Low-Complexity Generalized Spatial Modulation Schemes Using Codebook-Assisted MIMO Detectors

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Institute of Electrical and Electronics Engineers Inc.

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Abstract

Generalized spatial modulation (GSM) is an attractive transmission technique for multiple-input multiple-output (MIMO) systems because of its spectral efficiency and energy efficiency. The maximum likelihood (ML) detector provides the optimal performance for GSM signal detection, but also leads to a high level of detection complexity. In this paper, both hard-decision and soft-decision detectors, which are based on a low-complexity codebook-assisted tree-search algorithm, are investigated. In addition, outer low-density parity-check (LDPC) codes are designed such that the concatenated schemes are able to provide error performances which are very close to those of the schemes using conventional detectors, but with a much lower level of computational complexity.

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Information theory, Energy consumption, MIMO systems, Artificial satellites in telecommunication, Trees--Mathematical models, Detectors, Modulation theory

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©2018 IEEE

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