5 papers
DDPG-Based Intelligent Handover For STAR-RIS-Assisted 6G Networks
Amr Mansour, Hanan Hussein, Marya Albert +2
Intelligent handover management is a key capability for future 6G networks. This paper investigates enhanced handover strategies in systems assisted by Simultaneously Transmitting…
Multi-Agent Off-Policy Deep Reinforcement Learning for Smart Campus Coverage
Omar Rady, Mohamed Ayman, Ali Arafa +1
Deep reinforcement learning (DRL) has recently gained a great attention due to its real-time adaptation and effectiveness in complex optimization problems. This paper investigates…
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…
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…
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…