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

H Khoshbin-Ghomash, R F Ormondroyd, Roderick W Dunn

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
Original languageEnglish
Title of host publicationVTC 1999-Fall: IEEE VTS 50th Vehicular Technology Conference
PublisherIEEE
Pages643-647
Number of pages5
Volume50
ISBN (Print)15502252
DOIs
Publication statusPublished - 1999
EventIEEE VTS 50th Vehicular Technology Conference, VTC 1999-Fall, September 19, 1999 - September 22, 1999 - Amsterdam, Netherlands
Duration: 1 Jan 1999 → …

Publication series

NameIEEE Vehicular Technology Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.

Conference

ConferenceIEEE VTS 50th Vehicular Technology Conference, VTC 1999-Fall, September 19, 1999 - September 22, 1999
CountryNetherlands
CityAmsterdam
Period1/01/99 → …

Fingerprint

Code division multiple access
Maximum likelihood
Communication systems
Neural networks
Multiple access interference
Multiuser detection
Computational complexity

Cite this

Khoshbin-Ghomash, H., Ormondroyd, R. F., & 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, pp. 643-647). (IEEE Vehicular Technology Conference). IEEE. https://doi.org/10.1109/VETECF.1999.798408

Low complexity neural network structure for implementing the optimum maximum-likelihood multi-user receiver in a DS-CDMA communication system. / Khoshbin-Ghomash, H; Ormondroyd, R F; Dunn, Roderick W.

VTC 1999-Fall: IEEE VTS 50th Vehicular Technology Conference. Vol. 50 IEEE, 1999. p. 643-647 (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceedingChapter

Khoshbin-Ghomash, H, Ormondroyd, RF & Dunn, RW 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 Vehicular Technology Conference, IEEE, pp. 643-647, IEEE VTS 50th Vehicular Technology Conference, VTC 1999-Fall, September 19, 1999 - September 22, 1999, Amsterdam, Netherlands, 1/01/99. https://doi.org/10.1109/VETECF.1999.798408
Khoshbin-Ghomash H, Ormondroyd RF, Dunn RW. 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. 1999. p. 643-647. (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECF.1999.798408
Khoshbin-Ghomash, H ; Ormondroyd, R F ; Dunn, Roderick W. / Low complexity neural network structure for implementing the optimum maximum-likelihood multi-user receiver in a DS-CDMA communication system. VTC 1999-Fall: IEEE VTS 50th Vehicular Technology Conference. Vol. 50 IEEE, 1999. pp. 643-647 (IEEE Vehicular Technology Conference).
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