Paper Info
Title
Extended LLL algorithm for efficient signal precoding in multiuser communication systems
Abstract
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.
Year
DOI
Venue
2010
10.1109/LCOMM.2010.03.092235
Communications Letters, IEEE
Keywords
Field
DocType
multiuser communication system,correlated column,mimo point-to-point system,efficient signal,specific application,extended lll algorithm,computational cost,lll algorithm,lattice reduction method,matrix inversion,initial channel matrix,transformation matrix,multiuser downlink communication,mimo,matrix decomposition,downlink,baseband,lattice reduction,algorithm design and analysis,detectors,base stations,quadrature amplitude modulation,lattices,precoding,point to point,communication system
Algorithm design,Matrix (mathematics),Computer science,Matrix decomposition,Multiuser detection,MIMO,Algorithm,Transformation matrix,Precoding,Lattice reduction
Journal
Volume
Issue
ISSN
14
3
1089-7798
Citations 
PageRank 
References 
2
0.37
5
Authors
4
Name
Order
Citations
PageRank
Sandra Roger1496.90
Alberto González222030.27
Vicenc Almenar311918.19
Antonio M. Vidal414334.64