Call for Paper

CAE solicits original research papers for the July 2019 Edition. Last date of manuscript submission is June 30, 2019.

Read More

Performance Evaluation of DWT-OFDM and DFT-OFDM in Multipath PLC Channel

Abdoreza Kiani. Published in Communications.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Abdoreza Kiani

Abdoreza Kiani. Performance Evaluation of DWT-OFDM and DFT-OFDM in Multipath PLC Channel. Communications on Applied Electronics 5(3):1-6, June 2016. BibTeX

	author = {Abdoreza Kiani},
	title = {Performance Evaluation of DWT-OFDM and DFT-OFDM in Multipath PLC Channel},
	journal = {Communications on Applied Electronics},
	issue_date = {June 2016},
	volume = {5},
	number = {3},
	month = {Jun},
	year = {2016},
	issn = {2394-4714},
	pages = {1-6},
	numpages = {6},
	url = {},
	doi = {10.5120/cae2016652244},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Power-line communication (PLC) carries data on a conductor that is also used simultaneously for AC electric power transmission or electric power distribution to consumers. Power-line communications systems operate by adding a modulated carrier signal to the wiring system. Different types of power-line communications use different frequency bands. Since the power distribution system was originally intended for transmission of AC power at typical frequencies of 50 or 60 Hz, power wire circuits have only a limited ability to carry higher frequencies. Data rates and distance limits vary widely over many power-line communication standards. Low-frequency (about 100–200 kHz) carriers impressed on high-voltage transmission lines may carry one or two analog voice circuits, or telemetry and control circuits with an equivalent data rate of a few hundred bits per second; however, these circuits may be many miles long. Higher data rates generally imply shorter ranges; a local area network operating at millions of bits per second may only cover one floor of an office building, but eliminates the need for installation of dedicated network cabling. Reliable and high speed communication over power lines requires a robust modulation scheme, like a Discrete Wavelet Transform (DWT) based modulation technique, hence the quality of data communication over the noisy in-home power line network can be improved. This paper investigates the performance of conventional Orthogonal Frequency Division Multiplexing (OFDM) and Discrete Wavelet Transform-based OFDM (DWT-OFDM) systems in the presence of background and impulsive noise in multipath power lines as a communication channels. The time and frequency localization properties of the wavelet transform mitigates narrowband and heavy impulsive noise in the power lines which results in performance improvement. Simulation results in terms of PAPR, PSD, and Bit Error Rate (BER) show that DWT-OFDM is more robust against interference and multipath effects compared to DFT-OFDM, and increasing the length of the basis function improves BER and PAPR.


  1. S. Baig and M. J. Mughal, “Multirate signal processing techniques for high-speed communication over power lines,” IEEE Commun. Mag., vol. 47, no. 1, pp.70-76, Jan 2009.
  2. S. Galli, H. Koga, and N. Kodama, “Advanced signal processing for PLCs: Wavelet-OFDM,” in Proc. IEEE Int. Symp. on Power Line Commun. and Its Applicat. 2008 (ISPC’08), pp. 187-193, Apr 2008.
  3. A. Farhang, M. Molavi, and B. Farhang Boroujeny, “Wavelet-OFDM versus Filtered-OFDM in Power Line Communication Systems,” 5th Int. Symp. on Telecommun., pp. 691-694, Dec 2010.
  4. Z. Deng,W. Guan, J. Huang, D. Zou, and Yuetao Ge, “Wavelet-based Multi-Carrier Modulation on Power Line Communication,” IEEE Int. conf. on wireless commun., networking and mobile computing, sept. 2009.
  5. H. Philipps, “Modeling of powerline communication channels,” in Proc. 3rd Int. Symp. Power-Line Communications and its Applications (ISPLC’99), pp. 14-21, Mar. 1999.
  6. H. Philipps, “Development of a Statistical Model for Powerline Communication Channels”, in Int. Symp. on Power Line Commun. (ISPLC), Ireland, pp. 153–160, Apr 2000.
  7. M. Zimmermann and K. Dostert, “A multi-path signal propagation model for the power line channel in the high frequency range,” in Proc. 3rd Int. Symp. Power-Line Communications and its Applications (ISPLC’99), pp. 45–51, Mar. 1999.
  8. T. Banwell and S. Gali, “A Novel Approach to the Modeling of the Indoor Powerline Channel -Part I: Circuit Analysis and Companion Model,” IEEE Trans. Power Del.,vol. 20, no.2, pp. 655-663, Apr 2005.
  9. T. Banwell and S. Galli, “A Novel Approach to the Modeling of the Indoor Powerline Channel -Part II: Transfer Function and Its Properties," IEEE Trans. Power Del., vol. 20, no. 3, pp. 1869-1878, July 2005.
  10. IEEE. , “Standard for broadband over power line networks: medium access control and physical layer specifications,” IEEE P1901, Sep. 2010.
  11. N. Andreadou and N. Pavlidou, “Modeling the noise on the OFDM powerline communications system,” IEEE Trans. Power Del., vol. 25, no. 1, pp. 150-157, Jan. 2010.
  12. D. Benyoucef, “A New Statistical Model of the Noise Power Density Spectrum for Powerline Communication,” 7th Int. Symp. on Power Line Commun. and Its Applicat, pp. 136-141, 26-28, Mar. 2003.
  13. M. Zimmermann and K. Dostert, “Analysis and Modeling of Impulsive Noise in Broad-Band Power line Communications,” IEEE Trans. Electromagn. Compat., vol. 44, no. 1, pp. 249-258, Feb 2002.
  14. R. Lindsey, “Wavelet packet modulation: a generalized method for orthogonally multiplexed communications,” in IEEE 27th Southeastern Symp. on System Theory, pp. 392–396, Mar 1995.
  15. D. Daly, C. Heneghan, A. Fagan, and M. Vetterli, “Optimal wavelet packet modulation under finite complexity constraint,” in Proc. ICASSP, vol. 3, pp. 2789–2792, May 2002.
  16. P. Kaewmanee, R. F.Ormondroyd, C. R. Walters, “Resilient adaptive wavelet packet modulation scheme for Used in Time and Frequency Selective Channels Using the Best Tree Search Algorithm,”2004 IEEE Military Commun. Conf., pp. 1566-1571, Milom, Oct. 31 2004-Nov. 3 2004.
  17. P.P.Vaidyanathan, “A theory for multiresolution signal decomposition: The wavelet representation,” IEEE Trans .Pattern Anal. Machine Intell, vol.11, pp.674-693, Jul 1989.
  18. G.Strang, T.Nquyen, Wavelets and Filter Banks, Wellesley-Cambridge Press, 1996.
  19. M.Vetterli, J. Kovacevic, Wavelets and Subband Coding.Prentice HallPTR, Englewood Cliffs, New Jersey, 1995.
  20. I.Daubechies, Ten Lectures on Wavelets, Philadelphia:SIAM, 1992.
  21. A. Kiani, G. Baghersalimi and B. Zanj. “Performance Assessment of DFT-OFDM and DWT-OFDM Systems in the Presence of the HPA Nonlinearity,” in Proc. IEEE Int. conf. on Telecommun. (ConTEL), pp. 273-278, Jun 2011.