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Low complexity neural network structure for implementing the optimum maximum-likelihood multi-user receiver in a DS-CDMA communication system


Reference:

Khoshbin-Ghomash, H., Ormondroyd, R. F. and Dunn, R. W., 1999. Low complexity neural network structure for implementing the optimum maximum-likelihood multi-user receiver in a DS-CDMA communication system. In: VTC 1999-Fall: IEEE VTS 50th Vehicular Technology Conference. Vol. 50. IEEE, pp. 643-647. (IEEE Vehicular Technology Conference)

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Official URL:

http://dx.doi.org/10.1109/VETECF.1999.798408

Abstract

The capacity of direct-sequence code division multiple access systems is interference limited, particularly by multiple-access interference produced by other co-channel users. The optimum multi-user receiver calculates the maximum-likelihood ratio of the detected data for all users simultaneously, but it has a complexity that grows exponentially with the number of users. In this paper, a neural network approach to multi-user detection is considered. It is shown that the performance of this receiver is the same as the maximum-likelihood multi-user receiver but it has a much lower computational complexity.

Details

Item Type Book Sections
CreatorsKhoshbin-Ghomash, H., Ormondroyd, R. F. and Dunn, R. W.
DOI10.1109/VETECF.1999.798408
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
StatusPublished
ID Code23205
Additional InformationIEEE VTS 50th Vehicular Technology Conference, VTC 1999-Fall. 19-22 September 1999. Amsterdam, Netherlands.

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