Abstract

In recent trends, the image transmission over wireless communication system in 4G LTE (Long Term Evolution) grow into a challenging task. OFDMA (Orthogonal Frequency Division Multiple Access) plays a key role in data transmission (text, image and video) over wireless systems. In OFDMA several transformation techniques have been used for the transmission of images. But they have some drawbacks such as increased number of carriers, increased delay estimation, high ISI and ICI. Hence, to overcome these drawbacks, an image transmission over wireless communication is proposed using DWT technique. OFDMA has several benefits like less complexity, high flexibility and high spectral efficiency. However, still, it lacks in noise reduction and increased error rates. To avoid these issues, SC-FDMA (Single Carrier Frequency Division Multiple Access) techniques is introduced in this work for the image transmission over wireless communication systems. In this proposed work, a DWT based SC-FDMA system is implemented to reduce the noise and interference using wavelet transform analysis. The performance measure of SNR, PSNR, BER and MSE for the proposed DWT based SC-FDMA system is evaluated using MATLAB. The results indicate that the proposed technique affords superior performance with a reduced BER.

Highlights

  • In recent trends, the image transmission over wireless communication system in 4G LTE (Long Term Evolution) grow into a challenging task

  • Single Carrier FDMA (SC-FDMA) (Single Carrier Frequency Division Multiple Access) techniques is introduced in this work for the image transmission over wireless communication systems

  • The frequency domain signals are converted into time domain signals using Inverse Fast Fourier Transform (IFFT)

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Summary

Higher flexibility

The remaining sections of this work are structured as follows: Section 2 examines some of the existing works related to image transmission techniques in wireless communication. 3 provides a comprehensive explanation of the proposed SC-FDMA system.

Related Work
The functional block diagram of the proposed
SNR PSNR MSE BER
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