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
Link To Document :
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