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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Vydáno v:IEEE wireless communications letters Ročník 11; číslo 10; s. 2200 - 2204
Hlavní autoři: Bai, Jianan, Larsson, Erik G.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.10.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
activity detection
Algorithms
Approximation algorithms
Channel estimation
Covariance matrix
Distributed AMP
distributed MIMO
Likelihood ratio
Message passing
MIMO communication
Multiple access
Receiving antennas
Resource management
Sparse matrices
activity detection
Message passing
Channel estimation
Receiving antennas
Approximation algorithms
distributed MIMO
Sparse matrices
Resource management
Distributed AMP
MIMO communication
ISSN:2162-2337, 2162-2345, 2162-2345
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Shrnutí: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.
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ISSN:2162-2337
2162-2345
2162-2345
DOI:10.1109/LWC.2022.3197053