Title : 
An adaptive modulation algorithm for performance improvement of MIMO ML systems
         
        
            Author : 
Ham, Jaesang ; Kim, Myoung-Seok ; Lee, Chungyong ; Hwang, Taewon
         
        
            Author_Institution : 
Dept. of Electr. Eng., Yonsei Univ., Seoul
         
        
        
        
        
            fDate : 
11/1/2008 12:00:00 AM
         
        
        
        
            Abstract : 
In this letter, we propose a simplified adaptive modulation algorithm for a multiple input multiple output (MIMO) system with a maximum likelihood (ML) receiver to minimize BER under a fixed data rate. The proposed algorithm has the advantages of good system performance and low computational complexity, when compared to previous algorithms.
         
        
            Keywords : 
MIMO communication; adaptive modulation; computational complexity; error statistics; maximum likelihood estimation; radio receivers; BER; MIMO ML systems; adaptive modulation; computational complexity; maximum likelihood receiver; multiple input multiple output system; AWGN; Bit error rate; Detectors; MIMO; Maximum likelihood detection; Measurement; Power system modeling; Receiving antennas; System performance; Transmitting antennas; Adaptive modulation, maximum likelihood (ML) receiver, MIMO;
         
        
        
            Journal_Title : 
Communications Letters, IEEE
         
        
        
        
        
            DOI : 
10.1109/LCOMM.2008.080937