Name
Title | ||
|---|---|---|
Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO |
Abstract | ||
|---|---|---|
This paper shows that deep neural network (DNN) can be used for efficient and distributed channel estimation, quantization, feedback, and downlink multiuser precoding for a frequency-division duplex massive multiple-input multiple-output system in which a base station (BS) serves multiple mobile users, but with rate-limited feedback from the users to the BS. A key observation is that the multiuser... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TWC.2021.3055202 | IEEE Transactions on Wireless Communications |
Keywords | DocType | Volume |
Precoding,Channel estimation,Downlink,Training,Quantization (signal),Estimation,Deep learning | Journal | 20 |
Issue | ISSN | Citations |
7 | 1536-1276 | 14 |
PageRank | References | Authors |
0.58 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Foad Sohrabi | 1 | 342 | 14.02 |
| Kareem M. Attiah | 2 | 14 | 1.59 |
| Wei Yu | 3 | 6173 | 537.26 |