DocumentCode :
3311864
Title :
Transmit Antenna Selection for the Distributed MIMO Systems
Author :
Shang, Peng ; Zhu, Guangxi ; Tan, Li ; Su, Gang ; Li, Tan
Author_Institution :
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
Volume :
2
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
449
Lastpage :
453
Abstract :
In this paper, we propose a novel two-step antenna selection algorithm for downlink Distributed Multiple Input Multiple Output (D-MIMO) systems. First, the distributed antenna cluster is selected based on maximum path fading, and then the antennas in the selected antenna clusters are chosen utilizing the permutation and QR decomposition (IC-PQRD) method. The analysis and simulation results show that our algorithm could greatly enhance the average channel capacity of the downlink distributed antenna systems. Furthermore, in the edge region of a cell, both the system capacity and symbol error probability (SER) are significantly improved due to the antenna cluster selection process. For in-cluster antenna selection in the second step, the IC-PQRD algorithm could largely improve the system outage capacity with low computational complexity and low SER.
Keywords :
MIMO communication; antenna arrays; computational complexity; error statistics; pattern clustering; QR decomposition; average channel capacity; computational complexity; distributed MIMO systems; distributed multiple input multiple output systems; maximum path fading; selected antenna clusters; symbol error probability; system capacity; transmit antenna selection; Algorithm design and analysis; Analytical models; Capacity planning; Channel capacity; Clustering algorithms; Downlink; Error probability; Fading; MIMO; Transmitting antennas; Distributed Multiple Input Multiple Output (D-MIMO) System; QR decomposition; antenna selection; channel capacity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
Type :
conf
DOI :
10.1109/NSWCTC.2009.79
Filename :
4908502
Link To Document :
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