DocumentCode :
2977211
Title :
Partial Channel-Knowledge for the Fast Least-Squares Solution-Seeker Algorithm
Author :
Rico, Ulises Pineda ; Alsusa, Emad ; Navarro, Enrique Stevens ; Rivera, J. Martin Luna
Author_Institution :
Fac. de Cienc., Univ. Autonoma de San Luis Potosi, San Luis Potosi, Mexico
fYear :
2010
fDate :
18-21 April 2010
Firstpage :
1
Lastpage :
5
Abstract :
Precoding is introduced as an excellent choice for complementing the MIMO systems. In addition, the non-linear techniques can achieve near optimal capacity at the expense of reasonable levels of complexity. Such techniques show that any known interference at the transmitter can be subtracted at the receiver without the penalty of degrading the radio resources. However, precoding is subject to the knowledge of the channel. On the other hand, recent works in MIMO systems have shown that channel-knowledge at the transmitter, in either full or partial forms can increase the channel capacity and performance considerably. Thus, we present a precoding algorithm able to deal efficiently in fully/partially-known channels with the advantage of keeping low levels of complexity.
Keywords :
MIMO communication; channel capacity; precoding; radio transmitters; MIMO systems; channel capacity; least squares solution seeker algorithm; nonlinear technique; partial channel knowledge; precoding algorithm; transmitter; Channel capacity; Communications Society; Degradation; Energy management; Interference; MIMO; Mobile communication; Power system management; Radio transmitters; Receivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2010 IEEE
Conference_Location :
Sydney, NSW
ISSN :
1525-3511
Print_ISBN :
978-1-4244-6396-1
Type :
conf
DOI :
10.1109/WCNC.2010.5506711
Filename :
5506711
Link To Document :
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