DocumentCode :
1636552
Title :
Reduced-Complexity Maximum-Likelihood Detection in Downlink SDMA Systems
Author :
Akhtman, Jos ; Wei, Chun-Yi ; Hanzo, Lajos
Author_Institution :
Sch. of ECS., Univ. of Southampton, Southampton
fYear :
2006
Firstpage :
1
Lastpage :
5
Abstract :
The literature of up-link SDMA systems is rich, but at the time of writing there is a paucity of information on the employment of SDMA techniques in the down-link. Hence, in this paper a space division multiple access (SDMA) down-link (DL) multi-user communication system invoking a novel low-complexity maximum likelihood (ML) space-time detection technique is proposed, which can be regarded as an advanced extension of the complex sphere decoder (CSD). We demonstrate that as opposed to the previously published variants of the CSD, the proposed technique may be employed for obtaining a high effective throughput in the so-called "over-loaded" scenario, where the number of transmit antennas exceeds that of the receive antennas. The proposed method achieves the optimum performance of the ML detector even in heavily over-loaded scenarios, while the associated computational complexity is only moderately increased. As an illustrative example, the required Eb/NO increased from 2 dB to 9 dB, when increasing the normalized system load from unity, representing the fully loaded system, to a normalized load of 1.556.
Keywords :
computational complexity; maximum likelihood detection; multiuser detection; radio links; space division multiple access; complex sphere decoder; computational complexity; downlink SDMA multiuser communication systems; overloaded scenarios; receive antennas; reduced-complexity maximum-likelihood space-time detection; space division multiple access; transmit antennas; Detectors; Downlink; Employment; Maximum likelihood decoding; Maximum likelihood detection; Multiaccess communication; Receiving antennas; Throughput; Transmitting antennas; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0062-7
Electronic_ISBN :
1-4244-0063-5
Type :
conf
DOI :
10.1109/VTCF.2006.382
Filename :
4109647
Link To Document :
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