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Large-Scale MIMO Receiver Based on Finite-Alphabet Sparse Detection and Concave-Convex Optimization
- Source :
- IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), May 2020, Atlanta, United States. ⟨10.1109/SPAWC48557.2020.9154216⟩, SPAWC
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; In this paper, we propose a new receiver for detecting signals in large-scale Spatially Multiplexed (SP) Multiple-Input-Multiple-Output (MIMO) systems that may have fewer receive antennas than transmitted symbols (overloaded case). Relying on the idea of Finite-Alphabet Sparse (FAS) detection, we formulate the Maximum Likelihood (ML) criterion as a Difference-of-Convex (DC) programming problem that can be simply and efficiently solved using the Concave-Convex Procedure (CCP) technique. Since, the considered problem is non-convex, we theoretically discuss the behavior of the derived algorithm. Numerical experiments confirm the superiority of the proposed detection scheme, when compared with recent detection methods based on convex optimization, in a variety of large-scale MIMO transmission scenarios including the overloaded case.
- Subjects :
- Scheme (programming language)
Concave-convex optimiza- tion
Computer science
Finite-alphabet signals
MIMO
Detector
020302 automobile design & engineering
020206 networking & telecommunications
Scale (descriptive set theory)
02 engineering and technology
Multiplexing
0203 mechanical engineering
Convex optimization
0202 electrical engineering, electronic engineering, information engineering
Alphabet
Large-scale MIMO
Convex function
computer
Algorithm
Sparse representation
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
computer.programming_language
Computer Science::Information Theory
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), May 2020, Atlanta, United States. ⟨10.1109/SPAWC48557.2020.9154216⟩, SPAWC
- Accession number :
- edsair.doi.dedup.....e0a28ec38d4dc23d5cc5bab48b2d6e50