Fueling the next quantum leap in cellular networks: Embracing AI in 5G evolution towards 6G

X Lin, M Chen, H Rydén, J Jeong, H Lee… - arXiv preprint arXiv …, 2021 - arxiv.org
Cellular networks, such as 5G systems, are becoming increasingly complex for supporting
various deployment scenarios and applications. Embracing artificial intelligence (AI) in 5G …

Deep Reinforcement Learning Enhanced Rate-Splitting Multiple Access for Interference Mitigation

ON Irkicatal, ET Ceran, M Yuksel - arXiv preprint arXiv:2403.05974, 2024 - arxiv.org
This study explores the application of the rate-splitting multiple access (RSMA) technique,
vital for interference mitigation in modern communication systems. It investigates the use of …

Deep Reinforcement Learning Aided Rate-Splitting for Interference Channels

ON Irkiçatal, M Yuksel, ET Ceran - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Rate-splitting multiple access (RSMA) has emerged as a powerful transmission scheme to
mitigate interference in next generation communication systems. In this paper, we …

A Novel Model-Assisted Decentralized Multi-Agent Reinforcement Learning for Joint Optimization of Hybrid Beamforming in Massive MIMO mmWave Systems

Y Yan, B Zhang, C Li, J Bai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To meet the explosive increasing demands for high data rates, hybrid beamforming has
become a promising paradigm for massive MIMO millimeter wave (mmWave) systems. In …

A Multi-Agent Deep-Reinforcement-Learning-Based Strategy for Safe Distributed Energy Resource Scheduling in Energy Hubs

X Zhang, Q Wang, J Yu, Q Sun, H Hu, X Liu - Electronics, 2023 - mdpi.com
An energy hub (EH) provides an effective solution to the management of local integrated
energy systems (IES), supporting the optimal dispatch and mutual conversion of distributed …

Proactive Caching with DRL in Cloud-Edge Assisted Cyber-Physical-Social Systems

Y Hu, N Cao, Y Liu, X He - 2023 IEEE Intl Conf on Dependable …, 2023 - ieeexplore.ieee.org
Cyber-physical-social systems (CPSS) combining cyber-physical systems (CPS) with social
networking aim to provide the personalized big data services for humans. To support CPSS …

Distributed Reinforcement Learning for Low-delay Uplink User Scheduling in Multicell Networks

A Destounis, D Tsilimantos - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
In this paper we investigate the problem of uplink scheduling in a multicell system in order to
minimize the total queuing delay at the mobile devices. The proposed setting introduces an …

Bandit Methods for Network Optimization: Safety, Exploration, and Coordination

F Vannella - 2023 - diva-portal.org
The increasing complexity of modern mobile networks poses unprecedented challenges to
their optimization. Mobile Network Operators (MNOs) need to control a large number of …