Research Article
Low-Complexity Signal Detection Scheme Based on LLR for Uplink Massive MIMO Channel
@INPROCEEDINGS{10.1007/978-3-319-73564-1_4, author={Xifeng Chen and Liming Zheng and Gang Wang}, title={Low-Complexity Signal Detection Scheme Based on LLR for Uplink Massive MIMO Channel}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Massive MIMO Signal detection Dominant eigenvector search Antenna selection LLR}, doi={10.1007/978-3-319-73564-1_4} }- Xifeng Chen
Liming Zheng
Gang Wang
Year: 2018
Low-Complexity Signal Detection Scheme Based on LLR for Uplink Massive MIMO Channel
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_4
Abstract
This paper proposes low-complexity detection algorithms for Massive MIMO system: Multiple Dominant Eigenvector Detection Algorithm (MDEDA) and Antenna Selection Scheme (ASS). Both the schemes calculate the log likelihood ratios (LLRs). Based on the Single Dominant Eigenvector Detection (SDEDA), MDEDA searches transmitted signal candidates in multiple dominant eigenvector directions. For one thing, combined multiple eigenvectors, MDEDA attains better BER performance, for another, it greatly reduces the number of transmitted signal candidates. The ASS contains Single Antenna Selection Scheme (SASS) and Multiple Antenna Selection Scheme (MASS), focus on channel error modeling, the ASS assumes the signal of some antennas corresponding to the constellation points in order to minimize the channel error. SASS searches all transmit antennas, nevertheless, MASS chooses multiple antennas based on the eigenvalue. Finally, SASS gains better BER performance but more complexity. Finally, SASS provides an excellent trade-off between performance and complexity.