157 citations · 207 across the 3 of their papers we have counts for
6 papers
Machine Learning-based Inter-Beam Inter-Cell Interference Mitigation in mmWave
Medhat Elsayed, Kevin Shimotakahara, Melike Erol-Kantarci
In this paper, we address inter-beam inter-cell interference mitigation in 5G networks that employ millimeter-wave (mmWave), beamforming and non-orthogonal multiple access (NOMA) t…
Radio Resource and Beam Management in 5G mmWave Using Clustering and Deep Reinforcement Learning
Medhat Elsayed, Melike Erol-Kantarci
To optimally cover users in millimeter-Wave (mmWave) networks, clustering is needed to identify the number and direction of beams. The mobility of users motivates the need for an o…
AI-enabled Future Wireless Networks: Challenges, Opportunities and Open Issues
Medhat Elsayed, Melike Erol-Kantarci
A plethora of demanding services and use cases mandate a revolutionary shift in the management of future wireless network resources. Indeed, when tight quality of service demands o…
Transfer Reinforcement Learning for 5G-NR mm-Wave Networks
Medhat Elsayed, Melike Erol-Kantarci, Halim Yanikomeroglu
In this paper, we aim at interference mitigation in 5G millimeter-Wave (mm-Wave) communications by employing beamforming and Non-Orthogonal Multiple Access (NOMA) techniques with t…
Distributed interference management using Q-Learning in Cognitive Femtocell networks: New USRP-based Implementation
Medhat H. M. Elsayed, Amr Mohamed
Femtocell networks have become a promising solution in supporting high data rates for 5G systems, where cell densification is performed using the small femtocells. However, femtoce…
Encoding Distortion Modeling For DWT-Based Wireless EEG Monitoring System
Alaa Awad, Medhat H. M. Elsayed, Amr Mohamed
Recent advances in wireless body area sensor net- works leverage wireless and mobile communication technologies to facilitate development of innovative medical applications that ca…