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