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.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (No. 61371100, No. 61501139, No. 61401118).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wu, Y., Kang, W., Li, B., Liu, G. (2018). Benefits of Compressed Sensing Multi-user Detection for Spread Spectrum Code Design. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_69
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DOI: https://doi.org/10.1007/978-3-319-73564-1_69
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