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Publication Type : Conference Paper
Publisher : Institute of Electrical and Electronics Engineers Inc.
Source : 2019 6th International Conference on Signal Processing and Integrated Networks, SPIN 2019, Institute of Electrical and Electronics Engineers Inc., p.156-161 (2019)
ISBN : 9781728113791
Keywords : Antennas, Approximation algorithms, Bit error rate, Bit error rate (BER) performance, Communication environments, Compressed sensing, Efficient detection, Iterative methods, Massive systems, MIMO systems, Modulation, Separable approximation, Soft thresholding, Spatial modulations, Wireless communications
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2019
Abstract : In this paper, we propose a separable approximation method for detection in Massive MIMO systems employing spatial modulation. Spatial Modulation is becoming a viable technique for wireless communication which in turn introduces a kind of sporadic nature into the communication environment. The antenna element is also taken as additional information other than the traditional communication system in the SM. The sporadic nature enables us to use compressed sensing algorithms in this scenario for a massive system where an efficient detection algorithm is imperative. The Bit error rate performance and running time complexity are analyzed for the proposed technique considering all constellation formats and sporadicity. The results are encouraging and substantiates that this approach is a suitable candidate for further research. © 2019 IEEE.
Cite this Research Publication : K. Saravanamuthu and Dr. Ramanathan R., “Sparsity Exploiting Detection in Massive MIMO Systems via Separable Approximation Technique”, in 2019 6th International Conference on Signal Processing and Integrated Networks, SPIN 2019, 2019, pp. 156-161.