Performance Evaluation of MC-CDMA Systems with Single User Detection Technique using Kernel and Linear Adaptive Method

• Autorzy: Fateh Rachid , Darif Anouar , Safi Said

Identyfikatory

DOI

10.26636/jtit.2021.151621

• Języki publikacji: EN

Abstrakty

EN

Among all the techniques combining multi-carrier modulation and spread spectrum, the multi-carrier code division multiple access (MC-CDMA) system is by far the most widely studied. In this paper, we present the performance of the MC-CDMA system associated with key single-user detection techniques. We are interested in problems related to identification and equalization of mobile radio channels, using the kernel method in Hilbert space with a reproducing kernel, and a linear adaptive algorithm, for MC-CDMA systems. In this context, we tested the efficiency of these algorithms, considering practical frequency selective fading channels, called broadband radio access network (BRAN), standardized for MC-CDMA systems. As far as the equalization problem encountered after channel identification is concerned, we use the orthogonality restoration combination (ORC) and the minimum mean square error (MMSE) equalizer techniques to correct the distortion of the channel. Simulation results demonstrate that the kernel algorithm is efficient for practical channel.

Słowa kluczowe

EN

BRAN channels; equalization; kernel method; MC-CDMA; reproducing kernel Hilbert space

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2021
• Tom: nr 4
• Strony: 1--11
• Opis fizyczny: Bibliogr. 45 poz., rys., tab.

Twórcy

autor

Fateh Rachid

• Laboratory of Innovation in Mathematics, Applications and Information Technologies (LIMATI), Multidisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco

• https://orcid.org/0000-0002-0574-2105

autor

Darif Anouar

• Laboratory of Innovation in Mathematics, Applications and Information Technologies (LIMATI), Multidisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco

• https://orcid.org/0000-0001-8026-9189

autor

Safi Said

• Laboratory of Innovation in Mathematics, Applications and Information Technologies (LIMATI), Multidisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco

• https://orcid.org/0000-0003-3390-9037

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