Activity Detection in Distributed MIMO: Distributed AMP via Likelihood Ratio Fusion

We develop a new algorithm for activity detection for grant-free multiple access in distributed multiple-input multiple-output (MIMO). The algorithm is a distributed version of the approximate message passing (AMP) based on a soft combination of likelihood ratios computed independently at multiple a...

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Veröffentlicht in:IEEE wireless communications letters Jg. 11; H. 10; S. 2200 - 2204
Hauptverfasser: Bai, Jianan, Larsson, Erik G.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.10.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
ISSN:2162-2337, 2162-2345, 2162-2345
Online-Zugang:Volltext
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Zusammenfassung:We develop a new algorithm for activity detection for grant-free multiple access in distributed multiple-input multiple-output (MIMO). The algorithm is a distributed version of the approximate message passing (AMP) based on a soft combination of likelihood ratios computed independently at multiple access points. The underpinning theoretical basis of our algorithm is a new observation that we made about the state evolution in the AMP. Specifically, with a minimum mean-square error denoiser, the state maintains a block-diagonal structure whenever the covariance matrices of the signals have such a structure. We show by numerical examples that the algorithm outperforms competing schemes from the literature.
Bibliographie:ObjectType-Article-1
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ISSN:2162-2337
2162-2345
2162-2345
DOI:10.1109/LWC.2022.3197053