Name
Title | ||
|---|---|---|
Pilot Decontamination in Wideband Massive MIMO Systems by Exploiting Channel Sparsity. |
Abstract | ||
|---|---|---|
This paper strives to reduce pilot contamination, a bottleneck for massive multiple-input multiple-output (MIMO) systems, by exploiting channel sparsity. Considering that typical wideband massive MIMO channel is correlated in both space and frequency domains, we employ Karhunen-Loéve Transform (KLT) and Discrete Fourier Transform (DFT) to capture the hidden sparsity of the channel. KLT basis is op... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TWC.2016.2553021 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
Channel estimation,MIMO,Contamination,Training,Discrete Fourier transforms,Interference,OFDM | MIMO-OFDM,Wideband,Subspace topology,MIMO,Algorithm,Communication channel,Real-time computing,Speech recognition,Discrete Fourier transform,Precoding,Mathematics,Orthogonal frequency-division multiplexing | Journal |
Volume | Issue | ISSN |
15 | 7 | 1536-1276 |
Citations | PageRank | References |
19 | 0.76 | 20 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhilin Chen | 1 | 42 | 3.91 |
| Chenyang Yang | 2 | 2111 | 141.51 |