3 papers
eess.SP2026
Optimal Base Station Placement for Beyond 5G Networks with Non-Convex Topology
Mohamed Shalma, Amr Mansour, Ahmed El-Mahdy
This paper investigates the optimal placement of a millimeter-wave (mmWave) base station (BS) within a realistic U-shaped environment with non-convex topology. The problem is chall…
eess.SP2026
On the Sensitivity of Active RIS Systems to CSI Errors: Joint Optimization and Performance Trade-off
Mohamed Shalma, Engy Maher, Ahmed El-Mahdy
In this paper, the problem of maximizing the sum-rate is addressed for a multi-user uplink scenario that is assisted by an active reconfigurable intelligent surface (RIS). The maxi…
eess.SP2025
Hybrid Deep Reinforcement Learning for Joint Resource Allocation in Multi-Active RIS-Aided Uplink Communications
Mohamed Shalma, Engy Aly Maher, Ahmed El-Mahdy
Active Reconfigurable Intelligent Surfaces (RIS) are a promising technology for 6G wireless networks. This paper investigates a novel hybrid deep reinforcement learning (DRL) frame…