Paper Info
Title
Low-Complexity Signal Detection Scheme Based on LLR for Uplink Massive MIMO Channel
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.
Year
DOI
Venue
2017
10.1007/978-3-319-73564-1_4
international conference on machine learning
Field
DocType
Citations 
Pattern recognition,Detection theory,Computer science,Mimo channel,Sass,MIMO,Communication channel,Algorithm,Constellation,Artificial intelligence,Eigenvalues and eigenvectors,Telecommunications link
Conference
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Xifeng Chen100.34
Liming Zheng223.07
Gang Wang334497.03