cover a diverse set of sometimes conflicting requirements. For example, sensors entail a potentially enormous number of stationary, localized, devices sending infrequent small data bursts. Industrial robot controls require very high reliability and ultra‐low latency within a constrained physical space. Wearables impose requirements for nomadic connectivity that may be over very wide areas (e.g. global roaming) and may occur at varying speeds, from pedestrian to high speed trains. Wearables also have a range of service requirements from voice and small data to streaming video. A 5G system therefore must be capable of being tailored to meet each of these diverse needs and use cases efficiently and reliably.
Security requirements are more common across all these cases. No matter the type of device or type of IoT service, the user expects the communications to be secure from access by unauthorized applications or users. 5G systems provide the high‐level of security expected in each case, including support for secure system access, data integrity protection, and confidentiality.
Many of the time critical communication use cases are based on 3rd party use of telecommunications systems. These 3rd parties may include industries such as utilities, factories, and public safety authorities. Utility use cases include support for smart grids, which require constant monitoring and immediate action to be taken when an outage or power surge occurs. Utilities may also use 5G drones to monitor and perform routine maintenance on remote equipment. In these cases, both drone controls as well as data transmitted from the drone rely on the time critical communications provided by 5G. Factories are considering 5G as an enhancement to existing wired robotic control technologies. Eliminating wires in a robotic factory improves safety as well as increasing flexibility in the factory floor configuration, but it must not come with any loss of quality in terms of speed and accuracy in controlling a robot. Public safety organizations around the globe are already migrating to LTE‐based systems, while looking ahead to the additional enhancements supported in 5G for better video, faster data, and more reliable communications particularly when out of range of a public network.
Other time critical communications use cases address specific technology such as augmented reality, virtual reality, and tactile internet. These technologies are gaining ground in a variety of industries including health care, gaming, education, and real estate. Very precise location information and a highly reliable communications path with low latency are necessary to use these technologies without causing the user to feel discomfort in the process.
3GPP's initial analysis of the various industry needs resulted in the KPIs for each use case shown in Table 1.3 (see [6]).
Table 1.3 Performance requirements for time critical communication.
Scenario | Max allowed end‐to‐end latencya (ms) | Survival time (ms) | Communication service availabilityb (%) | Reliabilityb (%) | |
Discrete automation | 10 | 0 | 99.99 | 99.99 | |
Process automation – remote control | 60 | 100 | 99.999 | 99.999 | |
Process automation – monitoring | 60 | 100 | 99.9 | 99.9 | |
Electricity distribution – medium voltage | 40 | 25 | 99.9 | 99.9 | |
Electricity distribution – high voltagec | 5 | 10 | 99.999 | 99.999 | |
Intelligent transport systems – infrastructure backhaul | 30 | 100 | 99.999 | 99.999 | |
Scenario | User experienced data rate | Payload sized | Traffic densitye | Connection densityf | Service area dimensiong |
Discrete automation | 10 Mbps | Small to big | 1 Tbps km−2 | 100 000 km−2 | 1 000 × 1 000 × 30 m |
Process automation – remote control | 1 Mbps up to 100 Mbps | Small to big | 100 Gbps km−2 | 1 000 km−2 | 300 × 300 × 50 m |
Process automation – monitoring | 1 Mbps | Small | 10 Gbps km−2 | 10 000 km−2 | 300 × 300 × 50 |
Electricity distribution – medium voltage | 10 Mbps | Small to big | 10 Gbps km−2 | 1 000 km−2 | 100 km along power line |
Electricity distribution – high voltagec | 10 Mbps | Small | 100 Gbps km−2 | 1 000 km−2h | 200 km along power line |
Intelligent transport systems – infrastructure backhaul | 10 Mbps | Small to big | 10 Gbps km−2 | 1 000 km−2 | 2 km along a road |
aThis is the maximum end‐to‐end latency allowed for the 5G system to deliver the service in the case the end‐to‐end latency is completely allocated to the 5G system from the UE to the interface to the Data Network.
bCommunication service availability relates to the service interfaces, reliability relates to a given system entity. One or more retransmissions of network layer packets may take place to satisfy the reliability requirements.
cCurrently realized via wired communication lines.
dSmall: payload typically ≤256 bytes.
eBased on the assumption that all connected applications within the service volume require the user experienced data rate.
fUnder the assumption of 100% 5G penetration.
gEstimates of maximum dimensions; the last figure is the vertical dimension.
hIn dense urban areas.
All the values in this table are targeted values and not strict requirements.
At the time of writing, it should be noted that the KPIs in Table 1.3 are undergoing refinement as additional use cases from vertical industries are being explored in 3GPP. Much of the original input was based on numerous studies and white papers predating the 5G standards. Input from industrial automation verticals such as Siemens, ABB and Bosch are providing a more detailed analysis of the KPIs needed in a factory automation setting, leading to more accurate KPIs as well as a closer look at how different deployment configurations can be used to meet the KPIs.
5G eMBB addresses the increasing use of data by providing for higher data rates, increased traffic density, and high‐speed mobility scenarios such as use on a train or airplane, all with an improved Quality of Experience (QoE) for the end user. Use cases for higher data rates identify KPIs for peak, experienced, uplink and downlink data rates under varying traffic (e.g. urban, rural) and mobility (e.g. stationary, pedestrian, high speed train) conditions. Increased traffic density use cases identify KPIs considering both large volumes of traffic in a localized area as well as varying traffic volume in an area with a high connection density. Coverage areas are also addressed in these use cases, identifying KPIs considering different usage conditions such as indoor/outdoor, wide area/local area, and speed at which the User Equipment (UE) is moving (e.g. pedestrian vs automobile). Other use cases address KPIs considering the increased speed at which mobile service is being used, from stationary to high speed trains and automobiles. While technology enhancements to the 5G radio and core network facilitate meeting these KPIs, additional factors are also considered, including use of small cells and femto cells, and optimized deployment configurations that will also be needed to meet these KPIs. Table 1.4 provides a view of the KPIs identified for these eMBB use cases.
Table 1.4 Performance requirements for high data rate and traffic density scenarios.
Scenario | Experienced data rate (DL) | Experienced data rate (UL) | Area traffic capacity (DL) | Area traffic capacity (UL) | Overall user density | UE speed | Coverage |
Urban macro | 50 Mbps | 25 Mbps | 100 Gbps km−2 | 50 Gbps km−2 | 10 000 km−2 | Pedestrians and users in vehicles (up to 120 km h−1) | Full network |
Rural macro | 50 Mbps | 25 Mbps | 1 Gbps km−2 | 500 Mbps km−2 | 100 km−2 | Pedestrians and users in vehicles (up to 120 km h−1) | Full network |
Indoor hotspot | 1 Gbps | 500 Mbps | 15 Tbps km−2 | 2 Tbps km−2 | 250 000 km−2 | Pedestrians | Office and residential |
Broadband access in a crowd | 25 Mbps | 50 Mbps | 3, 75 Tbps km−2 | 7, 5 Tbps km−2 | 500 000 km−2 | Pedestrians | Confined area |
Dense urban | 300 Mbps | 50 Mbps | 750 Gbps km−2 | 125 Gbps km−2 | 25 000 km−2 | Pedestrians and users in vehicles (up to 60 km h−1) | Downtown |
Broadcast‐like services | Maximum 200 Mbps (per TV channel) | N/A or modest (e.g. 500 kbps per user) | N/A | N/A | 15 TV channels of 20 Mbps on one carrier | Stationary users, pedestrians and users in vehicles (up to 500 km h−1) | Full network |
High‐speed train | 50 Mbps | 25 Mbps | 15 Gbps/train | 7,5 Gbps/train | 1 000/train | Users in trains (up to 500 km h−1) | Along railways |
High‐speed vehicle | 50 Mbps | 25 Mbps | 100 Gbps km−2 | 50 Gbps km−2 | 4 000 km−2 | Users in vehicles (up to 250 km h−1) | Along roads |
Airplanes | 15 Mbps | 7, 5 Mbps | 1, 2 Gbps/plane | 600 Mbps/plane | 400/plane | Users in airplanes (up to 1 000 km h−1) |
While many of the time critical communication requirements and KPIs apply for vehicular communications, there are also other specific use cases related to vehicles addressed in 5G. These include enhancements beyond the V2X support provided by 4G systems specifically for platooning, advanced driving, extended sensors and remote driving (for more details see [7]). The relative level of automation is factored into the use cases for 5G V2X. These include the following levels 0–5:
A 5G enhancement for platooning is also of interest to the shipping industry. Enabling several trucks traveling together to be managed as a group provides many safety and efficiency enhancements for a trucking company. Specific KPIs for platooning are shown in Table 1.5.
Table 1.5 Performance requirements for vehicles platooning.
Communication scenario | Payload (Bytes) | Tx rate (messages per second) | E2E latency (ms) | Reliability (%) | Data rate (Mbps) | Min range (m) | |
Scenario | Degree | ||||||
Cooperative driving for vehicle platooning Information exchange between a group of UEs supporting V2X application. |
Lowest degree of automation | 300–400 | 30 | 25 | 90 | ||
Low degree of automation | 6500 | 50 | 20 | 350 | |||
Highest degree of automation | 50–1200 | 30 | 10 | 99.99 | 80 | ||
High degree of automation | 20 | 65 | 180 | ||||
Reporting needed for platooning between UEs supporting V2X application and between a UE supporting V2X application and RSU. | N/A | 50–1200 | 2 | 500 | |||
Information sharing for platooning between UE supporting V2X application and RSU. | Lower degree of automation | 6000 | 50 | 20 | 350 | ||
Higher degree of automation | 20 | 50 | 180 |
Increased support for semi‐ to fully automated driving also has many safety aspects related to collision prevention and traffic flow efficiency. KPIs for automated driving are shown in Table 1.6.
Table 1.6 Performance requirements for advanced driving.
Communication scenario description | Payload (Bytes) | Tx rate (messages per second) | E2E latency (ms) | Reliability (%) | Data rate (Mbps) | Min range (m) | |
Scenario | Degree | ||||||
Cooperative collision avoidance between UEs supporting V2X applications. | 2 000 | 100 | 10 | 99.99 | 10 | ||
Information sharing for automated driving between UEs supporting V2X application. | Lower degree of automation | 6 500 | 10 | 100 | 700 | ||
Higher degree of automation | 100 | 53 | 360 | ||||
Information sharing for automated driving between UE supporting V2X application and RSU | Lower degree of automation | 6 000 | 10 | 100 | 700 | ||
Higher degree of automation | 100 | 50 | 360 | ||||
Emergency trajectory alignment between UEs supporting V2X application. | 2 000 | 3 | 99.999 | 30 | 500 | ||
Intersection safety information between an RSU and UEs supporting V2X application. | UL: 450 | UL: 50 | UL: 0.25 DL: 50 | ||||
Cooperative lane change between UEs supporting V2X applications. | Lower degree of automation | 300–400 | 25 | 90 | |||
Higher degree of automation | 12 000 | 10 | 99.99 | ||||
Video sharing between a UE supporting V2X application and a V2X application server. | UL: 10 |
Extended sensor use cases bring increased environmental awareness into the mix, providing vehicles additional data on the surroundings, such as pedestrians, cyclists, animals. Table 1.7 shows the KPIs for extended sensors.
Table 1.7 Performance requirements for extended sensors.
Communication scenario | Payload (Bytes) | Tx rate (messages per second) | E2E latency (ms) | Reliability (%) | Data rate (Mbps) | Min range (m) | |
Scenario | Degree | ||||||
Sensor information sharing between UEs supporting V2X application | Lower degree of automation | 1600 | 10 | 100 | 99 | 1000 | |
Higher degree of automation | 10 | 95 | 25 | ||||
3 | 99.999 | 50 | 200 | ||||
10 | 99.99 | 25 | 500 | ||||
50 | 99 | 10 | 1000 | ||||
10 | 99.99 | 1000 | 50 | ||||
Video sharing between UEs supporting V2X application | Lower degree of automation | 50 | 90 | 10 | 100 | ||
Higher degree of automation | 10 | 99.99 | 700 | 200 | |||
10 | 99.99 | 90 | 400 |
And finally, remote driving use cases bring new opportunities for safer traversal through dangerous terrain. Table 1.8 shows the KPIs for remote driving.
Table 1.8 Performance requirements for remote driving.
Communication scenario | Max end‐to‐end latency (ms) | Reliability (%) | Data rate (Mbps) |
Information exchange between a UE supporting V2X application and a V2X Application Server | 5 | 99.999 |
UL: 25 DL: 1 |
The need for increased resource efficiency is a common thread running throughout the use cases for network operation enhancements. A primary driver for 5G is the ability to offer communications services in a manner that minimizes network resource usage, network power consumption, and device power consumption. Various techniques have been developed to provide these efficiencies.
Network slicing provides a significant advantage in the ability to support widely varying use cases. A network slice can be designed with the resources needed to meet a specific set of requirements (e.g. stationary sensors sending infrequent small data), while another network slice in the same network can be designed to address a separate set of requirements (e.g. high quality streaming video). Network slicing allows a network operator to deploy network resources in configurations that maximize resource efficiencies.
New mobility management techniques provide efficient support for diverse devices that might be stationary, geographically limited (e.g. confined to a factory), nomadic, or capable of high‐speed travel. Providing specific support for each of these classes of devices allows for more efficient resource usage, particularly for the less mobile devices.
Content delivery is made more efficient in 5G using in‐network caching and service hosting environments that can be located close to the end user. This minimizes the resources needed to provide content to the end user, as well as enhancing the user experience by reducing the transmission delay between the content host and end user.
Beyond resource efficiency, other 5G network operations open doors to new business opportunities. Many additional network capabilities are exposed through Application Programming Interfaces (APIs) to allow greater control and flexibility to 3rd parties. In 5G, these include support for 3rd party creation, use, and management of network slices, enhancements for 3rd party broadcast capabilities, use and management of 3rd party service hosting environments, and accessibility to required QoE for 3rd party applications. These new APIs allow network operators to consider new business opportunities when authorizing the levels of control and network visibility granted to 3rd parties.
Enhancing the end user experience is also considered in 5G network operations. Because 5G is intended to support flexible and variable network configurations, a 5G network may be configured to support any number of specialized market requirements. These can range from addressing markets where the need is to provide a minimum level of service in a very resource and power efficient manner, such as in remote rural areas with few users and limited or unreliable power sources to addressing markets where the need is to provide highly reliable service with very low latency, such as within the confines of an urban financial firm. Other markets, such as a suburban area, may be somewhere in between these two outliers, with a mix of end user requirements for transmission speed, throughput, and latency. The 5G network provides the network operator with the flexibility to tailor the QoE experience for end users in this environment as well through dynamic priority, QoS, and policy controls.
While we have already mentioned briefly some 5G use cases in Section 1.1 we will go into more detail in this chapter and explain use cases and the underlying business models (for more information see [8]). Different use cases require different technological solutions, e.g. enabling high throughput at high speeds, ultra‐low latency and extreme high reliability. Although some of the use cases can also be covered by LTE today, future use cases requiring extreme data throughput (e.g. 8K video) or low latency and high reliability (e.g. some industry applications and AR/VR applications) and a combination of these, can only be fulfilled by 5G. And 5G is promising to be the future‐proof technology for many or even all use cases we can think of today and the ones coming.
5G will most likely bring first benefits for MNOs and their customers in the following into three areas:
Consumers living in households without fiber access can benefit from 5G bringing fiber‐like speeds to their houses, they can join the ultra‐broadband party including the world of Virtual and Augmented Reality.
5G presents an opportunity for MNOs to offer massive broadband access to homes in areas where conventional fiber‐to‐the‐home is difficult or expensive to deploy (“5G for the last mile”). Avoiding the need for time‐consuming and high‐cost civil works to lay fiber, 5G delivers faster time to market and opens the home broadband market by enabling new entrants to compete against fixed line operator.
Analysis have shown that solutions using mmWave spectrum beyond 6 GHz (e.g. 28 GHz) allow each base station to serve tens of households. The 5G short‐range FWA is expected to sustain 1 Gbps per household in the downlink (DL). To achieve such a high speed and longer ranges for 5G fixed wireless service, for example beyond urban and more densely packed suburban markets as well as rural applications, cmWave and mmWave radio technology must support large bandwidths and Multiple Input Multiple Output (MIMO) antenna beam forming techniques (see Figure 1.4).
The business modeling is based on an addressable market of, e.g. 100 000 households with 6% served by fiber and a MNO market share of 35% with a 30% take rate for the service. The discounted cash flow (year on year) is yielded by the difference between the MNO costs (capital and operational expenses) and revenue (present value of the money) from connected households (domestic units, people who live together along with non‐relatives). With these assumptions in mind, the analysis shows that the MNO business case mostly depends on the number of households served per site, the site capital expenditure and the ARPU. Simulation results for period ranging from 2019 to 2028 show that the business case appears quite sensitive to ARPU, which needs to be kept above 40 Euros (premium) and number of households per site, which should be at least 30 for a positive business case, under the above assumptions. The price erosion is insignificant, hence the sooner the service is launched, the better it is for a successful business. It should be noted that this business case is also considered by some MSOs (i.e. cable operators) for two main reasons: One reason is to leverage 5G for the last mile where fiber is not deployed yet. Another reason is to position cable technology as a backhaul for 5G.
Public transport users with ultra‐broadband connectivity can make more of their time. Watching streamed high‐definition augmented reality or conducting business meetings via video calling, many passengers will welcome new experiences on the move enabled by 5G.
5G will enable MNOs to win revenue by delivering information and entertainment services to traveling subscribers, particularly in dense urban areas as depicted in Figure 1.5. Such services will include high‐quality video streaming, augmented and virtual reality applications, online gaming and video calling. The network must be able to deliver services consistently across the area and with superior performance simultaneously to many users on public transport, traveling at relatively high speed.
High performance services could also be provided for users of non‐5G devices by transmitting 5G to a vehicle and distributing bandwidth via Wi‐Fi, for example on a train or bus. This gives an MNO the chance to use early 5G deployments to win new revenue ahead of the widespread availability of 5G devices.
Analysis of a use case for infotainment services on public transport as part of a 5G deployment across a dense city center area using 3.5, 3.7, and 25 GHz bands have shown that meeting the predicted rise in mobile and video traffic demand, cell capacity needs to be increased from 1 Gbps in LTE to 10 Gbps downlink and 3 Gbps uplink peak, with more users being supported by each cell. In addition, 5G ultra‐low latency performance will be needed to support virtual reality, gaming and other delay‐sensitive applications.
The MNO could win revenue from high value passengers and from governments for supplying 5G bandwidth to public transport. Charging could be per trip for public transport, per time or per data volume.
Assuming that 5G ARPU increases in an analogous way as for LTE, the business analysis for the city center area shows that an MNO could achieve several hundred million Euros of additional Net Present Value (NPV) over 10 years.
5G enables visitors of stadium events to get close to the sporting or entertainment action. Using real‐time virtual reality to experience being trackside at a critical moment in a race or in the middle of a pit stop is a powerful attraction.
The high throughput and low latency enabled by 5G is well‐suited to deliver services that provide alternative live views of sporting action at a major event, and to do so simultaneously to thousands of spectators. Consumers can experience being at the heart of the action with live streaming virtual reality, or they can select from a choice of camera views to see what's happening from any angle they want, click to see instant replays or enhance their experience with insights provided through augmented reality.
Furthermore, with 5G capacity in place a range of other services can be offered to subscribers at the event, from betting online to buying merchandise, from pre‐ordering refreshments to instantly sharing experiences on social media.
The high density of users and extreme throughput and latency demands of these applications cannot realistically be met by Wi‐Fi or LTE. Only 5G can support more than 500 users per cell, provide high cell edge performance with an acceptable QoE and deliver an end‐to‐end latency of less than 5 milliseconds to avoid virtual reality motion sickness.
A business case analysis has shown that an MNO providing services at five events per month at a major stadium could achieve several million dollars in NPV over 10 years from its investments in 5G. The business case viability is highly dependent on the number of events being held at a venue. At least five events per month seem to be needed to be profitable. Another analysis has shown that at a major stadium, an MNO could achieve breakeven in two years by supporting five events per month, while more than six events monthly would hit breakeven during the first year under certain assumptions on the service offering.
In many countries, roads are clogged with traffic, creating jams that are a frustrating the drivers. Truck platooning in which several trucks travel in a tightly‐knit, automatically‐controlled convoy behind a lead human‐driven vehicle, promises not only to reduce congestion and lower fuel consumption, but also to cut transport costs for logistics companies.
While the concept of truck platoons as a means of cutting operating costs and reducing road congestion has been around for many years, the advent of 5G looks to be finally bringing the idea to reality. Safe platooning depends critically on 5G's ultra‐low latency and high reliability capabilities.
Small platoons are possible using LTE and Multi‐access Edge Computing (MEC), however longer platoons are more cost‐effective and require 5G (see Figure 1.6). Platooning will also become an integral part of the future of connected vehicles enabled by 5G, including infotainment, telematics and assisted driving. Ultimately, this will lead to autonomous driving.
Truck platooning should prove attractive to logistics companies by reducing their staff costs, fuel use and supporting more efficient use of the truck fleet. MNOs are also likely to partner with vehicle makers to provide an end‐to‐end solution.
Assuming average truck fuel consumption data and delivery distance statistics, considering fuel savings of 4% for a lead truck and 10% for following trucks a business case analysis has shown that an MNO could reach breakeven on its 5G investments in six years if it received a 12.5% share of the logistics company's cost savings.
It has been forecast that more than 7 million truck platooning systems could be shipped by 2025. With hundreds of private transportation companies running more than 100 trucks in their fleet, the overall revenue opportunity for an MNO could be immense.
Healthcare systems globally are under intense pressure as populations age and economic limitations are applied. 5G can address the issues in many ways, such as enabling skilled surgeons to work remotely and with the help of intelligent robotics to provide basic care needs. Main idea is to allow for efficient use of limited resources to improve access to healthcare services for people wherever they are. Two business cases illustrate the possibilities.
Wireless telesurgery brings telecommuting to the surgical world. Procedures are performed on remotely‐located patients by surgeons with the aid of a robot. The target is to provide a remote surgeon, who could be located hundreds of kilometers from patients, with the same sense of touch (essential for localizing hard tissue or nodules) while substituting doctor's hands with robotic probes. To achieve such an experience, delay and stability are crucial in transmitting the haptic feedback (kinesthetic, as force or motion; and/or tactile, as vibration or heat), in addition to audio/video data, as substantial delays can seriously impair the stability of the feedback process and lead to cyber‐sickness.
The second business case is wireless service robots, or personal assistant robots, that use artificial intelligence to help the elderly and other patients remain active and independent with an excellent quality of life, while also reducing care costs. Service robots for care are being primed to join the labor force in roles, such as logistics, cleaning and monitoring, which can be fully automated. Beyond these simple tasks, androgynous robots are anticipated to interpret human emotions, interact naturally with people and perform complex care or household jobs. They could also assist patients and elderly people in hospital and hospice campus areas, and at home to reduce care costs, and help aging people remain active and independent with an excellent quality of life.
The target with 5G wireless is to meet the required latency and throughput, with ultra‐high reliability, between wireless robots and edge computing centers, where most of the intelligence is located, for example for object tracking, recognition and related application. Attention should be paid to the control loops, which cannot be executed locally. For instance, visual processing cannot be handled locally (because of the computational load/amount of data) and therefore is managed by a server remotely. This means a 5G wireless connectivity between peer points of Gbps, extremely low latency (below 5 milliseconds) for force control, and with extremely low failure rates.
Calculations have shown that a care provider working in partnership with an MNO would achieve breakeven in less than six years for its robot and backend server costs.
For care providers, the business case is quite sensitive to rising Operating Expenses (OPEX) and Capital Expenditures (CAPEX) per robot, including its replacement. The business case will unquestionably fly when more powerful robotic platforms will help save more costs of care, and their price will be much more accessible to consumers.
As part of the so‐called fourth Industrial Revolution, smart (digital) factories (see Figure 1.7) will deploy greater automation, interconnecting all their areas and activities to vastly improve productivity, increase staff safety and become far more flexible to meet rapidly evolving market needs.
One of the most important enablers of the smart factory of the future will be vastly increased connectivity that will link machines, processes, robots and people to create more flexible and more dynamic production capabilities. About 90% of industrial connectivity today uses wired connections which provide the high performance and reliability needed for automation, but lack flexibility to be able to rapidly meet changing production demands.
5G is the first wireless technology with high throughput, low latency and extreme reliability that can replace wireline connectivity in the factory. Wireless connectivity allows additional machines to be connected by simply equipping them with wireless sensors and actuators and if required, scaling the network capacity to handle new traffic.
In factories 5G wireless connectivity has up to five times lower costs than wired connectivity. Wireless 5G connectivity can replace wired systems in an existing facility with a short payback period.
Functional safety is one of the most crucial aspects in the operation of industrial sites like factories (see also [4]). Accidents can harm people, machines and the environment. Safety measures must be applied to reduce risks to an acceptable level, particularly if the severity and likelihood of hazards are high. Like an industrial control system, the safety system also conveys specific information from and to the equipment under control. Thus, a 5G network used at industrial sites must be able to transport safety messages between entities in a fast, secure, and reliable manner. In addition, current industrial communication systems are often isolated from the Internet and not exposed to attacks from outside. This will change with wirelessly connected industry applications. Therefore, extreme high security measures must be applied to the used wireless technologies and the overall network architecture avoiding attacks from inside and outside.
More than half of the world's population live in big cities and this portion is increasing fast. Traffic management, Public Safety, efficient supply with energy and water as well as waste management are becoming pressing issues for dense urban areas. Around 70% of the worldwide energy consumption and carbon emissions are done in cities. Until 2020 we will therefore see applications around mission control for Public Safety, video surveillance, connected mobility across all means of transport including public parking and traffic steering, and environment/pollution monitoring. These will evolve further into an intelligent traffic infrastructure, connected surveillance of drones for Public Safety scenarios. Also, tourism will benefit from AR and VR applications.
With the introduction of 5G the traditionalbusiness model with the MNO as a pure connectivity provider offering voice and short message services is outdated. In fact, one of the biggest changes for the telco industry coming with 5G is most probably the change from this simple business model to new business models where the mobile operator provides not only pure connectivity plus voice but also highly sophisticated services such as Infrastructure‐as‐a‐Service (IaaS). Network‐as‐a‐Service (NaaS), Platform‐as‐a‐Service (PaaS) to third parties, e.g. verticals, small/medium/large enterprises or tenants. These new models allow verticals to build their networks upon the mobile operator's infrastructure, optimized for their specific use cases. Consequently, many new players may be part of this game. In the past, it was mainly the MNO and the end consumer (individual people or enterprises). In future however, it is the MNO, various verticals, site (e.g. stadium or factory) owners, content owners, enterprises and their IT departments, authorities like public safety agencies, end consumers like “normal” smartphone users but also high‐end gamers. Partnerships need to be established on multiple levels ranging from sharing the infrastructure, to exposing specific network capabilities as an end to end service, and to integrating partner services into the 5G system.
The NGMN white paper [3] differentiates three roles of parties engaged in the 5G game.
One of the operator's key assets is infrastructure. Infrastructure is usually used by an operator to deliver own services to the end‐customer. However, especially in the wholesale business it is common that parts of the infrastructure can be used by a third‐party provider. Assets can be various parts of a network infrastructure that are operated for or on behalf of third parties resulting in a service proposition. Accordingly, one can distinguish between IaaS, NaaS or PaaS. Another dimension of asset provisioning is real‐time network sharing that refers to an operator's ability to integrate 3rd party networks in the MNO network and vice versa.
Another role of an operator is one of a connectivity provider. Basic connectivity involves best effort traffic for retail and wholesale customers. While this model is basically a projection of existing business models into the future, enhanced connectivity models will be added where Internet Protocol (IP) connectivity with QoS and differentiated feature sets (e.g. zero rating, latency, mobility) is possible. Furthermore, (self‐) configuration options for the customer or the third party will enrich this proposition.
Another role an operator can play in the future is one of a partner service provider, with two variants: The first variant directly addresses the end customers where the operator provides integrated service offerings based on operator capabilities enriched by partner content and specific applications. The second variant empowers partners to directly make offers to the end customers enriched by the operator's network or other value creation capabilities.
When collaborating with a 3rd party (tenant, vertical, Over‐The‐Top [OTT]) the MNO can, e.g. offer the following three basic business models to follow:
The 3rd party has no control over deployed network services and functions, network deployment and operation is under full control of the MNO, 3rd party can monitor given KPIs (KPI).
3rd party or MNO can deploy parts of the network, 3rd party can change configuration of deployed network functions and deploy own certified functions.
Third party designs, deploys and operates its own network on the infrastructure of the MNO. Third party has tight control over own network functions and services, but limited control over MNO functions.
Enabling these different new business models and modes of network control requires new technical solutions which 5G must build on. Some of these are e.g. NFV, SDN and network slicing. NFV allows the MNO to introduce new network sharing models: sharing of data center sites (buildings, rooms), infrastructure (switches, router, firewalls) and hardware (racks, blades), sharing of certain core or radio virtual network functions, sharing of frequencies. Network slicing will allow the MNO to offer its hardware, software and infrastructure to 3rd parties, i.e. offering NaaS kind of services to different service providers with the highest degree of security and isolation of slices.
3GPP has defined different deployment options as to how 5G can be introduced into existing LTE networks (see [9]). We differentiate mainly between so‐called non‐standalone (NSA) and standalone (SA) deployment solutions. In the GSMA White Paper [10] these deployment options and their pros and cons are extensively discussed including support of voice via NSA and SA. For more information on this topic see also Chapter 4.
With an NSA solution one radio technology (5G or LTE) is “anchored” at the other one (LTE or 5G) by using a dual‐connectivity mechanism. Only the master base station, the anchor point, maintains a signaling connection to the core network (either S1‐C to Evolved Packet Core (EPC) or N2 to 5GC). The signaling connection state in the device, Radio Resource Control (RRC) state, is based on the RRC state of the master base station. In addition to the master, data can be received and transmitted from/to the device or the core network via the secondary (or slave) base station. The secondary base station can also decide to establish a signaling connection to the device, which is used to send reconfiguration messages and measurement reports. There is always a signaling connection between master and secondary node enabling the master to manage data radio bearers at the secondary base station. In a standalone deployment option, the 5G or enhanced LTE base station is directly connected to the 5G Core and maintains a signaling connection with the mobile device and the 5G Core. The NSA options 3, 4, and 7, as well as standalone options 2 and 5 with the 5G base station respectively the enhanced LTE base station directly connected to the new 5G Core are shown in Figure 1.8. Note that options 3, 4, and 7 have different flavors, depending on whether there exists a user plane path between LTE and 5G base station, respectively between secondary base station and core network. We focus on options 3X and 7X as these provide several benefits compared to other flavors of options 3 and 7 (e.g. less signaling between radio and core in case of mobility events). In NSA option 4 and its flavor 4a master and secondary roles are exchanged compared to options 3 and 7, i.e. 5G base station is now the master and LTE base station serves as secondary. Therefore, option 4 works well only if 5G radio can provide sufficient coverage to maintain a connection to the devices. In option 4, there is a user plane path between the two base stations, while in option 4a user plane path is directly between core network and each base station. Introducing NSA or SA deployment options with a new 5G Core requires interworking between existing EPC and new 5GC. Native interworking between 5G and legacy technologies such as 2G and 3G is not foreseen.
The solid lines indicate data paths (user plane) between two nodes while dotted lines indicate signaling connections (control plane).
Obviously, introducing 5G with NSA option 3X based on the existing LTE/EPC network deployment is the fastest and easiest way to provide 5G services such as low latency data connections and high user throughput to the end consumer. Option 3X requires only minor changes to the existing EPC (e.g. in Mobility Management Entity [MME] and HSS), it allows aggregation data rates on LTE and 5G and can leverage features like VoLTE already implemented in LTE. LTE provides wide area coverage, while 5G can boost the throughput in certain (limited) areas. In addition, 3GPP has accelerated option 3X, thus option 3X standard was completed several months earlier than option 2 and implementations can also start earlier. Option 3X requires an upgrade on the LTE base station to act as master for 5G, but this is mainly a SW upgrade at the sites where 5G is introduced, e.g. first in hot spot and urban areas where more capacity per user and cell is needed. However, it is not required that 5G and LTE base stations are deployed at the same site.
Most operators worldwide have decided to start their 5G deployment with one of the NSA option 3 versions and potentially evolve later to NSA option 7 (i.e. evolve EPC to 5GC and upgrade LTE to connect to 5GC and EPC in parallel) and/or to standalone option 2. NSA option 3 with EPC, NSA option 7 and standalone option 2 with 5GC are expected to co‐exist for some time, together with the existing legacy LTE/EPC network (and potentially 2G/3G General Packet Radio System [GPRS] networks). In the long term, it is expected that operators migrate toward one of the options 2, 4, 5, 7 with 5G Core, so that they can smoothly shut down the EPC.
With standalone option 2 and other options with 5G Core, the operator can offer new 5G end‐to‐end services such as Network Slicing, Edge Computing, Ultra Reliable and Low Latency Communication (URLLC) services, lower latency without use of LTE, lower setup times and there is no need for LTE network upgrades. Also, operators can leverage cloud native enablers for improving availability and reliability of their Network Functions. One issue with options 2 and 4 is limited coverage of early deployments especially in high bands. This could lead to frequent handover events between 5G and LTE or requires use of a 5G coverage layer in low bands (e.g. below 1 GHz). Only few operators will start with standalone option 2 from the very beginning due to bigger investment costs.
In the context of 5G, the most important Standards Developing Organization (SDO), which is creating the 5G standards for the radio and system architecture, is the 3rd Generation Partnership Project 3GPP. 3GPP is a joint international standardization initiative between North American (Alliance for Telecommunications Industry Solutions [ATIS]), European (European Telecommunications Standards Institute [ETSI]) and Asian organizations (Telecommunications Standards Development Society India [TSDSI] in India, Association of Radio Industries and Businesses [ARIB] and Telecommunication Technology Committee [TTC] in Japan, Telecommunications Technology Association [TTA] in Korea and China Communication Standards Association [CCSA] in China) that was originally established in December 1998. The participating organizations are also called organizational partners. The scope of 3GPP was to specify a new worldwide mobile radio system. Global System for Mobile Communications (GSM) was a European initiative, while Code Division Multiple Access (CDMA) was initiated in North America, and these are not compatible with each other. The new system would be based on the evolved GSM techniques GPRS/Enhanced Data Rates for Global System for Mobile communications Evolution (EDGE). This activity has led to the standardization of the third generation (3G) Universal Mobile Telecommunications System (UMTS), which consists of WCDMA as radio technology and a core network supporting both circuit‐based voice calls and packet‐based data services. UMTS was meant as a universal standard that allows subscribers to use their UMTS capable mobile phones and subscriptions worldwide through roaming agreements between mobile operators. UMTS is a considerable success story.
But 3GPP did not stop work after UMTS; in the years that followed enhancements of UMTS like High Speed Packet Access [HSPA/HSPA+], new services like Multicast/Broadcast delivery, Location services and the Internet Protocol Multimedia Subsystem (IMS) were introduced. As a next step, LTE with a new Orthogonal Frequency‐Division Multiplexing (OFDM) based radio technology and an All‐IP core network architecture was developed to simplify the overall network architecture leading to increased operational efficiency and to cope with the rising demands on data throughput caused by new smartphone and tablet generations. The latest step in this evolution story is the development of the 5th Generation (5G) system comprising of a new radio and new core network that can fulfill the requirements on higher bandwidth and reliability, lower latency, increased operational efficiency and much higher network densification. 5G allows a wide variety of new use cases in the industrial (“digitization of industries or Industry 4.0”), enterprise and consumer market to be addressed.
3GPP is organized in different working groups (see Figure 1.9) that are responsible for various parts of the 3GPP system. The RAN groups define the radio parts of the GERAN/UMTS/LTE/5G system, the physical layer and radio protocols. The System Architecture (SA) and Core/Terminal (CT) groups specify all parts of the overall system (e.g. architecture, security, charging) and all other protocols (between the mobile device and network, within the network and between networks).
3GPP follows a phased approach; working output is delivered as a set of Technical Specifications (TS) in so‐called System Releases. Technical Specifications contain normative requirements that must be implemented by chipset, device and network equipment vendors. Interim results of ongoing work in 3GPP are usually captured in non‐normative Technical Reports (TR). Test specifications are also created by 3GPP (mainly test cases for UE to network communication). It must be noted that 3GPP defines only functions and protocols, how these functions are implemented in concrete network nodes or whether some functions are implemented in the same node is up to the network vendor. One basic design principle in 3GPP's standardization process is backward compatibility of new features with existing ones. This ensures that new features can be introduced in one network without the need to upgrade all inter‐connected networks or all other nodes within this network at the same time. Also, it ensures that the upgraded network can provide services to legacy devices that are not upgraded yet.
Table 1.9 provides a brief overview of the official release dates and milestones of the 3GPP releases up to Release 16.
Table 1.9 3GPP milestones up to Release 16.
Release | End date | Main content |
Phase 1 and 2 | 1992 and 1995 | Basic GSM Functions |
Release 96, 97, 98, 99 | 1996, 1997, 1998, 1999 | GPRS, HSCSD, EDGE, UMTS |
Release 4 | 2001 | MSC Server split architecture |
Release 5 | 2002 | HSDPA, IMS |
Release 6 | 2004 | HSUPA, MBMS, Push to Talk over Cellular (PoC) |
Release 7 | 2007 | HSPA, EDGE Evolution |
Release 8 | 2008 | LTE/SAE |
Release 9 | 2009 |
LTE/ SAE Enhancements, Public Warning System (PWS), IMS emergency sessions |
Release 10 | 2011 | LTE Advanced, Local IP Access (LIPA), Selective IP Traffic Offload (SIPTO) |
Release 11 | 2012 | Heterogeneous Network Support (HetNet), Coordinated Multipoint Operation (CoMP) |
Release 12 | 2014 | Public Safety, Machine Type Communication, HSPA/LTE Carrier Aggregation |
Release 13 | 2016 |
Cellular (Narrowband) Internet of Things (NB‐IoT) Mission‐critical Push‐to‐Talk (MCPTT) Small cell dual‐connectivity Single cell point‐to‐multipoint (SC‐PTM) Latency reduction for LTE |
Release 14 | 2017 |
Mission Critical Video and Data over LTE (MCVIDEO, MCDATA) LTE support for V2X (LTE‐V2X) Control and User Plane Separation of EPC nodes (CUPS) Latency reduction for LTE Channel model above 6 GHz Requirements for Next Generation Access Technologies |
Release 15 | 2018 |
5G Phase 1 Phase 1 schedule is as follows (see Figure 1.10):
Shortened TTI for LTE EPC support for E‐UTRAN Ultra Reliable Low Latency Communication Mobile Communication Systems for Railways |
Release 16 | 2019+ |
5G Phase 2 Studies on various new 5G features and enhancements:
|
Figure 1.10 illustrates the given 5G timeline in 3GPP for completing the different 5G options. Options 3 and 2 are first to be specified by 3GPP, followed by options 4 and 7 completion in a late drop beginning of 2019. Option 5 (LTE base station connected to 5G Core) is completed by Q3 2018. Abstract Syntax Notation No. 1 (ASN.1) freeze follows usually three months after specifying the architecture and interfaces.
For more information on the history and structure of 3GPP, visit the official 3GPP site at http://www.3gpp.org/about‐3gpp/about‐3gpp.
All 3GPP specifications can be found under http://www.3gpp.org/ftp/Specs/latest. The acronym “TS” stands for Technical Specification, “TR” for Technical Report.