DocumentCode :
39535
Title :
Efficient Detectors for Joint Compressed Sensing Detection and Channel Decoding
Author :
Schepker, Henning F. ; Bockelmann, Carsten ; Dekorsy, Armin
Author_Institution :
Dept. of Commun. Eng., Univ. of Bremen, Bremen, Germany
Volume :
63
Issue :
6
fYear :
2015
fDate :
Jun-15
Firstpage :
2249
Lastpage :
2260
Abstract :
In slotted random access of many nodes, multi-user detection (MUD) can be applied to handle collisions. One novel PHY layer approach for jointly detecting activity and data in such a setting is Compressed Sensing based Multi-User Detection (CS-MUD). In this paper, we first summarize previous investigations on CS-MUD and subsequently propose two novel solutions for problems which have not yet been fully addressed: Firstly, we improve on previous results, by introducing a new approach which incorporates the channel decoder into the Compressed Sensing (CS) detector. Secondly, we analyze the resource efficiency of CS-MUD by adapting phase diagrams known from CS literature to the application of sporadic communication.
Keywords :
channel coding; compressed sensing; data communication; decoding; multiuser detection; wireless channels; CS detector; CS-MUD resource efficiency; PHY layer approach; channel decoder; channel decoding; compressed sensing detection; multiuser detection; phase diagrams; sporadic communication application; Complexity theory; Compressed sensing; Decoding; Detectors; Iterative decoding; Multiuser detection; Reliability; Multiuser detection; channel coding; machine-to-machine communications; physical layer;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2015.2424414
Filename :
7093150
Link To Document :
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