Results

Deliverables

Results

Trials

Coming soon…

Results

Standardisation

The project has worked towards actively contributing to Standards in different SDO/WG. 

The table and graph below summarise the results achieved so far.  

SDO/WG name/ID

Count of Contribution title/ID

3GPP

31

BFF

10

ETSI 

8

O-RAN Alliance 

6

Grand Total

55
  

The list of standards contributions made so far can be found here for public consultation. 

##SDO/WG nameContribution title/ID
13GPP / SA5Solution for Key issue#1f and #1g.doc /S5-232820
23GPP / SA5Deployment Models /S5-234475
33GPP / SA5Solution #1.15 Trigger (update) /S5-234476
43GPP / SA5Satellite backhaul Adding new use case /S5-234492
53GPP / SA5Discussion Paper for CHF Connectivity /S5-235142
63GPP / SA5Key Issue for CHF Selection #1 /S5-235884
73GPP / SA5Key Issue for CHF Selection #2 /S5-235885
83GPP / SA5Satellite Backhaul Key Issue /S5-235890
93GPP / SA5Converged charging for satellite backhaul Solution Evaluation /S5-235172
103GPP / SA5Satellite Backhaul Key Issue /S5-235173
113GPP / SA5Multicast-Broadcast Service /S5-235430
123GPP / SA5Adding new use case for IoT Devices /S5-226136
133GPP / SA5Document Structure Update /S5-233668
143GPP / SA5Solution #1.15 Trigger /S5-233522
153GPP / SA6Application Enablers Common Story (B5G acknowledgement) /S6-233819
16O-RAN Alliance / WG3E2AP-E2_Setup-Enhancement
17O-RAN Alliance / WG3E2AP-E2_Audit-Enhancement
18O-RAN Alliance / WG3E2AP-E2_Node_Configuration_Update_query
19O-RAN Alliance / WG3E2SM-VSM-Vendor_defined_model
20ETSI / OSL SDGOSL ( The IMAGINE-B5G E2E facility will fuel testing and experimentation of core technologies and architectures, facilitating innovative services and businesses, and become a key enabler for future B5G vertical services and applications. OpenSlice will be used as an orchestrator of services on top of testbeds.)
21O-RAN Alliance / WG3E2AP-E2_Overload_Indication
22O-RAN Alliance / WG3E2AP-E2 Node Component Configuration-v01 /WG3-CR-0001-
23ETSI / OCF SDGOpenCAPIF ( Research Ecosystem including SNS projects such as 6G-SANDBOX, FIDAL, IMAGINEB5G, SAFE6G, ORIGAMI, ENVELOPE and SUNRISE6G)
243GPP / SA5CHF Segmentation /S5-226135
253GPP / SA5CHF Distributed Deployment /S5-232739
26ETSI / OSL SDGOSL: Improved support for day-0, day-1, and day-2 primitives​ /osl/code&14
27ETSI / OSM SDGOSM: CVE-2022-35503 DISCLOSURE Remote Code Execution in N2VC/LCM and contribution to fixes
283GPP / SA6MC logging and replay functional architecture /S6-242035
293GPP / SA6Remove of procedure 10.1.6.2 on signalling plane registration between MC systems /S6-240412
303GPP / SA6Functional architecture for MC service logging, recording and replay /S6-243356
313GPP / SA3WID on mission critical security enhancements for release 19 /S3-242763
323GPP / SA3MC Recording Server Introduction /S3-243717
333GPP / SA6Acepted copntributions to TR 23.946 on OpenCAPIF open source implementation to section 6.2 Open-source implementation of CAPIF /TR 23.946 Rel 19 (version 0.3.0)
343GPP / SA6S6-243631: Accepted contributions to TR 23.946 on OpenCAPIF example for NEF API Expousure using OpenCAPIF (section 6.4 NEF Publishes an API) /TR 23.946 Rel 19 (version 0.6.0)
353GPP / SA6S6-243633: Accepted contributions to TR 23.946 on OpenCAPIF example for API Invoker using OpenCAPIF (section 6.8 API consumption from an API Invoker) /TR 23.946 Rel 19 (version 0.6.0)
363GPP / SA6S6-243510: Accepted contributions to TR 23.946 on OpenCAPIF examples using POSTMAN for examples in the document (Annex A: Examples from OpenCAPIF). /TR 23.946 Rel 19 (version 0.6.0)
373GPP / SA6S6-243265: Update and alignment of the listed APIs that OpenCAPIF has adopted from CAPIF with the terminology used in 3GPP TS 29.222. /TR 23.946 Rel 19 (version 0.6.0)
38ETSI / OCF SDGOpenCAPIF Release 1 /OpenCAPIF
39ETSI / OSL SDGOpenSlice 2024Q2 Release /OpenSLICE
403GPP / SA6S6-244198 pCR ETSI MEC deployment based on CAPIF /TR 23.946 Rel 19
413GPP / SA6S6-244199 pCR on NEF AEF profile updates /TR 23.946 Rel 19
423GPP / SA6S6-244200 pCR on Supported Features /TR 23.946 Rel 19
433GPP / SA6S6-244201: pCR CAPIF Core Function APIs test Annex /TR 23.946 Rel 19
44BBF / sdn-nfvThe Network X – BroadBand World Forum
45BBF / sdn-nfvBroadband Forum innovation demos at Network X
46BBF / sdn-nfvWT-477: Revise the DHCP Relay workflow /CONTRIB-23651
47BBF / sdn-nfvWT-477: Update the Multicast workflow /CONTRIB-23721
48BBF / sdn-nfvWT-477: Align the Multicast workflow with the DHCP and PPPoE workflows /CONTRIB-23771
49BBF / sdn-nfvUpdate the WT-451a1 Working Text with changes made to the protobufs /CONTRIB-24137
50BBF / sdn-nfvWT-451a1 YANG alignment with WT-477 /CONTRIB-24172
51BBF / sdn-nfvWT-451a1 general status /CONTRIB-24173
52BBF / sdn-nfvAlign protobufs with the improved WT-451 RPCs /YMDOLT-13
53BBF / sdn-nfvWT-451a1 Update YANG section (Annex A) /CONTRIB-24320
54ETSI / OSL SDGImprovement of OSL NSLCM Status /OSL/Code/TMFAPI-MR37
55ETSI / OSL SDGResource Activation Support: A Step Towards CAMARA TMF931 /OSL/Code&24

Results

Datasets

##Dataset titlePublishing dateDataset Description
15G Performance EvolutionNovember 2024Dataset – The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution
25G Interactivity DatasetDecember 2024Dataset – A Standard-compliant Assessment of Beyond-eMBB QoS/QoE in 5G Networks

 

Results

Publications

Consortium

Every new mobile communication generation comes with the emergence of novel applications and services. The fifth-generation (5G) is not an exception, its increased performance and flexibility are expected to provide support for a plethora of utilization scenarios, where the network can be tailored, in runtime, to the particular requirements of each use case. In particular, 5G is gaining the attention of different vertical industries as an enabler of Industry 4.0. However, adopting these technologies requires novel business models for delivering communication services. Moreover, 5G deployments are still in early stages, with novel functionalities expected to gradually emerge over the next few years. The 5GAIner laboratory provides a 5G experimentation en-vironment for the different stakeholders taking part in the 5G ecosystem. The goal is to facilitate vertical markets’ digital transition to 5G by providing an environment for easy inno-vation, development, and experimentation. In this context, the paper describes the existing infrastructure, provides some initial performance results, summarises the learned lessons, and outlines the expected evolution path.

Check out the paper here

The rapid increase in mobile network traffic has led to the dense deployment of network cells and the introduction of technologies such as massive Multiple-Input Multiple-Output (m-MIM O) to achieve high gain and spectral efficiency. However, these benefits come with a significant growth in Operational Expenditure (OPEX) and energy consumption, which remains a major challenge in beyond 5G and 6G networks. In this paper, we employ Deep Reinforcement Learning (DRL) techniques to efficiently switch off cells and mute MIMO antenna elements at some specific times to achieve a higher gain in terms of Energy Saving (ES) and the number of network changes without majorly affecting user satisfaction. Through extensive experiments, we demonstrate that our proposed method called Smart Energy Efficiency using DRL (SEEDRL) saves power by 8.99% and significantly reduces the number of ES state changes by 22.83% compared to its counterpart the threshold-based algorithm.

Check out the paper here.

5G technologies are considered a cornerstone of the advent of the next industrial revolution. Promising performance improvements, along with advanced features and assurances in terms of reliability, flexibility and isolation, are expected to enable the realization of diverse and novel use cases, fostering industrial automation with optimized production lines and manufacturing systems. This document shares the experience and knowledge using a 5G SA network for industrial applications. Concretely, the paper examines whether and how the available technology could fulfil the demanding industry requirements, namely in terms of isolation, flexibility and performance. This gap analysis revealed 5G QoS mechanisms as a key driver towards 5G for industry. Thus, a comprehensive analysis of the existing mechanisms and their impact on the network performance are presented, serving as a reality check of 5G SA Release 15 technologies. Although results showed promising possibilities to support industrial deployments, there is still a gap between what’s achievable and what is expected from 5G that will be gradually filled by the introduction of novel features in the upcoming releases. In general, the contributions and insights presented in this paper are considered to be valuable for industry, standards development organizations, manufacturers, and the wider 5G ecosystem. Moreover, this paper serves as a foundational component within a larger endeavour of automating network slicing mechanisms for industrial applications.

Check out the paper here

IMAGINE-B5G (Advanced 5G Open Platform for Large Scale Trials and Pilots across Europe) is an SNS Phase-1 Stream-D project which aims to implement an advanced and easily accessible end-to-end (E2E) B5G platform for large-scale trials and pilots providing a set of B5G applications, enabled by the integration of advanced 5G disrupting technologies. In this paper, we present the seven main vertical use cases targeted in IMAGINE-B5G along the four advanced 5G experimental facilities located in Norway, Spain, France, and Portugal. In addition, the onboarding of third parties (such as SMEs, industry, and researchers) for both vertical experiments and platform extensions through open calls is part of the IMAGINE-B5G road map. To that extent, we provide an overview of the 15 projects that were chosen for financing in the first open-call.

Check out the paper here

The proliferation of virtual reality (VR) interaction in the wake of the Metaverse trend will place an increasing number of applications and services into virtual environments (VEs). Over the recent years, interactions with the VE have been studied intensely, but very frequently, such interactions are focused on stationary users or users who leverage specialized contraptions to act in the VE (e.g., omni-directional treadmills). The free movement in the VE tends to be achieved by controller input, which creates a huge hurdle to enter and act in it in a natural manner. The target of this study is the translation of the natural walking motion from the real environment (RE) into the VE. In particular, we aim to explore to which extent redirected walking (RW) is achievable without being noticed by the users. Towards this goal, we test two RW methods, i.e., rotation gain and curvature gain. According to the responses of the participants in our study, we find that there is a statistically significant difference with 90% confidence between the levels of gains for rotation gain. On the other hand, levels of gains for curvature gain are not noticeable (i.e., no statistically significant difference is observed).

Check out the paper here

Fifth Generation (5G) networks are becoming the norm in the global telecommunications industry, and Mobile Network Operators (MNOs) are currently deploying 5G alongside their existing Fourth Generation (4G) networks. In this paper, we present results and insights from our large-scale measurement study on commercial 5G Non Standalone (NSA) deployments in a European country. We leverage the collected dataset, which covers two MNOs in Rome, Italy, to study network deployment and radio coverage aspects, and explore the performance of two use cases related to enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communication (URLLC). We further leverage a machine learning (ML)-based approach to model the Dual Connectivity (DC) feature enabled by 5G NSA. Our data-driven analysis shows that 5G NSA can provide higher downlink throughput and slightly lower latency compared to 4G. However, performance is influenced by several factors, including propagation conditions, system configurations, and handovers, ultimately highlighting the need for further system optimization. Moreover, by casting the DC modeling problem into a classification problem, we compare four supervised ML algorithms and show that a high model accuracy (up to 99%) can be achieved, in particular, when several radio coverage indicators from both access networks are used as input. Finally, we conduct analyses towards aiding the explainability of the ML models.

Check out the paper here

The development of 5G and Beyond 5G (BSG) technologies relies on the availability of experimentation facil-ities that can evaluate and validate the performance of these technologies. It is of great interest and challenge to design, deploy and operate large-scale experimentation platforms to meet the high requirements of various vertical use cases for the 5G services. This paper describes an i-CORA platform that we build with multiple partners in Norway to support several EU-funded projects (5GMediaHUB, IMAGINE-B5G, FIDAL and COMMECT) and vertical use cases. The platform is cloud-native and consists of four parts: a multi-vendor end-to-end 5G network with three RAN sites serving general use cases, two mobile private networks (MPNs) and three Networks on Wheels (NOWs) serving dedicated verticals, and an open source platform composed of open source solutions. i-CORA offers both advanced standalone 5G services and value-added services (e.g., security and testing) to verticals in Public Protection and Disaster Relief (PPDR), media, eHealth, Industry 4.0, etc. In this paper, we address the challenges and lessons learned during the implementation and operation of the i-CORA platform.

Check out the paper here

5G commercialization relies on validating the vertical use cases and selecting the ones creating values for both mobile operators and vertical stakeholders. To transfer the validations to commercialization more quickly, it is important to build a 5G platform not only with a similar scale and reliability as a commercial 5G but also capable of offering advanced beyond 5G services. In this paper, we propose an Experiment-as-a-Service (EaaS) framework which systematically offers four types of testing services, integration, functional, performance, and security testing. Then the iCORA (innovative, cloud-native, open, robust and automated) platform is presented to demonstrate how the EaaS framework could be realized in a large-scale 5G experimentation platform, which offers both diversity and flexibility for testing and experiments. A media use case is used to exemplify how the EaaS tailors the iCORA network to support various demands of vertical use cases and meet their KPIs.

Check out the paper here

Fifth Generation (5G) systems have been commercially available worldwide for at least a couple of years, with mid-band Non-Standalone (NSA) being the deployment mode preferred by Mobile Network Operators (MNOs). Empirical analyses have provided so far key insights on 5G NSA performance from different perspectives, but most of these works consider short time periods to drive conclusions. In this paper, we investigate the evolution of 5G NSA considering deployment, performance, and services, including positioning. We perform a large-scale measurement campaign in two phases (2021 and 2023), covering six MNOs in two European countries, Italy and Sweden. Our results show significant differences in network deployment and performance, with increasing network density and frequencies but, at times, decreasing downlink throughput performance. For the latter, we identify worse radio coverage and connectivity issues as root causes. By using a standardized methodology, we also evaluate the performance of new services such as real-time gaming and augmented/virtual reality, and reveal that stable 5G connectivity is key to meet their requirements. Similarly, we highlight the negative effects of roaming on performance. Finally, we evaluate 5G fingerprinting positioning systems and show that a higher accuracy is achievable in denser 5G deployments.

Check out the paper here.

The transition to Industry 4.0 introduces new use cases with unique communication requirements, demanding wireless technologies capable of dynamically adjusting their performance to meet various demands. Leveraging network slicing, 5G technology offers the flexibility to support such use cases. However, the usage and deployment of network slices in networks are complex tasks. To increase the adoption of 5G, there is a need for mechanisms that automate the deployment and management of network slices. This paper introduces a design for a network slice manager capable of such mechanisms in 5G networks. This design adheres to related standards, facilitating interoperability with other software, while also considering the capabilities and limitations of the technology. The proposed design can provision custom slices tailored to meet the unique requirements of verticals, offering communication performance across the spectrum of the three primary 5G services (eMBB, URLLC, and mMTC/mIoT). To access the proposed design, a Proof-of-Concept (PoC) prototype was developed and evaluated. The evaluation results demonstrate the flexibility of the proposed solution for deploying slices adjusted to the vertical use cases. Additionally, the slices generated by the PoC maintain a high TRL (Technology Readiness Level) equivalent to that of the commercial-graded network used.

Check out the paper here

Open Call Winners

This article explores the viability of ULTRA-FAB5G, a paradigm-shifting 5G use case that aims to replace traditional wired infrastructure and dedicated devices with a wireless, private 5G edge in an industrial environment. Using the IMAGINE-B5G Portuguese experimental facility, an early proof-of-concept demonstrates the capabilities of the technology, highlighting positive results in latency, jitter, and bandwidth, as well as evaluating the inter-slice latency gap at the application level. The study will progress to integrating the proof-of-concept with real industrial equipment, paving the way for a forthcoming industrial deployment. With promising results, this research showcases the potential for improved industrial landscapes using 5G and beyond technologies and provides valuable information on the evolution roadmap of 5G technologies.

Check out the paper here.