DocumentCode :
2139247
Title :
Maximum likelihood decoding in a space division multiplexing system
Author :
Van Nee, Richard ; van Zelst, Allert ; Awater, Geert
Author_Institution :
Lucent Technol. Bell Labs., Nieuwegein, Netherlands
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
6
Abstract :
An analysis is made of maximum likelihood decoding (MLD) in a wireless space division multiplexing (SDM) link, where information is transmitted and received simultaneously over several transmit and receive antennas to achieve large data rates and high spectral efficiencies. It is proven that maximum likelihood decoding obtains a diversity order equal to the number of receive antennas, independent of the number of the transmit antennas, while conventional processing techniques such as the minimum mean square error (MMSE) technique obtain a diversity order equal to the number of receive antennas minus the number of transmit antennas plus one. Hence, compared to conventional techniques, maximum likelihood decoding has a significant signal-to-noise ratio advantage which grows with the number of transmit antennas. Maximum likelihood decoding even works when the number of transmit antennas is larger than the number of receive antennas, which is not possible for conventional techniques
Keywords :
error statistics; maximum likelihood decoding; quadrature amplitude modulation; quadrature phase shift keying; receiving antennas; space division multiplexing; transmitting antennas; 16-qam; MMSE; QPSK; SNR; diversity order; high spectral efficiencies; large data rates; maximum likelihood decoding; minimum mean square error; receive antennas; signal-to-noise ratio; space division multiplexing system; symbol error probability; transmit antennas; wireless space division multiplexing link; Bandwidth; Error probability; Euclidean distance; Information analysis; Maximum likelihood decoding; Mean square error methods; Quadrature amplitude modulation; Receiving antennas; Space technology; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
Conference_Location :
Tokyo
ISSN :
1090-3038
Print_ISBN :
0-7803-5718-3
Type :
conf
DOI :
10.1109/VETECS.2000.851407
Filename :
851407
Link To Document :
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