GRCM - Radio Communication Research Group
Collections in this community
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Articles de revista [150]
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Preprints [0]
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Reports de recerca [51]
Recent Submissions
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Virtual reality traffic prioritization for Wi-Fi quality of service improvement using machine learning classification techniques
(2024-10)
Article
Restricted access - publisher's policyThe increase in the demand for eXtended Reality (XR)/Virtual Reality (VR) services in the recent years, poses a great challenge for Wi-Fi networks to maintain the strict latency requirements. In VR over Wi-Fi, latency is ... -
A spatio-temporal prediction methodology based on deep learning and real Wi-Fi measurements
(2024-08)
Article
Restricted access - publisher's policyThe rapid development of Wi-Fi technologies in recent years has caused a significant increase in the traffic usage. Hence, knowledge obtained from Wi-Fi network measurements can be helpful for a more efficient network ... -
An Optimization-as-a-Service platform for 6G exploiting network digital twins
(The Institution of Engineering and Technology, 2024)
Part of book or chapter of book
Restricted access - publisher's policyThe continuous evolution of the communications networks in the race to support 6G services will introduce important operational challenges for network operators, especially in terms of efficient usage of resources, near ... -
Space and time user distribution measurements dataset in a university campus
(2024-04)
Article
Open AccessRadio Resource Management (RRM) strategies are essential components in mobile wireless networks, such as Long Term Evolution (LTE) or 5G New Radio (NR)[1]. The design of RRM algorithmic solutions is an area of research ... -
Relay-empowered beyond 5G radio access networks with edge computing capabilities
(2024-04)
Article
Open AccessRelevant services envisaged for beyond 5G (B5G) systems, such as extended reality and holographic communications, have extremely demanding user experience requirements with significant computational and communication ... -
Reinforcement learning tools for 5G and beyond radio access networks: from concept to implementation
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference lecture
Open Access -
On the detection and solution of coverage holes in 5G networks through relay user equipment: a combined DBSCAN and deep-Q network approach
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessThis paper proposes a model to detect and solve coverage holes in 5G Radio Access Network (RAN) deployments operating with millimeter waves. The proposed model utilizes a DBSCAN-based detector to identify coverage constrained ... -
BeGREEN: Beyond 5G energy efficient networking by hardware acceleration and AI-driven management of network functions
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessThis 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)
Conference lecture
Open AccessBeyond 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)
Conference report
Open AccessRelevant 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
Open AccessThis 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)
Conference report
Open AccessOne 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 ...
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