Performance Analysis of Wireless Compressed-Image Transmission over DST-Based OFDMA Systems

Author:

Soufy Khaled Abdullah Al1ORCID,Al-Ashwal Nagi H.1,Al-Kamali Faisal S.1,Swillam Mohamed2

Affiliation:

1. Ibb University

2. The American University in Cairo

Abstract

Abstract This work aims to analyze the performance of the transmission of wireless compressed-image over Discrete Sine Transform (DST)-Based OFDMA (DST-OFDMA) systems. When multimedia data, such as images, is sent over OFDMA it consumes a huge bandwidth during the transmission. Therefore, it is suitable to compress the transmitted images to reduce the required bandwidth. Research on image compression over wireless communication systems is necessitated by the need to improve the bandwidth utilization and energy efficiency of the systems. This work evaluates the performance of wireless compressed-image transmission over DST-OFDMA systems and considers different modulation schemes including 16QAM and QPSK, as well as different subcarriers mapping schemes (localized and interleaved) over vehicular A, SUI3 and uniform channels. The minimum Signal-to-Noise Ratio (SNR) required to recover the compressed image that was transmitted is computed. Nine standard compression techniques are used for analyzing the performance. Generally, the obtained results shown that the performance of DST-OFDMA is better than DFT-OFDMA especially when QPSK modulation is used over SUI3 channel model. Simulation results also demonstrate that the smallest value of SNR required to recover a compressed transmitted image obtained by the interleaved DST-OFDMA (DST-IOFDMA) system using the SPIHT_3D compression method and QPSK modulation over the SUI3 channel model is approximately 18 dB.

Publisher

Research Square Platform LLC

Reference16 articles.

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3. Enhancement of image transmission using chaotic interleaving with discrete wavelet transform-based single-carrier frequency division multiple access system;Mehallel E;Int. J. Commun. Syst.,2021

4. P. Hazowary, S.K. Dutta, R. Subadar: A comparison of image compression techniques over wireless fading channel. Contemporary Issues in Communication, Cloud and Big Data Analytics, Springer, Singapore, pp. 241–249, 2022

5. P.S. Babu, S. Sathappan: Effective compressed image transmission through context aware wireless networks. In: 2016 IEEE International Conference on Advances in Computer Applications (ICACA), pp. 82–86. IEEE, 2016

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