DocumentCode
3321850
Title
Dual-lattice-aided MIMO detection for slow fading channels
Author
Monteiro, Francisco A. ; Wassell, Ian J.
Author_Institution
Comput. Lab., Univ. of Cambridge, Cambridge, UK
fYear
2011
fDate
14-17 Dec. 2011
Firstpage
502
Lastpage
507
Abstract
This paper presents a lattice detection strategy for spatial multiplexing (SM) which takes advantage of a pre-processing stage based on the geometric relations between the points in the primal lattice and the ones in the dual lattice. The first part of the paper clarifies this geometric relationship that will be exploited later on in the design of a pre-processing stage for the proposed receiver. This pre-processing finds a set of successive minima in the dual lattice, and is only required at each channel update. The subsequent symbol detection algorithm exclusively involves a linear transformation (the pseudo-inverse) in order to generate a list of candidate solutions for the underlying closest vector problem (CVP). The receiver outperforms ordered successive interference cancellation and, in the low signal-to-noise ratio (SNR) regime, also outperforms lattice-reduction-aided receivers at the expense of a "true" sphere-decoder that runs only once per channel update, and not for each received vector.
Keywords
MIMO communication; decoding; fading channels; space division multiplexing; channel update; closest vector problem; dual-lattice-aided MIMO detection; geometric relations; lattice detection strategy; lattice-reduction-aided receivers; linear transformation; low signal-to-noise ratio regime; ordered successive interference cancellation; preprocessing stage; primal lattice; pseudo-inverse; slow fading channels; spatial multiplexing; subsequent symbol detection algorithm; true sphere-decoder; Complexity theory; Decoding; Lattices; MIMO; Receiving antennas; Vectors; MIMO detection; closest vector problem (CVP); dual lattice; hyperplanes; spatial multiplexing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
Conference_Location
Bilbao
Print_ISBN
978-1-4673-0752-9
Electronic_ISBN
978-1-4673-0751-2
Type
conf
DOI
10.1109/ISSPIT.2011.6151613
Filename
6151613
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