DocumentCode :
2563152
Title :
A novel heuristic algorithm for multiuser detection in synchronous CDMA wireless sensor networks
Author :
Gil-Lopez, Sergio ; Del Ser, Javier ; Olabarrieta, Ignacio
Author_Institution :
TELECOM Unit, TECNALIA-Robotiker, Zamudio, Spain
fYear :
2009
fDate :
12-14 Oct. 2009
Firstpage :
1
Lastpage :
6
Abstract :
This paper introduces a novel heuristic algorithm for N-user detection in synchronous CDMA multiple access networks. In such systems, the performance of the conventional single-user detection technique (i.e. a rake receiver compounded by a set of matched filters) is clearly bounded by the well-known multiple access interference (MAI). To avoid this limitation, the optimum maximum likelihood (ML) detection scheme seeks the best solution by performing an exhaustive search over the entire set of N-dimensional information vectors, which entails a computational complexity exponentially increasing with the number of nodes N. The heuristic procedure presented in this manuscript provides a set of near-optimum candidate vectors at a dramatically lower computational complexity. Intensive computer simulations show that our heuristic proposal outperforms the conventional single-user rake receiver, while getting close to the optimum albeit complex ML detector.
Keywords :
code division multiple access; computational complexity; electromagnetic interference; maximum likelihood detection; multiuser detection; radio receivers; N-dimensional information vectors; computational complexity; heuristic algorithm; maximum likelihood detection; multiple access interference; multiuser detection; rake receiver; synchronous CDMA multiple access networks; Code division multiplexing; Computational complexity; Fading; Heuristic algorithms; Matched filters; Maximum likelihood detection; Multipath channels; Multiple access interference; Multiuser detection; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-3942-3
Electronic_ISBN :
978-1-4244-3941-6
Type :
conf
DOI :
10.1109/ICUMT.2009.5345659
Filename :
5345659
Link To Document :
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