IEEE
Mountain Snow Image

2006 IEEE International Symposium
on Information Theory

Sunday, July 9 -Friday, July 14, 2006
The Westin Seattle • Seattle, Washington

Paper Detail

Session:1.1.1 - Signal Processing in MIMO Systems
Session Time:Monday, July 10, 09:40 - 11:00
Paper Time:Monday, July 10, 09:40 - 10:00
Title: Approximate Lattice Decoding: Primal Versus Dual Basis Reduction
Authors: Cong Ling; Kings College London 
Abstract: Lattice decoding enables significant complexity reduction in multi-input multi-output (MIMO) communications. Unlike most work on the lattice-reduction-aided decoding technique, this paper is aimed at a comparative study of primal versus dual basis reduction for approximate lattice decoding. We derive the respective proximity factors for the two methods, which measure the performance gap to maximum-likelihood (ML) decoding. It is found that in many cases reducing the dual can result in smaller proximity factors than reducing the primal basis.



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