Author

Mohamed M. H. Shalma

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Preprint Sep 2026

DDPG-Based Intelligent Handover For STAR-RIS-Assisted 6G Networks

Intelligent handover management is a key capability for future 6G networks. This paper investigates enhanced handover strategies in systems assisted by Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces (STAR-RIS). In addition, it explores the optimal placement of multiple base stations (BSs...

Amr Mansour, Hanan H. Hussein, Marya Albert et al. · 0 citations

Jul 2026

Optimal Base Station Placement for Beyond 5G Networks with Non-Convex Topology

This paper investigates the optimal placement of a millimeter-wave base station (BS) within a realistic U-shaped environment with non-convex topology and proposes two deep reinforcement learning (DRL) techniques that achieves better solution than DQN with lower complexity.

Mohamed M. H. Shalma, Amr Mansour, Ahmed El-Mahdy · arXiv.org · 0 citations

Preprint Aug 2026

Multi-Agent Off-Policy Deep Reinforcement Learning for Smart Campus Coverage

Numerical evaluations reveal that the multi-agent DDPG approach substantially outperforms single-agent in dense scenarios, and the multi-agent demonstrates highly efficient computational convergence of dense scenarios with $400$ users.

Omar Rady, Mohamed Ayman, Ali Arafa et al. · 0 citations