By Topic

Extended LLL algorithm for efficient signal precoding in multiuser communication systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Roger, S. ; Inst. of Telecommun. & Multimedia Applic. (iTEAM), Univ. Politec. de Valencia, Valencia, Spain ; Gonzalez, A. ; Almenar, V. ; Vidal, A.M.

The lattice reduction method proposed by Lenstra, Lenstra and Lovasz (LLL algorithm) is extensively employed to perform precoding in multiuser downlink communications and also to improve suboptimal detectors in MIMO point-to-point systems. Existing implementations of this algorithm provide as an output a matrix that contains the transformations to be done over the initial channel matrix in order to get a transformed matrix with less correlated columns. However, there are some specific applications where the inverse of this transformation matrix is also required, and this must be calculated after the LLL algorithm. In this work we propose an efficient way to calculate the inverse of the transformation matrix inside the LLL algorithm to avoid the necessity of a matrix inversion, reducing in this way the computational cost.

Published in:

Communications Letters, IEEE  (Volume:14 ,  Issue: 3 )