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Yasser Al-Eryani
Also published under:Yasser F. Al-Eryani
Affiliation
Dell, Ottawa, Canada
Topic
Actor Network,Deep Reinforcement Learning,Optimization Problem,Critic Network,Deep Reinforcement Learning Algorithm,Wireless Networks,Beamforming Vector,Bottom Of Page,Cell-free Network,Channel Estimation,Cluster Configuration,Deep Learning,Deep Neural Network,Deep Q-learning,Deep Reinforcement Learning Model,Instantaneous Channel State Information,Multiple-input Multiple-output,Non-orthogonal Multiple Access,Policy Gradient,Shadow Fading,Successive Interference Cancellation,User Equipment,Access Points,Additive Noise,Autocorrelation Function,Average Reward,Base Station,Beamforming,Beamforming Design,Beamforming Matrix,Beamforming Method,Beamforming Scheme,Beamforming Techniques,Cell-free System,Cell-free mMIMO,Central Unit,Channel Estimation Error,Channel Matrix,Channel Prediction,Classical Scheme,Cloud Radio Access Network,Combinatorial Optimization Problem,Combinatorial Problem,Complex Signal Processing,Computational Complexity,Continuous Action Space,Convergence Rate,Convex Optimization,Convex Optimization Problem,Coverage Area,
Biography
Yasser Al-Eryani was born in Sana’a, Yemen. He received the B.Sc. degree in electrical engineering from IBB University, Ibb, Yemen, in 2012, the M.Sc. degree in telecommunications engineering from King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, in 2016, and the Ph.D. degree from the Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada. He is currently working as a 5G Baseband System Developer with Ericsson Canada. He has several issued and submitted patents, transactions and conference papers in cooperative communications, cognitive radio, optical wireless communication, and energy harvesting. He has participated and presented in many international conferences in related research topics. His research interests are design and analysis of wireless communication networks.