Broadcast and Multicast Communication Enablers for the Fifth-Generation of Wireless Systems

Risultati finali

MWC 2019 Demonstrator

Demonstrator at MWC 2019

IBC 2018 Demonstrator

Demonstrator at IBC 2018

EuCNC 2019 Demonstrator

This deliverable will describe the EuCNC 2019 demonstrator.

European Championships 2018 Showcase

Showcase in the European Championships 2018

Spectrum Management Demonstrator EuCNC 2018

This deliverable will describe the EuCNC 2018 demonstrator.

5G Mobile Core Network

T4.1 Mobile Core Network (M1 – M12) Task Leader: EXP Participants: EXP, NOK, O2M This task shall identify the limitations of the current LTE Broadcast technology (e.g. session management) that need to be addressed in the design of 5G mobile broadcast core network. The existing LTE Broadcast entities and building blocks (e.g. AL-FEC, reception report) shall be carefully analysed to identify which modules should be kept and enhanced for 5G mobile network, which entities should be redesigned to meet the needs of 5G and which modules should be dropped to allow a clean approach to 5G broadcast. AL-FEC building block shall be revisited to address the challenge on low latency. This task shall also address a new functionality which provides a seamless and autonomous transition between unicast and broadcast which is the current limitation in LTE-B. In addition, this task shall define network functionality which allows broadcast content pushing without end user initiative as per PWS requirements. New promising technologies such as NFV/SDN and MEC will be taken into account to define and design the 5G mobile broadcast core network. Multicast/broadcast components could be moved to the network edge thanks to NFV/SDN and MEC technologies to reduce latency. Furthermore, only required multicast/broadcast components shall be activated on-demand and located in the right place within 5G mobile broadcast core network, thanks to virtualisation technology allowing flexible broadcast deployment and network performance optimization. The design of 5G mobile broadcast core network shall be from the perspective of a full converged fixed, mobile and broadcast network developed in T4.2. This work shall closely coordinate with the work on resource and session management developed during T4.3. This task shall also leverage and incorporate the RAN architecture and air interface related enhancements developed in WP3 tasks T3.2-T3.4, and the key technology components identified in WP5 (e.g. transport protocols, media formats, etc.) into the overall 5G mobile core network.

Test-Beds Integration and Development

T6.4 Test-Beds Integration and Deployment (M10 – M21) Task Leader: UNIS Participants: BBC, BT, BPK, BLB, EXP, FS, IRT, LU, NOM, NOK, UNIS, TUAS This task is in charge of the integration of the available PoC prototypes that will be part of the existing test-beds according to the planning in T6.1. Test-beds will be developed according to the necessities to allocate the selected PoC prototypes. Testing of the PoC prototypes interoperability will be performed at the laboratories before the final integration into the test-beds. Tests will be performed in each test-bed to ensure in-site operation. The task will monitor and ensure that all test-beds are running until the end of the project and that they are accessible for the project partners.

Session Control and Management.

T4.3 Session Control and Management (M7– M18) Task Leader: LU Participants: BT, EXP, LU, NOK, O2M, TIM, TUAS, UPV This task shall address two important aspects, resource allocation and session management, in a 5G converged core network. The first work focuses in defining the granularity of resource allocation ranging from fine-grained for low bitrate (e.g. IoT, connected car) to coarse-grained for ultra-high bitrate (e.g. UHDTV). The current LTE resource allocation for multicast/broadcast is done by the core network entity called, the multi-cell coordination entity (MCE) with assistance information from MBMS-GW and BM-SC, as well as the RAN. Aligning with a new trend in 5G where the computing power is shifted to the network edge, this work shall identify in giving more decision power in some specific scenario (e.g. local broadcast) to the 5G RAN that would require more control in terms of deciding how content is delivered to the end user over the air interface. Another important work is to design resource allocation strategies to leverage autonomous MooD operation for seamless switching between unicast and multicast/broadcast as a network optimization tool. Session management allows the network operator to allocate and manage resources for a multicast/broadcast session. This sub-task shall work on flexible session management where resource, target geographic area, QoS and other parameters can be dynamically changed during the lifetime of a multicast/broadcast session. Another important work is to design an automatic session management which leverages autonomous MooD. The new session management shall address both ad-hoc and scheduled multicast/broadcast sessions. To save battery consumption, this sub-task shall also define a signalization of session announcement at the user devices without the need for continuous monitoring multicast/broadcast sessions on the air interface. This work shall also leverage a simple control plane between network operator and content source from both traditional content provider and user-created. More importantly, these works will be addressed in a standardized manner. Session management shall also address the simultaneous use of network interfaces for achieving better coverage, higher bitrates, robustness, and reliability. The device and network shall agree on the network interfaces for transmission/reception, and the data will be sent over multiple interfaces and routed to an aggregation point (either on the device, or at the network, depending on the direction uplink or downlink of the data flow). The transparent simultaneous use will take place without the awareness of the application/service/content provider. This work is in line with the vision for 5G architecture evolution.

Technology Delivery against Use Cases

T2.3 Technology evaluation and use case refinement (M6 – M24) Task leader: IRT Participants: BBC, BPK, BT, EBU, EXP, IRT, LU, NOK, O2M, SEUK, UNIS, TIM, TUAS, UPV T2.3 will ensure that use cases are realisable through coordination with other WPs. The project will review and potentially revise use cases in light of knowledge gained in the project, focussing on the potential for demonstrators. The refinement would also be done based on the ongoing activities in other related projects and standardisation forums.

RAT Protocols and Radio Resource Management

Task 3.4 RAT Protocols and Radio Resource Management (M10 - M24) Task leader: NOM Participants: BBC, FS, NOK, NOM, SEUK, UNIS, TIM, TUAS, UPV LTE eMBMS is constrained by rather rigid resource allocation splits between unicast and broadcast transmissions. Flexible resource allocation methods (e.g. accounting among others for the flexible frame structure of Task 3.2) are needed for 5G-Xcast to ensure QoS requirements for all services in mixed traffic scenarios and to provide seamless transition between unicast and multicast/broadcast modes. The work will be conducted by analysing RRM aspects, by taking into account the traffic volumes (which will impact the cell throughput), the performance requirements, grouping of users, unicast/multicast switching criteria under the MSMB RAN architecture outlined in Task 3.3. In this task, PHY-MAC cross-layer optimization will be investigated by considering 4-tier 5G-Xcast MSMB frequency resource structure (namely system bandwidth, service bandwidth, physical resource block and subcarrier), flexible and intelligent RRM algorithms will be designed to exploit service band diversity for optimized content delivery in the 5G-Xcast RAN. The cross-layer optimization will be investigated in the context of both SFN and SC-PTM. One aspect of this is that it will be made possible to trigger the mobile device to start MBMS reception from a trigger from the network which eliminates the need for the mobile device to continuously monitor MBMS channels. The intrinsic flexibility of a virtualised radio access network will be considered as well. The outcome of this study will contribute to the implementation of a more flexible and automated 5G-Xcast system, Broadcast/multicast shall be possible in a dynamically defined target area with cell-site granularity (rather than in a static and pre-configured fashion) for services such as PWS. It will also enable optimal adaption between SFN and single-cell PTM modes, etc. Another interesting topic to explore is the feasibility and value of link adaptation in the form of adaptive modulation and coding for multicast/broadcast transmissions. This task involves the investigation of introducing a secondary FEC level in the upper MAC layer to be expediently integrated and it might even replace FEC at the distant application layer, where cross-layer optimization would be required and tight interaction would appear difficult to perform. It is expected that this will improve transmission efficiency by reducing signalling overhead and delays. This will also be compared against the single bit-level rateless FEC considered in Task 3.2. The design of an appropriate feedback mechanism and feedback channel also plays a pivotal role in achieving efficient operation of the mechanisms applied to the downlink channels. The performance of the multi-service system will be assessed though system-level simulations, and the potential gain of using PTM transmissions compared to PTP connections identified under realistic conditions (including type of service, user reception conditions, user density, network topology, etc.). This task will also perform coverage, network and frequency planning exercises in a realistic scenario with different network topologies and frequency bands, and it will propose implementation guidelines for the deployment of 5G broadcast networks, taking into account existing regulation and spectrum allocations.

Key Technologies for the Content Distribution Framework

T4.2. Content Distribution Framework (M4 – M15) Task Leader: BT Participants: BBC, BLB, BPK, BT, EBU, EXP, LU, NOK, NOM, O2M, TUAS, UNIS The output of this task will be a high-level description of a framework for content distribution, which allows the combination of various optimisation techniques in an autonomous manner and will maintain a very simple interface with the content service provider, or global CDN operator. The following key technologies will be considered as part of this framework. - Multicast Operation On Demand MooD-like paradigms over various network types in support of our converged network vision will be a key optimisation tool. HTTP and derivatives, such as HTTP2 and Quick UDP Internet Connections, have become ubiquitous for non-conversational applications. HTTP is even the most common way of streaming video, despite being technically ill-suited to this task. The primary goal will therefore be the efficient delivery of HTTP (and derivative) traffic at scale using an optimum mix of unicast and multicast. A key aspect of this will be finding a suitable encapsulation format for the multicast content. Various proposals have been made to date (FLUTE, ROUTE, NORM), though none appears to be entirely suitable. This task will use the same (or very similar) encapsulation formats over all network types. It will combine MooD-like capability using CDN technology in the fixed network and MooD in the mobile network into a unified approach and drive towards converged autonomous MooD. In doing so, we will coordinate with task T4.2 of WP4. The respective benefits of using LTE Broadcast or CDN for medium popularity content will be assessed during the project when the use cases are refined (requirement for fixed/mobile convergence, availability of LTE Broadcast and CDN on base stations, etc.). This work will allow establishing the mechanism for selecting the best streaming methods (and allocating the streaming resources accordingly) and define the popularity thresholds for selecting the delivery method. - Information Centric Networking Information Centric Networking is used as a generic term for a number of techniques for content identification, discovery, caching and replication which are based on the concept of assigning unique names to pieces of content. Specific approaches, such as Content Centric Networking (CCN), represent a massive departure from a traditional caching model. Information Centric Networking (ICN) natively supports mobility, multi-access, unicast, multicast and broadcast. Although ICN is a popular research topic, there are challenges to be addressed before the industry accepts this new paradigm as the future of networking for relevant use cases. Not all of these challenges are purely technical. For example, CCN implies a rather different flow of money between infrastructure provider and content services provider which makes CCN appear more like a broadband ISP business, rather than an overlay CDN business. - Content Distribution Network In contrast to research approach of ICN, the traditional approach is of a well-planned CDN overlay in the network, consisting of a web of caches and smart request routing. However, the traditional approaches have to be significantly redesigned to work well with adaptive streaming and broadcast services for 5G-Xcast network. Specific challenges include: - Deep caching in the network, in conjunction with virtualization and edge cloud concepts for 5G. - Caching, and possibly predictive caching for segmented content (large number of small media files), network congestion and related cost issues. - Cache efficiency for adaptive streaming content (with multiple qualities). - Preventing quality oscillation issues occurring as a result of decentralized application logic interacting with caches. Probe application of server and network assistance, e.g. on the lines of MPEG (Moving Picture Experts Group), DASH SAND; here the term “network” refers to functional entitie

RAN Architecture

Task 2.3 RAN Logical Architecture (M4-M21) Task leader: NOK Participants: BBC, NOK, NOM, SEUK, UNIS, UPV The aim of this task is to define a RAN architecture for 5G to enable broadcast and multicast PTM transmissions, which is to be tightly integrated with the 5G unicast system. The task also aims to supports a wide range of future Multi-Service, Multi-Band (MSBM) services (such as M&E vertical, object-based broadcast service, PWS, etc.) with vastly diverse architectural requirements. To tackle the challenge, it is suggested to partition a single common 5G infrastructure into multiple logical end-to-end multiple service systems. This is the principle of network slicing or service multiplexing which enables dynamic provisioning of 5G-Xcast services over the RAN to the end users in an efficient manner without incurring inter-service-band-interference (ISBI). To this end, a 5G-Xcast MSMB system is envisaged to integrate broadcast, multicast and unicast services, and encompass different frame structures optimized for different services. The MSMB architecture should be highly scalable and flexible, and subsumes the stand-alone network as a special case. It is intended to establish a generic framework for the 5G-Xcast MSMB system. This analytical framework may be used to optimize i) the radio numerology and related PHY layer design defined in Task 3.2 and ii) ISBI cancellation/mitigation and other novel interference management schemes, by optimizing the resources used while dynamically slicing the network. The main goal of the task would be to define a simplified 5G RAN architecture to efficiently interwork with the core network (based on the work done in WP4), and to deliver the Xcast content in a simple and efficient manner. The task would investigate the need for the multitude of control and user plane nodes, present in legacy RAN, to be included in 5G, with the goal of designing an efficient RAN architecture that is flexible to support all the envisioned 5G use cases, as defined in WP2. It would also be investigated to whether a unified 5G-Xcast RAN architecture can be defined for the user plane delivery of traffic, for Xcast content delivery. Minimizing the usage of dedicated control plane nodes would also be investigated. The unified architecture should operate under the constraints of virtualization, softwarization, network orchestration and multi-tenancy.

Exploitation and Standardisation Report

Task 7.2: Standardisation, Exploitation and Innovation (M7 – M24) Leader: SEUK Participants: ALL This task aims at facilitating the interaction between the project and other industry partners and maximizing impact on SDOs. It also coordinates the exploitation of the results by the consortium partners and the interaction with other projects within H2020 and beyond. The objectives of this task will be achieved by: - Coordinating the submission of results to SDOs (especially 3GPP) to ensure the adoption of the concepts developed within the project in international standards. Consortium partners that are members of 3GPP and/or other SDOs will promote the project’s results, prepare contributions build support for them both within the project and from companies outside the consortium. The full list of targeted SDOs is provided in Section 2.2. - Helping the partners maximize the exploitation of the project results. - Organising booths at industry events and trade shows (MWC, IBC) where the project will be presented and the industrial impact explained. - Working with WP5 to promote demonstrators and test beds and participate at the EU flagship 5G-PPP phase-2 demonstration that will be organised at the MWC 2019. - Coordinating with other 5G projects related to broadcast and media to maximize the exploitation of the project findings. This includes sharing project deliverables and exploring possible exchange of project results with other projects; i.e. where appropriate, 5G-Xcast project results could be used in other projects and vice versa. - Working with partners to define innovation opportunities and maximize IPR generation.

Air Interface

Task 3.2 Air Interface (M4 - M18) Task leader: UPV Participants: BBC, IRT, NOK, SEUK, UNIS, UPV This task will investigate novel transmitter and receiver designs in order to assess the performance of the most promising candidate 5G transmission techniques for 5G-Xcast in terms of increased capacity and coverage. Initially (during the first 3 months) the progress of international standardisation towards the definition of the 5G unicast air interface, next-generation broadcast systems, and enhancements of eMBMS within 3GPP Rel’14 will be analysed, and it will identify the most promising transmission technologies for the 5G broadcast air interface in close alignment with the 5G unicast air interface. At present, promising candidate waveforms for 5G are Filtered-Orthogonal Frequency Division Multiplexing (F-OFDM) and its Discrete Fourier Transform (DFT) spread variant. Here, filter design will be studied in order to make F-OFDM suitable for broadband video multicast/broadcast transmissions, as well as for narrowband, short-burst, sporadic traffic as e.g. generated by PWS. As 5G is expected to be operating based on large antenna arrays, this task will address the design of multi-antenna beamforming and precoding (spatial multiplexing) for single-cell PTM and for broadcast in SFNs, novel multiplexing techniques for both unicast PTP and multicast/broadcast PTM, PTM scalable content, and interference-aware transmission techniques. For example, the potential of advanced multi-antenna precoding/beamforming techniques or the application of NOMA to facilitate concurrent broadcast/multicast transmissions for different services in the same frequency band at the same time, perhaps in a mixed HPHT / LPLT scenario shall be analysed. Similar mechanism could also be applied to allow for coexistence of SFN and non-SFN transmission. In this context considerations on appropriate pilot pattern designs and frame structures are also relevant. The parameters to be determined include transmission time interval (TTI), signal bandwidth, subcarrier spacing, resource block size, number of data and control symbols within each TTI, etc. Other important topics include i) replacing symbol-level rateless coding, which is applied at the application layer in LTE eMBMS, with bit-level rateless coding at the PHY or MAC (Medium Access Control) layer in order to improve efficiency as well as reduce overhead and transmission latency; ii) interference cancellation, and adaptive regularization of Interference Rejection Combining (IRC) algorithms, the optimal combining scheme in an interference-limited scenario such as when local content is transmitted in non-SFN mode; iii) the enhancement of the time interleaving over several transmission time intervals (TTIs) to improve the resilience against signal fluctuation in time, since the 5G unicast air interface is expected to provide a very short TTI (<1 ms) in order to minimize the latency and processing delay. This is essential for PTM transmissions where retransmissions/HARQ (Hybrid Automatic Repeat Request) are not available.

Future Work and Longer-Term Use Cases

T2.4 Possible future work and longer-term use cases (M21 – M24) Task leader: TIM Participants: BBC, BPK, EBU, EXP, FS, IRT, LU, O2M, TIM, TUAS, UPV T2.4 will identify possible future work and longer-term use cases by assessing the extent to which the original use cases have been met by developments within the project and analysing areas where it may not have been possible for the technology developed within the project to fully deliver. This task will also identify potential spectrum options for 5G broadcasting. Results will contribute to the international technical process in preparation of the WRC-19.

Development of Showcase and Demonstrators

T6.3 Demonstrators Development and Showcase (M10 – M21) Task Leader: BBC Participants: BBC, BT, BLB, BPK, EBU, EXP, FS, IRT, LU, NOM, NOK, O2M, UNIS, TUAS, UPV This task is the link to the development of demonstrators following the plan defined in T6.1. In this task, the PoC prototypes will be integrated into the final demonstrators developed for external exhibition and showcase. The demonstrators will be tested in the laboratory beforehand to ensure that their intended functionalities and capabilities are met. This task will provide the necessary coordination between project partners and external organizations in order to organize the deployment of the demonstrators at different events such as IBC 2018 and MWC 2019, the European Championships in 2018 and other scientific conferences.

Definition of Use Cases, Requirements and KPIs

T2.1 Definition of the use cases (M1 – M3) Task leader: EBU Participants: BBC, BPK, BT, EBU, IRT, LU, NOM, O2M, TIM, TUAS In T2.1 the different use cases will be defined. The issues in addressing these use cases with existing networks and approaches will be identified and an illustration given as to how these will be enabled by the developments within 5G-Xcast. The focus will be on M&E and PWS use cases with a view to these being taken forward into PoC prototypes and demonstrators. However, IoT and automotive applications will also be considered. The definition of the use cases will draw on the extensive experience of the project partners as well as the depth of knowledge provided by the AB and work already performed in the 5G-PPP whitepapers. Different convergence scenarios will also be identified. T2.2 Definition of Requirements and KPIs for the use cases (M3 – M5) Task leader: BBC Participants: BBC, BPK, EBU, EXP, FS, IRT, LU, NOK, NOM T2.2 will define explicit requirements and KPIs for the use cases identified in T2.1 and these will be the target for the developments within the other WPs. The KPIs and requirements that are identified will be used to benchmark the existing state of the art as well as the new techniques developed within 5G-Xcast.

Analysis and Development of Public Warning in 5G-Xcast

This deliverable will summarize the work related to public warning systems in the project.

Final Evaluation and Validation

T6.5 Evaluation and Validation of Demonstrators and Test-Beds (M13 – M24) Task Leader: IRT Participants: BBC, BT, BLB, BPK, EXP, IRT, LU, NOM, NOK, O2M, UNIS, TUAS, UPV The main duty of this task will be the validation and evaluation of the M&E and PWS use cases represented and implemented as real services in the different demonstrators and test-beds. The task will conduct extensive measurement campaigns and trials in the test-beds to validate the integrated 5G-Xcast solutions against the M&E and PWS use cases, requirements and KPIs defined in WP2. The measurements and outputs of this task will provide feedback to the WP3, WP4 and WP5 on a technical level so that it may be possible to improve the demonstrators and the test-beds. For dissemination purposes, the results will be delivered to WP7.

Dissemination Report

Task 7.1: Dissemination (M1 – M24) Leader: EBU Participants: ALL This task ensures that the work within 5G-Xcast will be publicized to the interested parties by: - Establishing and maintaining a communication link with different parties using the public website where the consortium will be presented, project objectives explained and public deliverables made accessible. Other means of promoting the project include the use of social media. The communication activity and social media activity are coordinated by the task leader but the content is produced by all partners. - Maximizing the scientific visibility by publishing papers in major IEEE conferences and high impact journals. Visibility will be guaranteed also by providing open access to the submitted versions of the paper on the project dissemination webpage in compliance with the EC open policy. - Organising workshops in parallel with IEEE conferences as well as trainings and summer schools. - Publishing white papers to describe the project as a whole and to highlights the final results. A list of targeted conferences and other events is given in Section 2.2. All partners will participate in these events whenever they have significant results to be disseminated.

Performance of LTE Advanced Pro (Rel’14) eMBMS

Task 3.1 LTE-Advanced Pro Broadcast Benchmark (M1 - M6) Task leader: BBC Participants: BBC, IRT, NOK, SEUK, UNIS, TUAS, UPV This task will evaluate the performance of the latest enhancements of eMBMS mainly related to PHY layer enhancements for larger broadcast areas that are currently being discussed in LTE-Advanced Pro Rel’14, at the beginning of the project. The performance of eMBMS will be measured using link, system-level and coverage simulations in relevant scenarios identified in WP2. 5G-Xcast consortium members, particularly IRT, TUAS, EE, have extensive expertise and experience in field testing of early releases of eMBMS systems, and are thus capable of carrying out measurement campaigns of eMBMS Rel’14 and beyond. These results will serve as benchmark to compare with the performance of the 5G-Xcast new radio solutions developed throughout this project.

Analysis and Development of Terrestrial Broadcast in 5G-Xcast

This deliverable will summarize all the work related in terrestrial broadcast in the project.

Converged Core Network and Architecture

T4.2 Converged Core Network (M4 – M15) Task Leader: BT Participants: BBC, BLB, BPK, BT, EXP, LU, NOK, O2M This task first analyses the continued work on 5G network architecture to ascertain whether the requirements for future M&E services will be addressed and the overall impact for M&E services. Consequently, from this initial activity, specific proposals for the fixed/mobile/broadcast networks will be addressed in this task. In particular: - Mobile network: to validate the integration of multicast and broadcast components from user equipment, access and core network perspectives. The outcome of task T4.1 shall be integrated into this task. In addition, the work on APIs shall be addressed in order to connect the 5G Converged Core Network to the content provider system. The user equipment side will also be designed on how applications would interact with the 5G converged core network. - Fixed network: to validate the claims of ‘convergence and commonality’ across all of the 5G-Xcast how unicast and multicast traffic is normally delivered over fixed networks and explain how the key 5G-Xcast concepts, in particular autonomous unicast and multicast/broadcast switching could be mapped onto a fixed architecture, whilst preserving our goal of keeping an extremely simple Content Service Provider API. This task will further describe the details of how caching could be integrated in the way that will be consistent with the framework set out in WP6. - Broadcast network: DTT networks will be addressed to determine how the concepts of broadcast within 5G-Xcast can be applied across this architecture. Current state-of-the-art systems such as ATSC 3.0, which is based on an IP stack, and DVB-T2 will be investigated to determine the best way to deploy within the 5G-Xcast converged core network in cooperation with these existing technologies and enable transition scenarios. There are three possibilities envisaged as follows: ‐ Existing core plus new radio: the new 5G-Xcast RAN layer could be deployed on a DTT network but be used to carry existing upper layers such as DVB Transport Stream. This would ensure compatibility with existing upper layer implementations within in TVs and set-top boxes. This approach is akin to the one currently being studied in 3GPP SA4 for EnTV. ‐ Existing broadcast radio plus new core - the existing physical layer (e.g. DVB-T2) would be used to carry the new Transport and Application layers developed within 5G-Xcast. ‐ New broadcast radio plus new core: the complete 5G-Xcast stack could be deployed on a DTT network to enable a complete 5G broadcast solution with all the benefits of convergence. After identifying and analysing the specific functionalities and requirements of each network, a full converged core network proposal will be defined (including mobile, fixed and broadcast capabilities) focussing on the impact for M&E services. Network slicing, multiple RATs, virtualization and caching technologies shall be envisaged to meet the 5G converged core architectural requirements. In particular, this task shall focus on seamless content delivery, hybrid access with increased bandwidth for M&E service consumption and providing access to localized content servers to satisfy delay constraints.

Definition of a Top-Level End-to-End Architectural Vision

T5.1 Top-level End-to-End Architectural Vision (M1 – M6) Task Leader: BPK Participants: BBC, BLB, BPK, BT, EBU, EXP, LU, O2M This task will set out the vision in much greater detail. It will seek to argue the validity of the criteria set out in the objectives above, supported by quantified projections, and will explain broadly how the key technology components will work together in an overall content delivery system. This task will be tightly coupled with the use cases set out in WP2. Both WP2 and this task will have a significant number of contributors in common to ensure that the use cases and the WP5 vision are coherent. The task will produce a document which will serve to ensure that internally, the project partners all have a common view of what we are trying to achieve, and externally, will allow a critique of our approach and influence the thinking of other organisations (notably standards organisations).

Application and Service Layer Intelligence

T5.3 Application Layer Intelligence (M7 – M18) Task Leader: LU Participants: BT, BLB, BPK, EBU, EXP, LU, NOM, O2M One way to achieve convergence is to implement as much service logic as possible at the endpoints of a connection, including in the service layer, outside of the individual network operators’ domains. Indeed, one of the principles of the 5G-Xcast approach is that any requirement which can be satisfied with application- or service-level logic, without support from the network, will be. The purpose of this task is to describe how solutions to common problems can be solved without explicit network support, either purely at the application or service layer, or at least, as end-point only solutions. One common requirement is for seamless session handover between different network types. This task will consider various ways to achieve this, particularly for video streaming, using application or service-level logic, including multilink approaches and intelligent application logic. This work will also consider application and service level to help control the end user QoE. Again, some of the key technologies described earlier in this WP will have a role to play, including multilink but also some other approaches, such as more flexible coordination between the application and the transport protocol behaviour. The output from this task will be a document describing how these requirements can be met with application and service layer intelligence.

Data Management Plan

Data management plan for the open research data pilot.

Pubblicazioni

Zero-guard OFDM performance in SFN with ATSC 3.0 ultra-robust transmission modes

Autori: Jose Luis Carcel, Jordi Joan Gimenez, David Gomez-Barquero
Pubblicato in: 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2017, Pagina/e 1-5, ISBN 978-1-5090-4937-0
Editore: IEEE
DOI: 10.1109/BMSB.2017.7986219

Designing a Testbed Infrastructure for Experimental Validation and Trialing of 5G Vertical Applications

Autori: Juha Kalliovaara, Reijo Ekman, Jarkko Paavola, Tero Jokela, Juhani Hallio, Jani Auranen, Pekka Talmola, Heikki Kokkinen
Pubblicato in: CrownCom 2017: Cognitive Radio Oriented Wireless Networks, 2017, Pagina/e 247-263, ISBN 978-3-319-76207-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-76207-4_21

Challenges for enabling virtual reality broadcast using 5G small cell network

Autori: Athul Prasad, Mikko A. Uusitalo, David Navratil, Mikko Saily
Pubblicato in: 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2018, Pagina/e 220-225, ISBN 978-1-5386-1154-8
Editore: IEEE
DOI: 10.1109/WCNCW.2018.8368976

Partial HARQ Retransmission for Broadcast in Fading Channels

Autori: Belkacem Mouhouche, Louis Christodoulou, Manuel Fuentes
Pubblicato in: Computer Science & Information Technology (CS & IT), Numero Once a year, 2017 edition, 2017, Pagina/e 35-44, ISBN 9781-921987731
Editore: Academy & Industry Research Collaboration Center (AIRCC)
DOI: 10.5121/csit.2017.71404

Roads to Multimedia Broadcast Multicast Services in 5G New Radio

Autori: Wei Guo, Manuel Fuentes, Louis Christodoulou and Belkacem Mouhouche
Pubblicato in: IEEE BMSB 2018, Numero Once a year, 2018 edition, 2018
Editore: IEEE

Enhancements for Enabling Point-to-Multipoint Communication Using Unlicensed Spectrum

Autori: Athul Prasad, Petteri Lunden, Zexian Li, and Mikko A. Uusitalo
Pubblicato in: IEEE BMSB 2018, 2018
Editore: IEEE

Trial of spectrum sharing in 2.3GHz band for two types of PMSE equipment and mobile network

Autori: Tero Jokela, Heikki Kokkinen, Juha Kalliovaara, Jaakko Ojaniemi, Arto Kivinen, Tibor Lakner, Juhani Hallio, Jarkko Paavola
Pubblicato in: IEEE BMSB 2018, 2018, ISBN 978-1-5386-4729-5
Editore: IEEE

Enhanced TV Delivery with eMBMS: Coverage Evaluation for Roof-Top Reception

Autori: Jordi Joan Gimenez, Simon Elliott, David Vargas, Peter Renka and David Gomez-Barquero
Pubblicato in: IEEE BMSB 2018, 2018
Editore: IEEE

Non-Uniform Constellations for Broadcast and Multicast in 5G New Radio

Autori: Manuel Fuentes, Louis Christodoulou, Belkacem Mouhouche
Pubblicato in: IEEE BMSB 2018, 2018
Editore: IEEE

Rate-Splitting for Multigroup Multicast Beamforming in Multicarrier Systems

Autori: Hongzhi Chen, De Mi, Zheng Chu, Pei Xiao, Rahim Tafazolli
Pubblicato in: IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Numero Date of Conference: 23-30 June 2018, 2018
Editore: IEEE

Performance Evaluation of ATSC 3.0 DASH over LTE eMBMS

Autori: Ece Öztürk, Waqar Zia, Volker Pauli and Eckehard Steinbach
Pubblicato in: IEEE BMSB 2018, 2018
Editore: IEEE

Optimizing Over-The-Air Virtual Reality Broadcast Transmissions with Low-Latency Feedback

Autori: Athul Prasady, Andreas Maederz, and Mikko A. Uusitalo
Pubblicato in: IEEE 5G WF 2018, 2018
Editore: IEEE

Pioneering studies on LTE eMBMS: Towards 5G Point-to-Multipoint Transmissions

Autori: Hongzhi Chen, De Mi, Manuel Fuentes, David Vargas, Eduardo Garro, Jose Luis Carcel, Belkacem Mouhouche, Pei Xiao, Rahim Tafazolli
Pubblicato in: IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Numero Date of Conference: 8-11 July 2018, 2018
Editore: IEEE

Enabling Vertical Industries Adoption of 5G Technologies: a Cartography of evolving solutions

Autori: Anastasios Zafeiropoulos, Panagiotis Gouvas, Eleni Fotopoulou, George Tsiolis, Thanos Xirofotos, Stamatia Rizou, Jose Bonnet, Anastasius Gavras, Maria Joao Barros, Gino Carrozzo, Xavier Costa-Perez, Athul Prasad, Marco Gramaglia, Anna Tzanakaki, Dimitra Simeonidou, John Cosmas, Mikael Fallgren, Raul Muñoz, Ricard Vilalta
Pubblicato in: EuCNC 2018 Conference, 2018
Editore: IEEE

Wideband Broadcasting: A Power-Efficient Approach to 5G Broadcasting

Autori: Jordi Joan Gimenez, David Gomez-Barquero, Javier Morgade, Erik Stare
Pubblicato in: IEEE Communications Magazine, Numero 56/3, 2018, Pagina/e 119-125, ISSN 0163-6804
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/MCOM.2018.1700675

Point-to-Multipoint Communication Enablers for the Fifth Generation of Wireless Systems

Autori: David Gomez-Barquero, David Navratil, Steve Appleby, Matt Stagg
Pubblicato in: IEEE Communications Standards Magazine, Numero 2/1, 2018, Pagina/e 53-59, ISSN 2471-2825
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MCOMSTD.2018.1700069

EU-funded research in 5G broadcast - 5G-Xcast

Autori: Darko Ratkaj
Pubblicato in: Tech-i, Numero Numero 33, September 2017, 2017, Pagina/e 13
Editore: European Broadcasting Union

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