Title : 
Low Complexity Transmit Antenna Selection for MIMO Systems
         
        
            Author : 
Fan, Jiancun ; Yin, Qinye ; Wang, Wenjie
         
        
            Author_Institution : 
Minist. of Educ. (MOE) Key Lab. for Intell. Networks & Network Security, Xi´´an Jiaotong Univ., Xi´´an, China
         
        
        
        
        
        
            Abstract : 
In multiple-input multiple-output (MIMO) systems, transmit antenna selection is a very promising technique for reducing implementation cost and computational complexity. In this paper, we propose two novel fast near-optimal antenna selection algorithms based on channel capacity maximization, whose core idea is to use an effective iterative process to reduce computational complexity and retain near-optimal performance. Compared with the conventional algorithm, the proposed algorithms have lower computational complexity and achieve almost the same capacity and bit-error rate (BER) performance as the optimal one. In particular, the BER performance gain of the proposed algorithms is much larger than the conventional algorithms in correlated fading channels. Finally, computer simulations are presented to validate and demonstrate performance of our algorithms.
         
        
            Keywords : 
MIMO communication; channel capacity; communication complexity; error statistics; iterative methods; transmitting antennas; MIMO system; bit-error rate performance; channel capacity maximization; computational complexity; computer simulation; correlated fading channel; iterative process; low complexity transmit antenna selection; multiple-input multiple-output system; near-optimal antenna selection algorithm; near-optimal performance; Computational complexity; Fading; Receiving antennas; Transmitting antennas;
         
        
        
        
            Conference_Titel : 
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
         
        
            Conference_Location : 
Houston, TX, USA
         
        
        
            Print_ISBN : 
978-1-4244-9266-4
         
        
            Electronic_ISBN : 
1930-529X
         
        
        
            DOI : 
10.1109/GLOCOM.2011.6134386