DocumentCode :
2892317
Title :
Markov Chain Minimum Bit Error Rate Detection for Multi-Functional MIMO Uplink
Author :
Sugiura, S. ; Chen, S. ; Hanzo, L.
Author_Institution :
Sch. of ECS, Univ. of Southampton, Southampton, UK
fYear :
2009
fDate :
14-18 June 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we introduce a novel Markov chain (MC) representation aided minimum bit error rate (MBER) detection method that is applicable to an M-QAM modulated SDM/SDMA uplink system. Compared to the conventional MBER scheme, the proposed MC-MBER scheme is capable of reducing the complexity imposed with the aid of its efficient detection candidate set generation assisted by the Markov chain process. Our performance results demonstrate that the MC-MBER multi-user detection (MUD) is capable of reducing the computational complexity by a factor of eight in comparison to the conventional MBER MUD in a rank-deficient system transmitting four 4-QAM uplink substream with the aid of two receive antennas at the base station (BS), while achieving a BER performance comparable to that of the MBER MUD.
Keywords :
MIMO communication; Markov processes; computational complexity; error detection; error statistics; mobile radio; multiuser detection; quadrature amplitude modulation; space division multiple access; space division multiplexing; BER performance; M-QAM modulation; MBER MUD scheme; MC-MBER scheme; Markov chain representation; SDM-SDMA uplink system; computational complexity; detection candidate set generation; minimum bit error rate detection; mobile communication services; multifunctional MIMO uplink; multiuser detection; rank-deficient system; receive antennas; Antenna arrays; Bit error rate; Computational complexity; Detectors; Iterative decoding; MIMO; Multiaccess communication; Multiuser detection; Quadrature phase shift keying; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
ISSN :
1938-1883
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
Type :
conf
DOI :
10.1109/ICC.2009.5199165
Filename :
5199165
Link To Document :
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