DocumentCode :
1742419
Title :
Multiuser detection with cell diversity for DS/CDMA systems
Author :
Zhang, Qian ; Ye, Weihua ; Varshney, Pramod K.
Author_Institution :
Electr. Eng. & Comput. Sci. Dept., Syracuse Univ., NY, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
670
Abstract :
This paper presents a multiuser detection scheme based on cell diversity for DS/CDMA systems. This scheme may be employed when multiple base stations can receive the signal from a mobile. Each participating base station uses a decorrelator to remove multiple access interference and obtains the decision statistic for each user. It then quantizes the decision statistic and transmits it to a central processor. Based on these received quantized cell decision statistics, the central processor determines the received bit for each user. The quantizer proposed here is a MMSE log likelihood ratio quantizer, and is obtained via a Lloyd-Max type of algorithm. The decision-making rule at the central processor is derived based on multisensor signal detection theory. Numerical results show that significant performance improvement over single cell multiuser detection can be obtained at a moderate cost in terms of additional signal processing and communication bandwidth
Keywords :
cellular radio; code division multiple access; decorrelation; diversity reception; interference suppression; least mean squares methods; multiuser channels; quantisation (signal); radiofrequency interference; signal detection; spread spectrum communication; statistical analysis; DS/CDMA systems; Lloyd-Max algorithm; MMSE log likelihood ratio quantizer; cell diversity; cellular radio; central processor; communication bandwidth; decision statistic quantisation; decision-making rule; decorrelator; multiple access interference removal; multiple base stations; multisensor signal detection theory; near-far resistance; received quantized cell decision statistics; reliable handover; shadowing; signal processing; single cell multiuser detection; Base stations; Costs; Decision making; Decorrelation; Multiaccess communication; Multiple access interference; Multiuser detection; Signal detection; Signal processing algorithms; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Confernce, 2000. WCNC. 2000 IEEE
Conference_Location :
Chicago, IL
ISSN :
1525-3511
Print_ISBN :
0-7803-6596-8
Type :
conf
DOI :
10.1109/WCNC.2000.903934
Filename :
903934
Link To Document :
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