Title | ||
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Improving Greedy Compressive Sensing Based Multi-User Detection with Iterative Feedback |
Abstract | ||
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Machine-to-Machine communication requires new physical layer concepts to meet future requirements. In previous works it has already been shown that Compressive Sensing (CS) detectors are capable of jointly detecting both activity and data in multi-user detection (MUD). For this detection we propose a new generalized Group Orthogonal Matching Pursuit algorithm that allows the use of additional side information regarding the sparsity structure. As a specific example, we exploit the information of a sparsity-aware Viterbi decoder in an iterative feedback loop to improve the activity detection. Here, a significant improvement of the activity detection is already achieved by executing only a single additional detection and decoding step. |
Year | DOI | Venue |
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2013 | 10.1109/VTCFall.2013.6692232 | Vehicular Technology Conference |
Keywords | Field | DocType |
Viterbi decoding,compressed sensing,iterative decoding,mobile communication,multiuser detection,CS detectors,MUD,activity detection,compressive sensing detectors,generalized group orthogonal matching pursuit algorithm,greedy compressive sensing,iterative feedback loop,machine-to-machine communication,multiuser detection,physical layer concept,sparsity structure,sparsity-aware Viterbi decoder | Sequential decoding,Soft output Viterbi algorithm,Computer science,Multiuser detection,Feedback loop,Electronic engineering,Viterbi decoder,Decoding methods,Iterative Viterbi decoding,Compressed sensing | Conference |
ISSN | Citations | PageRank |
1090-3038 | 8 | 0.61 |
References | Authors | |
6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Henning F. Schepker | 1 | 87 | 7.03 |
Carsten Bockelmann | 2 | 279 | 24.67 |
Armin Dekorsy | 3 | 513 | 57.91 |