13 citations · 31 across the 6 of their papers we have counts for
3 papers · 1 filter
Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey
Abdulmalik Alwarafy, Mohamed Abdallah, Bekir Sait Ciftler +2
Next generation wireless networks are expected to be extremely complex due to their massive heterogeneity in terms of the types of network architectures they incorporate, the types…
Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
Muhammad Shehab, Bekir S. Ciftler, Tamer Khattab +2
In this work, we examine an intelligent reflecting surface (IRS) assisted downlink non-orthogonal multiple access (NOMA) scenario with the aim of maximizing the sum rate of users.…
DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks
Bekir Sait Ciftler, Abdulmalik Alwarafy, Mohamed Abdallah +1
In this paper, a Deep Q-Network (DQN) based multi-agent multi-user power allocation algorithm is proposed for hybrid networks composed of radio frequency (RF) and visible light com…