DocumentCode :
3266294
Title :
Low complexity lattice reduction aided precoding and detection for multiuser MIMO systems
Author :
Ali Khan, Md Hashem ; Rajib, Md R. U. D. ; Moon Ho Lee
Author_Institution :
Div. of Electron. & Inf. Eng., Chonbuk Nat. Univ., Jeonju, South Korea
fYear :
2013
fDate :
2-5 July 2013
Firstpage :
310
Lastpage :
315
Abstract :
Lenstra-Lenstra-Lovasz (LLL) algorithm has been extensively used to obtain better basis of the channel matrix. Another technique named complex lattice reduction (CLR) that aims to enforce orthogonality between the columns of the channel matrix and reduce its size as well. The orthogonalization and size reduction work are left for the CLR algorithm so that a modification of the channel matrix is carried out, resulting in a better precoding and detection performances. Our simulation results show that the BER performance is better than conventional and reduces the complexity compared with the LLL algorithm based schemes.
Keywords :
MIMO communication; communication complexity; error statistics; multiuser detection; precoding; BER performance; Lenstra-Lenstra-Lovasz algorithm; channel matrix; detection performance; low complexity lattice reduction; multiple input multiple output system; multiuser MIMO system; precoding; Complexity theory; Detectors; Lattices; MIMO; Matrix decomposition; Signal processing algorithms; Vectors; Block Diagonalization (BD); Lattice reduction; Multiuser MIMO; low complexity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2013 Fifth International Conference on
Conference_Location :
Da Nang
ISSN :
2165-8528
Type :
conf
DOI :
10.1109/ICUFN.2013.6614832
Filename :
6614832
Link To Document :
بازگشت