Hopfield neural network and Viterbi decoding for asynchronous MC-CDMA communication systems

Author

Soujeri, Ebrahim ; Bilgekul, Hüseyin

Author_Institution

Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey

fYear

2000

fDate

2000

Firstpage

215

Lastpage

218

Abstract

Hopfield neural network (HNN) multiuser detection in conjunction with Viterbi decoding of an asynchronous multicarrier code-division multiple-access (MC-CDMA) communication system is investigated. In this scenario, the noise is characterized as being the sum of other users´ interference and additive white Gaussian noise (AWGN). The optimal multiuser detector for CDMA has a complexity that is exponential with the number of users. Previous studies have shown that this detector can completely remove the multiple-access interference from the received signal. Convolutional encoding with Viterbi decoding is particularly suited to a channel in which the transmitted signal is corrupted mainly by AWGN. Simulation results indicate that the HNN detector with Viterbi decoding is a good alternative to matched filter detectors

Keywords

AWGN; Hopfield neural nets; Viterbi decoding; Viterbi detection; code division multiple access; convolutional codes; interference (signal); multiuser channels; telecommunication computing; AWGN; CDMA; HNN detector; HNN multiuser detection; Hopfield neural network; Hopfield neural network multiuser detection; Viterbi decoding; additive white Gaussian noise; asynchronous MC-CDMA communication systems; asynchronous multicarrier CDMA communication system; asynchronous multicarrier code-division multiple-access communication system; complexity; convolutional encoding; matched filter detector; multiple-access interference removal; noise; optimal multiuser detector; received signal; simulation; transmitted signal corruption; user interference; AWGN; Additive white noise; Decoding; Detectors; Gaussian noise; Hopfield neural networks; Multiaccess communication; Multicarrier code division multiple access; Multiuser detection; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics, 2000. ICM 2000. Proceedings of the 12th International Conference on

Conference_Location

Tehran

Print_ISBN

964-360-057-2

Type

conf

DOI

10.1109/ICM.2000.916447

Filename

916447