Mohammad Reza Nakhai

Also published under:M. R. Nakhai, M. Reza Nakhai

Affiliation

Department of Engineering, King's College, London

Topic

Base Station,Caching Scheme,Content Caching,Content Popularity,Edge Caching,Collaborative Edge,Content Request,Deep Q-network,Deep Reinforcement Learning,Edge Server,Mobile Edge Computing,Cache Hit,Neural Network,Optimization Problem,Time Slot,User Requests,Average Cost,Beta Distribution,Cache Size,Channel Gain,Collaborative System,Content Library,Curse Of Dimensionality,Deep Q-learning,Dynamic Environment,Edge Nodes,End-users,Large-scale Scenarios,Migration Cost,Multiple Servers,Random Variables,Remote Cloud,Service Quality,Simulation Results,Transition Probabilities,Zipf Distribution,Actor Network,Adaptive Learning,Additive Noise,Assortative Mating,Bandit Problem,Baseline Schemes,Battery Energy,Battery Level,Benchmark,Broadcast Information,Cache Misses,Cache Replacement,Candidate Parents,Capacity Of Nodes,

Biography

Mohammad Reza Nakhai received his Ph.D. degree in electronic engineering from King's College, University of London in 2000. He worked as a postdoctoral research fellow in the Centre for Communication Systems Research, University of Surrey. Since 2001 he has been an academic member of staff in the Centre for Telecommunications Research, King's College London. His current research interests include cognitive radio, cooperative communications, optimization, and communications theory.