Name
Title | ||
|---|---|---|
Deep Learning Based Channel Covariance Matrix Estimation With User Location and Scene Images |
Abstract | ||
|---|---|---|
Channel covariance matrix (CCM) is one critical parameter for designing the communications systems. In this paper, a novel framework of the deep learning (DL) based CCM estimation is proposed that exploits the perception of the transmission environment without any channel sample or the pilot signals. Specifically, as CCM is affected by the user’s movement, we design a deep neural network (DNN) to ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCOMM.2021.3107947 | IEEE Transactions on Communications |
Keywords | DocType | Volume |
Channel estimation,Estimation,Covariance matrices,Training,Three-dimensional displays,Downlink,Deep learning | Journal | 69 |
Issue | ISSN | Citations |
12 | 0090-6778 | 1 |
PageRank | References | Authors |
0.35 | 24 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weihua Xu | 1 | 1 | 0.35 |
| Feifei Gao | 2 | 3093 | 212.03 |
| Jianhua Zhang | 3 | 716 | 91.23 |
| Xiaoming Tao | 4 | 321 | 53.93 |
| Ahmed Alkhateeb | 5 | 1708 | 67.18 |