Research Article |
Performance Evaluation of Hybrid Chaotic and Permutation Schemes for Image Transmission Based MC-CDMA
Author(s): Zainab N. Abdulhameed1, Haraa Raheem Hatem2*, Wurod Qasim Mohamed3
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 13, Issue 2
Publisher : FOREX Publication
Published : 30 May 2025
e-ISSN : 2347-470X
Page(s) : 218-226
Abstract
The demand for more reliable and efficient multimedia data transfer through wireless communications channels is escalating. However, multimedia data, such as images, suffers significantly from wireless channel effects, including interference, fading, and burst errors. The Multi-Carrier Code Division Multiple Access (MC-CDMA) technology is regarded as the most efficient method for data transfer across wireless networks, supporting multiple users simultaneously without requiring an expansion of the frequency band. This paper employs permutation and hybrid chaotic techniques to demonstrate image transmission performance over the MC-CDMA network. Based on Peak Signal-to-Noise Ratio (PSNR), Bit Error Rate (BER), and Root Mean Square Error (RMSE) parameters, this paper analyzes, compares, and discusses the image transmission performance over the MC-CDMA network. Moreover, the hybrid chaotic and permutation techniques enhance the encryption degree of the image transmission. The performance outcomes demonstrate that the MC-CDMA image transceiver system based on a permutation scheme achieves more effective and better results in terms of BER, RMSE, and PSNR than the one based on a hybrid chaotic scheme over the Rayleigh channel. However, the BER performance is almost identical to that of increasing the number of users in the MC-CDMA model for both schemes.
Keywords: MC-CDMA
, permutation
, Henon map
, logistic map
, BER
, PSNR
.
Zainab N. Abdulhameed, University of Anbar; Email: zainab.abdulhameed@uoanbar.edu.iq
Haraa Raheem Hatem, University of Diyala; Email: haraa-altaie1980@yahoo.com
Wurod Qasim Mohamed, University of Diyala; Email: wurod@uodiyala.edu.iq
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