A List Detection Algorithm for Full Diversity Codebooks Based on the Combinatorial Approach

A combinatorial approach was recently proposed for designing multidimensional codebooks for fading channels. Albeit flexible and granting full signal space diversity, it relies on the optimal maximum likelihood detection, which is rather complex. In this letter, we propose an alternative low-complex...

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Veröffentlicht in:IEEE wireless communications letters Jg. 10; H. 4; S. 805 - 809
Hauptverfasser: Inacio, Juliana C., Uchoa-Filho, Bartolomeu F., Le Ruyet, Didier
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
IEEE comsoc
Schlagworte:
Algorithms
Combinatorial analysis
Complexity
Complexity theory
Detection algorithms
Diversity methods
Engineering Sciences
Error detection
Full diversity
list decoding
Maximum likelihood decoding
Random variables
Signal and Image processing
Signal to noise ratio
signal-space diversity
Upper bound
Full diversity
list decoding
signal-space diversity
ISSN:2162-2337, 2162-2345
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Zusammenfassung:A combinatorial approach was recently proposed for designing multidimensional codebooks for fading channels. Albeit flexible and granting full signal space diversity, it relies on the optimal maximum likelihood detection, which is rather complex. In this letter, we propose an alternative low-complexity, list-based detection algorithm for the codebooks under this approach. The detection complexity of the proposed algorithm is analyzed, and simulation results for both detection complexity and error performance are presented. It is concluded that the proposed detection algorithm not only preserves the diversity gain but also presents an excellent performance-complexity trade-off, thus adding value to the combinatorial approach.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2020.3044996