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Energy-Efficient Spatial Modulation in Massive MIMO Systems by Means of Compressive Sensing

Garcia-Rodriguez, A; Masouros, C; (2015) Energy-Efficient Spatial Modulation in Massive MIMO Systems by Means of Compressive Sensing. In: Proceedings of the 2015 IEEE International Conference on Communications (ICC). (pp. pp. 4541-4546). IEEE: London, United Kingdom. Green open access

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Abstract

In this paper we propose a spatial modulation (SM) technique with improved energy efficiency (EE) for the multiple access channel (MAC) with a large number of antennas. The proposed scheme builds upon compressive sensing (CS) and accounts for the sparsity and structure of the signals transmitted via SM in multi-user scenarios to further improve the performance and reduce the complexity of linear detectors. In particular, the proposed technique incorporates additional prior knowledge to conventional CS-based approaches by exploiting the existence of a maximum number of active antennas per user when SM transmission is used in the MAC. The results presented in this paper show that the proposed algorithm offers both a) reduced complexity and b) improved performance compared to conventional CS and linear detection strategies and also allow us to determine the conditions under which the use of SM systems in the MAC is beneficial from an EE point of view.

Type: Proceedings paper
Title: Energy-Efficient Spatial Modulation in Massive MIMO Systems by Means of Compressive Sensing
Event: IEEE International Conference on Communications (ICC)
Location: London, ENGLAND
Dates: 08 June 2015 - 12 June 2015
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICC.2015.7249038
Publisher version: http://doi.org/10.1109/ICC.2015.7249038
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Transmitting antennas, MIMO, Signal processing algorithms, Modulation, Detectors, Complexity theory
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10051079
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