Research Article
Benefits of Compressed Sensing Multi-user Detection for Spread Spectrum Code Design
@INPROCEEDINGS{10.1007/978-3-319-73564-1_69, author={Yan Wu and Wenjing Kang and Bo Li and Gongliang Liu}, title={Benefits of Compressed Sensing Multi-user Detection for Spread Spectrum Code Design}, 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={Compressed sensing Multi-user detection Spread spectrum code design}, doi={10.1007/978-3-319-73564-1_69} }- Yan Wu
Wenjing Kang
Bo Li
Gongliang Liu
Year: 2018
Benefits of Compressed Sensing Multi-user Detection for Spread Spectrum Code Design
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_69
Abstract
In sporadic machine-to-machine (M2M) communication, for the Code Division Multiple Access (CDMA) system with random access, applying compressed sensing (CS) algorithms to communication processes is a solution of multi-user detection (MUD). Many papers have shown that compressed sensing multi-user detection (CS-MUD) brings the benefits of jointly detecting activity and data. This paper focuses on the benefits of CS-MUD to the design of spread spectrum code in CDMA systems. Simulations show that CS-MUD brings two advantages in the spread spectrum code design: (1) There exist code sets with short code length can accommodate more users. (2) Code sets design is not limited to the design requirements of pseudo-random sequences, and the CS measurement matrix can be used as the code set. That is, CS-MUD provides a new idea for design and selection of spread spectrum code sets.
