Name
Abstract | ||
|---|---|---|
In this paper we study on a massive MIMO relay system with linear precoding under the conditions of imperfect channel state information at the transmitter (CSIT) and peruser channel transmit correlation. In our system the source-relay channels are massive multiple-input multiple-output (MIMO) ones and the relay-destination channels are massive multiple-input single-output (MISO) ones. Large random matrix theory (RMT) is used to derive a deterministic equivalent of the signal-to-interference-plus-noise ratio (SINR) at each user in massive MIMO amplify-forward and decode-forward (M-MIMO-ADF) relaying with regularized zero-forcing (RZF) precoding, as the number of transmit antennas and users M, K -> infinity and M >> K. Simulation results show that the deterministic equivalent of the SINR at each user in M-MIMO-ADF relaying and the results of Theorem 1, Theorem 2 are accurate. |
Year | Venue | Field |
|---|---|---|
2018 | 2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | Transmitter,Mimo relay,Computer science,Signal-to-noise ratio,MIMO,Communication channel,Electronic engineering,Interference (wave propagation),Precoding,Random matrix |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Liu | 1 | 348 | 20.98 |
| Zhiguo Ding | 2 | 7031 | 399.47 |
| Shi Jia | 3 | 4 | 5.88 |
| Weiwei Yang | 4 | 228 | 50.42 |
| Ping Zhong | 5 | 40 | 11.34 |