Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
A. Hamid Aghvami
Also published under:A. H. Aghvami, Abdol-Hamid Aghvami, Abdol Hamid Aghvami, A. R. Aghvami
Affiliation
Department of Engineering, King's College London, Strand, London, U.K.
Topic
Deep Reinforcement Learning,Unmanned Aerial Vehicles,Base Station,Time Slot,Markov Decision Process,Deep Q-network,Edge Computing,Energy Consumption,Network Slicing,Optimization Problem,Packet Loss,Path Loss,Radio Resource Management,Resource Block,Reward Function,Small-scale Fading,Training Episodes,Transmission Rate,User Equipment,Virtual Network Functions,Wireless Networks,6G Networks,Actor Network,Additive Noise,Average Reward,Bandwidth Resources,CPU Resources,Cellular Networks,Cellular-connected Unmanned Aerial Vehicles,Central Server,Computational Resources,Critic Network,Eigenstates,Energy Efficiency,Exhaustive Method,Extract Semantic Information,Federated Learning,Heuristic Algorithm,Inter-cell Interference,Joint Optimization,Key Performance Indicators,Learning Algorithms,Long Short-term Memory,Mobile Edge Computing,Mobile Network,Multi-agent Reinforcement Learning,Navigation Task,Non-convex Problem,Path Planning,Physical Nodes,
Biography
Hamid Aghvami ([email protected]) has been a professor of telecommunications engineering since 1993. He is the founder of CTR at King's College London.