5G brings the need to support different kinds of UEs (e.g., for the Internet of Things (IoT), services, and technologies is driving the technology revolution to a high-performance and highly efficient 3GPP system. The drivers include IoT, Virtual Reality (VR), industrial control, ubiquitous on-demand coverage, as well as the opportunity to meet customized market needs. These drivers require enhancements to the devices, services, and technologies well established by 3GPP. The key objective with the 5G system is to be able to support new deployment scenarios across diverse market segments.
The present document specifies the protocol conformance testing for the 3GPP UE connecting to the 5G System (5GS) via its radio interface(s). The following information can be found in the present document (first part of a multi-part test specification): - the overall test structure; - the test configurations; - the conformance requirement and references to the core specifications; - the test purposes; and - a brief description of the test procedure, the specific test requirements and short message exchange table. The applicability of the individual test cases is specified in the ICS proforma specification (3GPP TS 38.523-2 [2]). The Test Suites are specified in part 3 (3GPP TS 38.523-3 [3]). The present document is valid for UE implemented according to 3GPP Releases starting from Release 15 up to the Release indicated on the cover page of the present document.
Mobile and fixed networks are evolving towards ultra-broadband and, with 5G, are going to converge. The use of much broader frequency ranges, up to 60 GHz, where radio propagation is an issue, is going to impact the network deployment topologies. In particular, the use of higher frequencies and the need to cover hot/black spots and indoor locations, will make it necessary to deploy much denser amount of radio nodes. 5G is introducing major improvements on Massive MIMO, IoT, low latency, unlicensed spectrum, and with V2x for the vehicular market. Support of some of these services will have a relevant effect on the power ratings and the energy consumption at the radio base station. A major new service area of 5G impacting the powering and backup will be the URLLC (Ultra Reliable Low Latency Communication) as its support will increase the service availability demands by many orders of magnitude. Supporting such high availability goals will be partly reached through redundant network coverage, but a main support will have to come through newly designed powering architectures. This will be made even more challenging as 5G will require the widespread introduction of distributed small cells. ETSI TS 110 174-2-2 [i.5] analyses the implications and indicates possible solutions to fulfil such high demanding availability goals. There is a need to define sustainable and smart powering solutions, able to adapt to the present mobile network technologies and able to evolve to adapt to their evolution. The flexibility would be needed at level of power interface, power consumption, architecture tolerant to power delivery point changes and including control-monitoring. This means that it should include from the beginning appropriate modularity and reconfiguration features for local powering and energy storage and for remote powering solutions including power lines sizing, input and output conversion power and scalable sources. The present document was developed jointly by ETSI TC EE and ITU-T Study Group 5. It is published respectively by ITU and ETSI as Recommendation ITU-T L.1210 [i.7] and ETSI ES 203 700 (the present document), which are technically-equivalent.
The ITU-T Focus Group on Machine Learning for Future Networks including 5G was established by ITU-T Study Group 13 at its meeting in Geneva, 6-17 November 2017. The Focus Group will draft technical reports and specifications for machine learning (ML) for future networks, including interfaces, network architectures, protocols, algorithms and data formats.
The EMTEL Special Committee is responsible for the capture of European requirements concerning emergency communication services, covering typically the four scenarios in case of an emergency e.g. communication of citizens with authorities, from authorities to citizens, between authorities and amongst citizens. In addition, EMTEL deals with topics like location (e.g. Advanced Mobile Location), NG112, communications involving IoT devices in emergency situations and alerting.
The document aims at providing recommendations for the introduction of autonomics (management and control intelligence) in the 3GPP Core and Backhaul network architectures. To this effect, it covers the instantiation of the reference model for Autonomic Networking, Cognition and Self-Management, called GANA (Generic Autonomic Networking Architecture), onto the architecture defined in ETSI TS 123 401 and ETSI TS 123 402. It superimposes GANA Decision Elements (DEs) into node/device architectures and the overall 3GPP network architecture, so that the DEs and their associated Control-Loops can be further designed to perform autonomic management and control of the specific resources (Managed Entities) in the target architecture. It develops recommendations on the basic behaviours of the GANA Functional Blocks (FBs) in the above context. 3GPP specifications on policy control (ETSI TS 123 203) and network management (TS 123 32x series) are taken into account into the working reference architecture. It also involves the backhaul network and associated interactions between the different entities for an optimization with an end-to-end perspective.
SCOPE: The present document covers the Radio Access Architecture and Interface aspects of the study item “New Radio Access Technology” [1]. The purpose of this TR is to record the discussion and agreements that arise in the specification of the “New Radio Access Technology” from an Access Architecture and Interface specification point of view.
SCOPE: The present document defines the Stage 2 system architecture for the 5G System. The 5G System provides data connectivity and services. This specification covers both roaming and non-roaming scenarios in all aspects, including interworking between 5GS and EPS, mobility within 5GS, QoS, policy control and charging, authentication and in general 5G System wide features e.g. SMS, Location Services, Emergency Services.
The adoption of AI in telecommunications systems is expected to foster the investments made not only in connectivity itself, but also in digital infrastructures.
AI-native networks can contribute to creating better networks that allow for reducing the digital gap (through pervasive and reliable communications) while being sustainable. As a byproduct of the integration of AI in telecommunications, it is expected that the entrance of new players (e.g., virtual operators, AI experts, over-the-top providers) into the ecosystem will increase the competitiveness of the sector, thus positively impacting the investments in the telecommunications infrastructure.
Impact on society (7th Open Call)
The standardization of AI-native networks would ensure the interoperability principle stated in the Ministerial Declaration of Tallinn.
As part of Release 19, the new IoT NTN work item aims to bridge existing gaps in uplink transmission and store & forward mechanisms, enhancing the integration of IoT into Non-Terrestrial Networks.
Standardizing the Internet of Things (IoT) Non-Terrestrial Network in the 3rd Generation Partnership Project by decreasing the power consumption to maintain mobile connectivity will allow new IoT use cases. Therefore, European SMEs can increase their competitiveness by supporting mobile connectivity for applications or devices with stringent low-power requirements, such as agriculture or energy/water management.
Impact on society (6th Open Call)
The proposed study under my fellowship can decrease the power consumption of user equipment and base stations. Energy price and availability are some of the most critical topics in Europe. Low-power IoT devices with non-terrestrial network connectivity have applications that may benefit society, such as sensors for agriculture, environmental monitoring, and energy/water management in rural areas.