Title : 
Challenges in Coding for Quantized MIMO Systems
         
        
            Author : 
Michel T. Ivrlac;Josef A. Nossek
         
        
            Author_Institution : 
Institute for Circuit Theory and Signal Processing, Munich University of Technology, D-80333 Munich, Germany. email: ivrlac@tum.de, phone: +49-89-289285-{34,02}
         
        
        
            fDate : 
7/1/2006 12:00:00 AM
         
        
        
        
            Abstract : 
This paper provides analysis of binary space-time block codes with optimum decoding for multi-input multi-output (MIMO) system with one-bit receive signal quantization. Exhaustive investigation of short binary space-time block codes with unity code rate shows some remarkable results. For instance, almost all codes perform poorly, except one optimum channel-dependent code which can achieve large coding gain. There are no binary 2times2 space-time block codes (including all Alamouti codes) which can achieve transmit diversity without some channel knowledge. However, there exist a few semi-universal codes which are optimum for almost all MIMO channels and can be selected by feedback from the receiver. Design of longer and more powerful codes remains a challenge and requires further research activity
         
        
            Keywords : 
"MIMO","Quantization","Block codes","Receiving antennas","Signal resolution","Decoding","Signal processing","Channel capacity","Spatial resolution","Signal analysis"
         
        
        
            Conference_Titel : 
Information Theory, 2006 IEEE International Symposium on
         
        
        
            Print_ISBN : 
1-4244-0505-X
         
        
            Electronic_ISBN : 
2157-8117
         
        
        
            DOI : 
10.1109/ISIT.2006.261924