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Author

C. Bouras

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Sep 2026

Dynamic Energy Management in 5G and Beyond Wireless Networks Using Reinforcement Learning

As the demand for high-speed, low-latency connectivity escalates, fifth generation (5G) and emerging sixth generation (6G) networks face significant challenges in managing energy consumption while maintaining performance standards. This paper investigates the application of Reinforcement Learning (RL) for dynamic energ...

C. Katsigiannis, Konstantinos Tsachrelias, V. Kokkinos et al. · 0 citations
Conference Jul 2026

Deep Reinforcement Learning for Handover Optimization in 5G Networks

Ultra-dense 5G networks require advanced traffic steering to maintain performance and balance load amid growing user and base station (gNB) densities. Traditional heuristics such as nearest-base-station and Signal-to-Interference-plus-Noise Ratio (SINR)-based selection provide simple solutions but struggle to adapt to...

Damianos Diasakos, V. Kokkinos, C. Bouras et al. · 0 citations
Open access Jul 2026

Optimization of Resource Allocation in 5G MIMO Networks Using Linear Assignment Algorithms

Comparison shows that, under the evaluated DeepMIMO-based scenarios, the examined assignment-based methods exhibit different trade-offs in throughput, energy-consumption-related performance, bandwidth utilization, and adaptability to varying user demands, offering useful insights for 5G MIMO resource allocation studies...

Nikolaos Prodromos, Damianos Diasakos, V. Kokkinos et al. · 0 citations

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