Gaussian Approximation-Based Belief Propagation Receiver for Uplink SCMA Systems With Imperfect CSIR

For uplink sparse code multiple access (SCMA) systems, a channel estimation is required to support a multi-user detection in practice. Motivated by the conventional detection, called a Gaussian approximation-based belief propagation (GA-BP) with matched filtering, we propose an efficient receiver su...

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Veröffentlicht in:IEEE communications letters 2018-12, Vol.22 (12), p.2611-2614
Hauptverfasser: Lim, Seung-Chan, Park, Hyuncheol
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description For uplink sparse code multiple access (SCMA) systems, a channel estimation is required to support a multi-user detection in practice. Motivated by the conventional detection, called a Gaussian approximation-based belief propagation (GA-BP) with matched filtering, we propose an efficient receiver suitable for the uplink SCMA systems when exact channel state information is not available. By estimating matched filtered channels (rather than explicitly estimating actual channels), the proposed methods efficiently support the second-stage GA-BP detector with negligible increment of complexity. The simulation results show that the proposed receiver achieves the similar estimation and detection performance to the state-of-the-art receiver while the required complexity can be drastically reduced.
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subjects Approximation
belief propagation
Channel estimation
Channels
Complexity
Complexity theory
Detectors
Estimation
Filtration
Gaussian approximation
Guassian processes
Mathematical analysis
multi-user detection
Propagation
Receivers
Sparse code multiple access
Sparse matrices
State of the art
Uplink
title Gaussian Approximation-Based Belief Propagation Receiver for Uplink SCMA Systems With Imperfect CSIR
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