GRCM - Radio Communication Research Group: Enviaments recents
Ara es mostren els items 1-12 de 511
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BeGREEN: Beyond 5G energy efficient networking by hardware acceleration and AI-driven management of network functions
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertThis paper presents a technical overview of BeGREEN project, a Horizon Europe, Smart Networks and Services Joint-Undertaking (SNS-JU) Phase 1 project kicked off on January 1, 2023 [1]. This paper is intended to describe ... -
An evolutionary edge computing architecture for beyond 5G era
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Comunicació de congrés
Accés obertBeyond 5G (B5G) communication networks face the challenge of meeting the demanding requirements of various service types, including uRLLC, mIoT, eMBB, and emerging technologies like Extended Reality (XR). Edge computing ... -
Expanding edge computing deeper into beyond 5G radio access networks
(2023)
Text en actes de congrés
Accés obertRelevant services envisaged for beyond 5G (B5G) systems, such as extended reality and holographic communications, present stringent user experience requirements with high computational and communication demands. While edge ... -
Deep Learning-based algorithm for optimizing relay user equipment activation in 5G cellular networks
(Institute of Electrical and Electronics Engineers (IEEE), 2023-10-27)
Article
Accés obertThis paper addresses the problem of optimally using the relay capabilities of user equipment (UE) to augment the radio access network (RAN) in 5G deployments and beyond. This can be particularly useful in coverage constrained ... -
On the application of Q-learning for mobility load balancing in realistic vehicular scenarios
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertOne of the applications where fifth generation (5G) networks are expected to have a greatest impact is vehicular-to-everything (V2X) communications. The exchange of data among different vehicles on the network will make ... -
The role of network digital twinning in a 6G-oriented optimization-as-a-service platform
(Luis Landesa-Porras, 2023)
Comunicació de congrés
Accés obertThe advent of 5G has meant providing users with higher data rates, more connected devices and lower latency, implying the need to redefine traditional network management methods. In addition, 6G is expected to provide much ... -
On the design of a network digital twin for the radio access network in 5G and beyond
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-01-20)
Article
Accés obertA Network Digital Twin (NDT) is a high-fidelity digital mirror of a real network. Given the increasing complexity of 5G and beyond networks, the use of an NDT becomes useful as a platform for testing configurations and ... -
AI-powered edge computing evolution for beyond 5G communication networks
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertEdge computing is a key enabling technology that is expected to play a crucial role in beyond 5G (B5G) and 6G communication networks. By bringing computation closer to where the data is generated, and leveraging Artificial ... -
A tutorial on the characterisation and modelling of low layer functional splits for flexible radio access networks in 5G and beyond
(Institute of Electrical and Electronics Engineers (IEEE), 2023-10)
Article
Accés obertThe centralization of baseband (BB) functions in a radio access network (RAN) towards data processing centres is receiving increasing interest as it enables the exploitation of resource pooling and statistical multiplexing ... -
A deep q network-based multi-connectivity algorithm for heterogeneous 4G/5G cellular systems
(Springer, 2022)
Text en actes de congrés
Accés restringit per política de l'editorialMulti-connectivity, which allows a user equipment to be simultaneously connected to multiple cells from different radio access network nodes that can be from a single or multiple radio access technologies, has emerged as ... -
Deep learning-based multi-connectivity optimization in cellular networks
(2022)
Comunicació de congrés
Accés restringit per política de l'editorialMulti-connectivity emerges as a useful feature to handle the traffic in heterogeneous cellular scenarios and fulfill the demanding requirements in terms of data rate and reliability. It allows a device to be simultaneously ... -
On the implementation of a reinforcement learning-based capacity sharing algorithm in O-RAN
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Comunicació de congrés
Accés restringit per política de l'editorialThe capacity sharing problem in Radio Access Network (RAN) slicing deals with the distribution of the capacity available in each RAN node among various RAN slices to satisfy their traffic demands and efficiently use the ...
