Title :
Spatio-temporal coding for wireless communications
Author :
Raleigh, G.G. ; Cioffi, J.M.
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
A compact model is derived for the multiple-input multiple output (MIMO), dispersive, spatially selective wireless communication channel. The multivariate information capacity behavior is then analyzed for various input and output antenna configurations. For high SNR conditions, the MIMO channel can exhibit a capacity slope in bits per dB of power increase that is proportional to the minimum of the number multipath components, the number of input antennas, or the number of output antennas. The discrete matrix multitone (DMMT) is proposed as an asymptotically optimal, practical spatio-temporal coding structure. Experimental examples that support the theoretical results are presented
Keywords :
antennas; channel capacity; channel coding; matrix algebra; multipath channels; radiocommunication; MIMO communication channel; asymptotically optimal coding; capacity slope; discrete matrix multitone; dispersive channel; experimental results; high SNR; input antenna configuration; memory channel; multipath components; multiple input multiple output channel; multivariate information capacity; output antenna configuration; spatially selective wireless communication channel; spatiotemporal coding; Antenna accessories; Antennas and propagation; Bandwidth; Filters; Geometry; MIMO; Receiving antennas; Scattering; Transmitting antennas; Wireless communication;
Conference_Titel :
Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
Conference_Location :
London
Print_ISBN :
0-7803-3336-5
DOI :
10.1109/GLOCOM.1996.591950
