Medical images transmission over MC-MC-CDMA based MRC detection

The increasing demand for high data rate multimedia transmission in wireless networks necessitates robust and spectrally efficient technologies. Multi-code multi-carrier code division multiple access (MC-MC-CDMA) presents a promising solution by combining the advantages of multi-code CDMA and multi-carrier CDMA techniques. This paper comprehensively investigates the MC-MC-CDMA system for medical image transmission applications. A detailed system model is developed, including the transmitter, channel, and maximum ratio combining (MRC) receiver. Analytical expressions for the bit error rate (BER) performance are derived, and comparative studies demonstrate the superior BER performance of MC-MC-CDMA over multi-carrier CDMA and multi-code CDMA systems under varying system parameters. The highlight of this work is the evaluation of the MC-MC-CDMA system for transmitting medical images using MRC detection. Extensive simulations are conducted to analyze the peak signal-to-noise ratio (PSNR) as a measure of received image quality under different signal-to-noise ratio (SNR) conditions. The results reveal that the proposed MC-MC-CDMA system with MRC detection achieves significantly improved PSNR performance compared to equal gain combining (EGC) receivers, enabling reliable and high-quality medical image transmission. The findings underscore the potential of the MC-MC-CDMA system for robust and efficient multimedia data delivery in future wireless healthcare and telemedicine applications.

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Publication Details

Journal
STUDIES IN ENGINEERING AND EXACT SCIENCES
Published
2024-12-20
DOI
https://doi.org/10.54021/seesv5n3-033
Primary Topic
Wireless Communication Networks Research
Type
article
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article

Medical images transmission over MC-MC-CDMA based MRC detection

Mokhtar Besseghier, Youcef Islam Djilani Kobibi, Hocine Abdelhak Azzeddine, Samir Ghouali et al.
STUDIES IN ENGINEERING AND EXACT SCIENCES
Wireless Communication Networks Research
article

Medical images transmission over MC-MC-CDMA based MRC detection

Mokhtar Besseghier, Youcef Islam Djilani Kobibi, Hocine Abdelhak Azzeddine, Samir Ghouali, Abdelhak Zouggaret
article en

Abstract

The increasing demand for high data rate multimedia transmission in wireless networks necessitates robust and spectrally efficient technologies. Multi-code multi-carrier code division multiple access (MC-MC-CDMA) presents a promising solution by combining the advantages of multi-code CDMA and multi-carrier CDMA techniques. This paper comprehensively investigates the MC-MC-CDMA system for medical image transmission applications. A detailed system model is developed, including the transmitter, channel, and maximum ratio combining (MRC) receiver. Analytical expressions for the bit error rate (BER) performance are derived, and comparative studies demonstrate the superior BER performance of MC-MC-CDMA over multi-carrier CDMA and multi-code CDMA systems under varying system parameters. The highlight of this work is the evaluation of the MC-MC-CDMA system for transmitting medical images using MRC detection. Extensive simulations are conducted to analyze the peak signal-to-noise ratio (PSNR) as a measure of received image quality under different signal-to-noise ratio (SNR) conditions. The results reveal that the proposed MC-MC-CDMA system with MRC detection achieves significantly improved PSNR performance compared to equal gain combining (EGC) receivers, enabling reliable and high-quality medical image transmission. The findings underscore the potential of the MC-MC-CDMA system for robust and efficient multimedia data delivery in future wireless healthcare and telemedicine applications.

STUDIES IN ENGINEERING AND EXACT SCIENCESVol. 5(3)
Exact Sciences (United States) (US), Université Mustapha Stambouli de Mascara (DZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Wireless Communication Networks Research
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Medical images transmission over MC-MC-CDMA based MRC detection — Mokhtar Besseghier, Youcef Islam Djilani Kobibi, et al. · STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) | TGRS Research Map | TGRS