157 citations · 217 across the 20 of their papers we have counts for
4 papers · 1 filter
RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning
Hao Zhou, Medhat Elsayed, Melike Erol-Kantarci
5G is regarded as a revolutionary mobile network, which is expected to satisfy a vast number of novel services, ranging from remote health care to smart cities. However, heterogene…
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…