Image Transmission in 4G LTE using DWT based SC-FDMA System

Author:

V. M. Padmapriya1

Affiliation:

1. Department of Electronics and Communication Engineering, School of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur, Tamil Nadu, India.

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.

Publisher

Oriental Scientific Publishing Company

Subject

Pharmacology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Performance evaluation of DFT/DCT/DST-based SC-FDMA systems in the presence of CFOs for wireless images transmission;Annals of Telecommunications;2024-04-11

2. NOMA and future 5G & B5G wireless networks: A paradigm;Journal of Network and Computer Applications;2022-08

3. Transmission Over OFDM and SC-FDMA for LTE Systems;Advances in Intelligent Systems and Computing;2021

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