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