DocumentCode :
2465041
Title :
A near-optimal antenna selection in MIMO system by using maximum total eigenmode gains
Author :
Shu, Tao ; Niu, Zhisheng
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
1
fYear :
2003
fDate :
1-5 Dec. 2003
Firstpage :
297
Abstract :
In this paper, we propose the computation-effective and capacity-near-optimal maximum total Eigenmode gains (MTEG) principle for the transmit antenna selection in the MIMO downlink of a cellular communication system. An equivalent channel matrix (ECM) is proposed to characterize the quasi-static MIMO channel with Rayleigh fading, the co-channel interference, and the additive white Gaussian noise. In accordance with MTEG principle, we prove the transmit antennas should be selected according to the descending order of the norms of their corresponding column vectors in ECM. By numerical examples, we verify the capacity efficiency of the proposed scheme. It is shown that although the least computation complexity is required by MTEG scheme, it provides larger capacity than other existing simplified near-optimal antenna selection scheme and is more close to the optimal exhaustive search in capacity achievements.
Keywords :
AWGN channels; MIMO systems; Rayleigh channels; antenna arrays; cellular radio; cochannel interference; eigenvalues and eigenfunctions; matrix algebra; transmitting antennas; MIMO system; Rayleigh fading; additive white Gaussian noise; cellular communication system; cochannel interference; computation complexity; equivalent channel matrix; maximum total Eigenmode gains; quasi-static MIMO channel; transmit antenna selection; AWGN; Additive white noise; Downlink; Electrochemical machining; Interchannel interference; MIMO; Receiving antennas; Transmitters; Transmitting antennas; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2003. GLOBECOM '03. IEEE
Print_ISBN :
0-7803-7974-8
Type :
conf
DOI :
10.1109/GLOCOM.2003.1258249
Filename :
1258249
Link To Document :
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