Title
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems
Abstract
Deploying large scale antenna arrays is a key characteristic of current and future wireless communication systems. However, due to some non-ideal practical conditions, such as the unknown array geometry or possible hardware impairments, the accurate channel state information becomes hard to acquire. This impedes the design of beamforming/combining vectors that are crucial to fully exploit the pote...
Year
DOI
Venue
2020
10.1109/IEEECONF51394.2020.9443430
2020 54th Asilomar Conference on Signals, Systems, and Computers
Keywords
DocType
ISBN
Wireless communication,Geometry,Computers,Simulation,Phase shifters,Reinforcement learning,Massive MIMO
Conference
978-0-7381-3126-9
Citations 
PageRank 
References 
3
0.39
0
Authors
3
Name
Order
Citations
PageRank
Yu Zhang152.20
Muhammad Alrabeiah2323.88
Ahmed Alkhateeb3170867.18