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Computer Science > Information Theory

arXiv:2011.06890 (cs)
[Submitted on 13 Nov 2020 (v1), last revised 16 Nov 2020 (this version, v2)]

Title:Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications

Authors:Ali Bereyhi, Saba Asaad, Bernhard Gäde, Ralf R. Müller, H. Vincent Poor
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Abstract:This paper characterizes the performance of massive multiuser spatial modulation MIMO systems, when a regularized form of the least-squares method is used for detection. For a generic distortion function and right unitarily invariant channel matrices, the per-antenna transmit rate and the asymptotic distortion achieved by this class of detectors is derived. Invoking an asymptotic characterization, we address two particular applications. Namely, we derive the error rate achieved by the computationally-intractable optimal Bayesian detector, and we propose an efficient approach to tune a LASSO-type detector. We further validate our derivations through various numerical experiments.
Comments: 36 pages, 8 figures
Subjects: Information Theory (cs.IT)
Cite as: arXiv:2011.06890 [cs.IT]
  (or arXiv:2011.06890v2 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2011.06890

Submission history

From: Ali Bereyhi [view email]
[v1] Fri, 13 Nov 2020 13:04:28 UTC (857 KB)
[v2] Mon, 16 Nov 2020 19:25:39 UTC (857 KB)
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Ali Bereyhi
Saba Asaad
Bernhard Gäde
Ralf R. Müller
H. Vincent Poor
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