DocumentCode :
3426345
Title :
Performance of Antenna Selection Algorithm Based Cost Function for MIMO System
Author :
Gao, Feng ; Wen, Liu ; Zhang, Bing ; Gao, Zehua ; Zhao, Ronghua ; Hsu, Dahsiung
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, two novel antenna selection algorithms based cost function for multiple-input multiple- output (MIMO) wireless system are introduced, which are named Increasing selection Based Cost Function (IncBCF) and Decreasing selection Based Cost Function (DecBCF), respectively. The proposed antenna selection algorithms are only considered at the receiver, which aim at maximizing channel capacity. Through the simulation results, it can be seen that the DecBCF algorithm obtains almost the same capacity as the optimal selection algorithm while retaining lower computational complexity. Further more, the results show that the proposed algorithms provide better performance than the existing suboptimal antenna selection algorithms.
Keywords :
MIMO communication; antenna theory; telecommunication network planning; wireless channels; MIMO system; antenna selection algorithm; channel capacity maximizing; decreasing selection based cost function; increasing selection based cost function; multiple-input multiple-output wireless system; Channel capacity; Computational complexity; Cost function; Error analysis; Iterative algorithms; MIMO; NIST; Radio frequency; Receiving antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.89
Filename :
4677998
Link To Document :
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