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

Ali Bereyhi; Saba Asaad; Bernhard Gade; Ralf R. Muller; H. Vincent Poor

doi:10.1109/TWC.2021.3110839

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

Ali Bereyhi, Saba Asaad, Bernhard Gade, Ralf R. Muller, H. Vincent Poor

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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 are 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 LASSO-type detectors. We further validate our derivations through various numerical experiments.

Original language	English (US)
Pages (from-to)	2291-2304
Number of pages	14
Journal	IEEE Transactions on Wireless Communications
Volume	21
Issue number	4
DOIs	https://doi.org/10.1109/TWC.2021.3110839
State	Published - Apr 1 2022
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Keywords

Multiple-active spatial modulation
box-LASSO
massive MIMO
maximum-a-posteriori-probability detection
regularized least-squares

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10.1109/TWC.2021.3110839

Cite this

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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 are 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 LASSO-type detectors. We further validate our derivations through various numerical experiments.",

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AU - Asaad, Saba

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AB - 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 are 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 LASSO-type detectors. We further validate our derivations through various numerical experiments.

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

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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