Name
Title | ||
|---|---|---|
DNN-Aided Codebook Based Beamforming for FDD Millimeter-Wave Massive MIMO Systems Under Multipath |
Abstract | ||
|---|---|---|
In this paper, we propose a deep neural network (DNN) aided codebook based beamforming scheme for frequency-division-duplex (FDD) millimeter-Wave (mmWave) massive multiple-input multiple-output (MIMO) systems under multipath. Different from the time-division-duplex (TDD) systems, for FDD systems the reciprocity between the down-link (DL) and up-link (UL) channel state information (CSI) does not ho... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TVT.2021.3125499 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Array signal processing,Discrete Fourier transforms,Channel estimation,Training,Massive MIMO,Direction-of-arrival estimation,Deep learning | Journal | 71 |
Issue | ISSN | Citations |
1 | 0018-9545 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Xu | 1 | 1 | 1.71 |
| Fu-Chun Zheng | 2 | 0 | 1.35 |
| Pan Cao | 3 | 0 | 0.34 |
| Hongguang Xu | 4 | 0 | 0.68 |
| Xu Zhu | 5 | 0 | 1.01 |
| Xiaogang Xiong | 6 | 9 | 5.96 |