International Journal of Computer Network and Information Security (IJCNIS)
IJCNIS Vol. 8, No. 4, 8 Apr. 2016
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Implementation of SRRC Filter in Mobile WiMax with DWT Based OFDM System
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Author(s)
Harpreet Kaur
1,*
Manoj Kumar
1
Ajay K. Sharma
2
Harjit P. Singh
3
Index Terms
DWT-OFDM, pulse shaping, oversampling rate, roll-off factor, Root Raised Cosine, mobile WiMax
Abstract
Pulse shaping filter when applied to the symbols generated for transmission in a bandwidth limited systems allow for bandwidth containment that reduces the Inter-Symbol Interference (ISI) arising from multipath signal reflections which further minimizes the probability of errors at the receiver. Wavelets encompass the advantages of transforming and mapping data onto orthogonal subcarriers with optimal flexibility as well as less complexity which leads to increase the bandwidth efficiency of an Orthogonal Frequency Division Multiplexing (OFDM) system. In this paper Square Root Raised Cosine (SRRC) a pulse shaping technique when applied to Discrete Wavelet Transform (DWT) based OFDM system in mobile WiMax is simulated and its performance analysis in terms of Bit Error rate (BER) as a function of Signal to Noise Ratio (SNR) is investigated for various modulation schemes under AWGN channel. The results obtained show that SRRC filter offers to significantly improve BER for the given SNR and enhance the performance of physical layer in Mobile WiMax. The performance measurements and analysis is done in the simulation developed in MATLAB.
Cite This Paper
Harpreet Kaur, Manoj Kumar, Ajay K. Sharma, Harjit P. Singh, "Implementation of SRRC Filter in Mobile WiMax with DWT Based OFDM System", International Journal of Computer Network and Information Security(IJCNIS), Vol.8, No.4, pp.62-69, 2016. DOI:10.5815/ijcnis.2016.04.08
Reference
[1]IEEE Std 802.16e TM-2005, “Part 16: Air interface for fixed and mobile broadband wireless access systems,” Feb. 2006.
[2]Etemad, Kamran. "Overview of mobile WiMAX technology and evolution."Communications magazine, IEEE 46, no. 10 pp.31-40, 2008.
[3]S. Casal, Pedro, J. R. Pineiro, J.A. G.Naya, and L. Castedo. "Experimental evaluation of the WiMAX downlink physical layer in high-mobility scenarios." EURASIP Journal on Wireless Communications and Networking, vol 2015, article no. 21, 2015.
[4]Y.Li and G.L Stuber, “Orthogonal Frequency Division Multiplexing for Wireless Communication,” Springer; 2006.
[5]P. Thieny, V. B. Mark and M. Marc, “BER Sensitivity of OFDM Systems to Carrier Frequency Offset and Wiener Phase Noise,” IEEE Transaction on Communication, vol. 43, pp 191–193, 1995.
[6]S. Khalid, and S. I. Shah, “PAPR Reduction by using discrete wavelet transform,” in Proceeding of IEEE -2nd International Conference on Emerging Technologies, pp 179-182, 2006.
[7]J. Armstrong, “Analysis of new and existing methods of reducing Inter-Carrier Interference due to carrier frequency offset in OFDM,” IEEE Transaction on Communication, vol. 47,no. 3, pp 365–369, 1999.
[8]M. K. Gupta and S. Tiwari, “Performance evaluation of conventional and wavelet based OFDM System,” International Journal on Electronics and Communication, vol. 67, no.4, pp 348– 354, 2013.
[9]Li Xiaodong and L.J. Cimini, “.Effects of clipping and filtering on the performance of OFDM”, IEEE communications Letters, vol. 2 no.5, pp131–133, 1998.
[10]P. Tan and N.C. Beaulieu, “Reduced ICI in OFDM systems using the better than raised-cosine pulse”, IEEE Communication Letter, vol. 8, no. 3, pp 135–137, 2004.
[11]H. Kaur, M. Kumar, A. K Sharma and H.P.Singh, “Performance Analysis of Different Wavelet Families over Fading Environments for Mobile WiMAX System,” International Journal of Future Generation Communication and Networking, vol. 8, pp 87-98, 2015.
[12]A. Kaizuran and Z. M. Hussain “Studies on DWT-OFDM and FFT-OFDM Systems”, in the Proceeding of IEEE International Conference on Communication, Computer and Power, pp 382-386, 2009.
[13]B. G. Negash and H. Nikookar, “Wavelet-based multicarrier transmission over multipath wireless channels,” Electronics Letters, vol. 36, no. 21, pp 1787–1788, 2000.
[14]W.Saad, N.El-Fishawy, S.EL-Rabaie and M. Shokair, “An Efficient Technique for OFDM system using Discrete Wavelet Transform,” Springer-Verlag Berlin Heidelberg, pp 533–541, 2010.
[15]V.Kumbasar, and O. Kucur, “Performance comparison of wavelet based and conventional OFDM systems in multipath Rayleigh fading channels,” Digital Signal Processing, vol. 22, pp 841–846, 2012.
[16]S. Srikanth, V. Paul Reuben, P. Arun, S. Thiagarajan, “ Performance of adaptive modulation techniques for wireless local area networks,” IETE Technical Review, Special Issue on Broadband Wireless Technologies, vol. 21, pp 345-350, 2004.
[17]D. Gandhi, S. Gupta and U. D. Dalal, “Article: Implementation of Pulse Shaping Techniques in OFDM System,” International Journal of Computer Applications, vol. 68, no.10, pp 19-23, 2013.
[18]P. Xiao, C. Toal, D. Burns, V. Fusco and C. Cowan, “Transmit and receive filter design for OFDM-based WLAN systems,” in the proceeding of International Conference on Wireless Communications and Signal Processing, 2010.
[19]H.M. Mourad “Reducing ICI in OFDM systems using a proposed pulse shape,” Wireless Personnel Communication, vol. 40, pp 41–48, 2006.
[20]L. Korowajczuk, “LTE, WiMAX and WLAN Network Design, Optimization and Performance Analysis,” John Wiley and Sons Ltd Publishers, 2011.
[21]K. Vaisanen and M Renfors “Efficient digital filters for pulse-shaping and jitter-free frequency error detection and timing recovery”, Signal Processing, vol.81, pp 829-844, 2001.