DocumentCode :
2491530
Title :
Wiener filter-based fixed-complexity vector precoding for the MIMO downlink channel
Author :
Barrenechea, M. ; Mendicute, M. ; Ser, J. Del ; Thompson, J.S.
Author_Institution :
Dept. of Electron. & Inf., Mondragon Unibertsitatea, Arrasate, Spain
fYear :
2009
fDate :
21-24 June 2009
Firstpage :
216
Lastpage :
220
Abstract :
A fixed-throughput Wiener filter vector precoding (VP) approach specially suitable for hardware implementation in field programable gate array (FPGA) devices is introduced in this paper. The lattice decoding algorithm, which is based on the sphere decoder (SD) lattice search, performs in its first stage a reordering of the matrix to be used for the tree search. Afterwards, the search tree is configured so as to yield an appropriate BER performance, and a fixed-complexity search is carried out. Simulation results show that the BER performance of the proposed algorithm is very close to the ML solution whereas its complexity is significantly smaller than that of the SD algorithm or the exhaustive search method.
Keywords :
MIMO communication; Wiener filters; error statistics; field programmable gate arrays; precoding; BER performance; FPGA; MIMO downlink channel; Wiener filter; field programable gate array; fixed complexity vector precoding; lattice decoding; sphere decoder lattice search; Base stations; Bit error rate; Decoding; Downlink; Field programmable gate arrays; Hardware; Lattices; MIMO; Transmitters; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2009. SPAWC '09. IEEE 10th Workshop on
Conference_Location :
Perugia
Print_ISBN :
978-1-4244-3695-8
Electronic_ISBN :
978-1-4244-3696-5
Type :
conf
DOI :
10.1109/SPAWC.2009.5161778
Filename :
5161778
Link To Document :
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