Title | ||
---|---|---|
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems |
Abstract | ||
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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 Zhang | 1 | 5 | 2.20 |
Muhammad Alrabeiah | 2 | 32 | 3.88 |
Ahmed Alkhateeb | 3 | 1708 | 67.18 |