Name
Title | ||
|---|---|---|
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems |
Abstract | ||
|---|---|---|
Millimeter wave (mmWave) and terahertz MIMO systems rely on pre-defined beamforming codebooks for both initial access and data transmission. These pre-defined codebooks, however, are commonly not optimized for specific environments, user distributions, and/or possible hardware impairments. This leads to large codebook sizes with high beam training overhead which makes it hard for these systems to ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCOMM.2021.3126856 | IEEE Transactions on Communications |
Keywords | DocType | Volume |
Hardware,Array signal processing,Geometry,Base stations,Reinforcement learning,Radio frequency,Phase shifters | Journal | 70 |
Issue | ISSN | Citations |
2 | 0090-6778 | 2 |
PageRank | References | Authors |
0.40 | 16 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Zhang | 1 | 2 | 0.40 |
| Muhammad Alrabeiah | 2 | 32 | 3.88 |
| Ahmed Alkhateeb | 3 | 1708 | 67.18 |