Wavelet Transform Application Based on Matlab Simulation
Main Article Content
Abstract
Multiple Input Multiple Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) are two combined technologies to provide the spectral efficiency and high data rate required for 4G, 5G wireless systems. Discrete Wavelet Transform (DWT) is presented as an alternative for Fast Fourier Transform (FFT) since there is no necessity for Cyclic Prefix (CP) due to the overlapping properties of DWT. By a simple replacement of the FFT with DWT in MIMO OFDM system, an improvement of performances has been detected which leads to a new system scenario DWT-based MIMO-OFDM. In this thesis, such a system is simulated and the performance of Bit Error Rate (BER) is analyzed to determine the different types of wavelets in various channel condition with different modulations (4, 16, 64 -QAM). Therefore, DWT-based MIMO-OFDM in comparison with DFT-based MIMO-OFDM system was investigated using MATLAB simulation software. And besides, I would like to refer to use Neural Network algorithms to replace Wavelet transform in the next research.
References
[2] R. Asif, R.A. Abd-Alhameed, O. Oanoh, Y. Dama, H.S. Migdadi, J.M. Noars, A.S. Hussaini, J. Rodriguez, Performance comparison between DWT-OFDM and FFT-OFDM using time domain zero forcing equalization, International Conference on Telecommunications and Multimedia (TEMU), 1 (2012) 175-178. https://doi.org/10.1109/TEMU.2012.6294712.
[3] D. Meenakshi, S. Prabha, N.R. Raajan, Compare the performance analysis for FFT based MIMO-OFDM with DWT based MIMO-OFDM, IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICECCN (2013) 441-445. https://doi.org/10.1109/ICE-CCN.2013.6528539
[4] Asma Bouhlela, Anis Saklyb, Nejib Mansouri, Performance Comparison of DWT Based MIMO OFDM and FFT Based MIMO OFDM, Procedia Computer Science 73 (2015) 266-273. https://doi.org/10.1016/j.procs.2015.12.029
[5] Usama S. Mohammed, Ahmed Tohamy, A Low Complexity OFDM System with Minimum Inter-symbol Interference, 5th Joint IFIP Wireless and Mobile Networking Conference; IEEE (2012) 22-28. https://doi.org/10.1109/WMNC.2012.6416144
[6] P.D. Gawande, S.A. Ladhake, BER Performance of OFDM system with cyclic prefix & zero padding, International Journal of Advances in Engineering & Technology (2013) 316-324.
[7] Dishya Sharma, Sanjay, Channel Estimation of Wavelet-Based MIMO-OFDM Systems Using Least Square Estimator and Kalman Algorithm, International Journal for Research in Applied Science & Engineering Technology (IJRASET), 6 (IV) (2018) 4163-4168. https://doi.org/10.22214/ijraset.2018.4687
[8] N. Farsad, A. Goldsmith, Neural network detection of data sequences in communication systems, IEEE Trans. Signal Process. 66 (21) (2018) 5663–5678. https://doi.org/10.1109/TSP.2018.2868322
[9] C. Luo, J. Ji, Q. Wang, X. Chen, P. Li, Channel state information prediction for 5G wireless communications: A deep learning approach, IEEE Trans. Netw. Sci. Eng. (2018) 1–11. https://doi.org/10.1109/TNSE.2018.2848960