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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Bibliographic Details
Published in:IEEE wireless communications letters Vol. 10; no. 4; pp. 805 - 809
Main Authors: Inacio, Juliana C., Uchoa-Filho, Bartolomeu F., Le Ruyet, Didier
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
IEEE comsoc
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2020.3044996