The Effect of Wavelet Transform on OFDM system in Modern Cellular Networks

Mayada Faris Ghanim

Abstract


Wavelet transform has many advantages that make it suitable and efficient approach to replace Fast Fourier Transform (FFT) in conventional Orthogonal Frequency Division Multiplexing (OFDM) systems. Wavelet transform is employed in modern cellular networks to remove the use of cyclic prefix, which leads to decreasing the bandwidth losses and the power of transmission. Wavelet based OFDM system is designed in order to overcome the drawbacks of OFDM system so that the proposed system is good candidate for next generation wireless communications.

References


Lokesh C., Nataraj K.R., Rekha K.R. and Mamatha C.G., "Wavelet OFDM for Power Line Communication," 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), Bangalore, 2017, pp. 223-229.

Aanchal Jhingan and Lavish Kansal, “Performance Analysis of FFT-OFDM and DWT-OFDM over AWGN Channel under the Effect of CFO”, Indian Journal of Science and Technology, Vol 9, No. 6, pp.2-6, 2016.

Hannu Olkkonen, “Discrete Wavelet Transforms :Algorithms and Applications”, book published by InTech, Croatia, pp.57, 2011.

Pratima Manhas and M.K Soni, “Optimized OFDM Model Using CMA Channel Equalization for BER Evaluation”, Bulletin of Electrical Engineering and Informatics, Vol. 6, No. 2, 2017, pp. 133-139.

Wellia Shinta Sari, Eko Hari Rachmawanto, De Rosal Ignatius Moses Setiadi and Christy Atika Sari, “A Good Performance OTP Encryption Image based on DCT-DWT Steganography”, TELKOMNIKA, Vol.15, No.4, December 2017, pp. 1982-1989.

Dipalee Gupta, Siddhartha Choubey, “Discrete Wavelet Transform for Image processing”, International Journal of Emerging Technology and Advanced Engineering” ,Vol. 4, Issue 3, pp. 598-602, 2015.

Agoyi, M., Çelebi, E. and Anbarjafari, G.,“A Watermarking Algorithm Based on Chirp Z-Transform, Discrete Wavelet Transform, and Singular Value Decomposition”, Signal, Image and Video Processing, Springer London, Vol. 9, Issue 3, pp 735–745, 2015.

Jelena Kovacevic, Vivek K Goyal. Martin Vetterli, “Fourier and Wavelet Signal Processing” Published by Cambridge University Press, pp.106-109, 2013.

Agus Sujono and Eka Firmansyah, “Detection and Identification of Detonation Sounds in an Internal Combustion Engine Using Wavelet and Regression Analysis”, International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), Indonesia, 2014, pp.415-419.

L. K. Dang, T. H. T. Nguyen, H. P. Nguyen and H. Ochi, "A low complexity Wavelet OFDM system on FPGA," 2013 Third World Congress on Information and Communication Technologies (WICT 2013), Hanoi, 2013, pp. 240-244.

M. Chafii, J. Palicot, R. Gribonval and A. G. Burr, "Power spectral density limitations of the wavelet-OFDM system," 2016 24th European Signal Processing Conference (EUSIPCO), Budapest, 2016, pp. 1428-1432.




DOI: http://doi.org/10.11591/ijeecs.v15.i1.pp%25p
Total views : 3 times

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

shopify stats IJEECS visitor statistics