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Transmission of Audio over LTE Packet Based Wireless Networks Using Wavelets

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Abstract

In the present study, the main goal is to analyse the performance of audio data for wireless VOIP (Voice Over IP) proposed model utilizing wavelets. This treatise represents a performance study of wireless VOIP for recorded audio signal using different wavelet families such as Coiflet, Daubechies family (Db2, Db4, Db6, Db8, and Db10), Haar and Symlet. The performance was approximated with the subsequent procedure. Firstly, the recorded audio data was decomposed up to 4-levels by means of wavelet transform. From simulation results it is clear that wavelets are more practical and dominant tool meant for analyzing audio signals, as it exhibits multi-resolution property with a considerable decrease in the time complexity for removing resolution problems. Furthermore, it was concluded that Coiflet performs best at 1st and 3rd decomposition levels, while Haar and Db8 (Daubechies 8) performs the best among the other wavelets at 2nd and 4th decomposition levels respectively. Further, the parameters such as SNR (Signal/Noise Ratio), PSNR (Peak S/N Ratio), NRMSE (Normalized Root Mean Square Error), PRSE (Percentage of Retained Signal Energy) and Compression Ratio are used to investigate the performance. Additionally, transmission capabilities are also analyzed using packet loss and delay. Finally, ANOVA (Analysis of Variance) statistical tool has been applied to test the effectiveness of recorded data on 4 groups.

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References

  1. Kuo, F., Effelsberg, W., & Garcia-Luna-Aceves, J. J. (1998). Multimedia communications: Protocols and application (p. 68). Upper Saddle River: Prentice Hall.

    Google Scholar 

  2. Monro. (2004). Audio compression, US Patent App. 10(473), 649.

  3. Khalifa, O., Harding, O., & Hashim, S. H. (2008). A compression using wavelet transform. International Journal of Signal Processing,2, 17–26.

    Google Scholar 

  4. Wang, J. F., Chenshi, A., & Shyuu, J. S. (1999). Wavelet transforms for speech signal processing. Journal of the Chinese Institute of Engineers,22, 549–560.

    Article  Google Scholar 

  5. Veer, K., & Aggarwal, R. (2015). Wavelet and short-time Fourier transform comparison-based analysis of myo-electric signals. Journal of Applied Statistics,42, 1591–1601.

    Article  MathSciNet  Google Scholar 

  6. Veer, K. (2016). Wavelet transform to recognize muscular - force relationship using SEMG signals. Proceedings of the National Academy of Sciences, India, Section A: Physical Sciences,83, 103–112.

    Article  Google Scholar 

  7. Veer, K. (2015). Wavelet transform-based classification of electromyogram signals using an ANOVA technique. Neurophysiology,47, 302–309.

    Article  Google Scholar 

  8. Veer, K., & Sharma, T. (2016). Comparative study of wavelet denoising in myo-electric control applications. Journal of Medical Engineering & Technology,40, 80–86.

    Article  Google Scholar 

  9. Singh, S., & Sohal, J. S. (2016). Wavelets based wireless VOIP and its future scenario, ICAET. In MATEC web of conferences. https://doi.org/10.1051/matecconf/20165701013.

  10. Singh, S., & Sohal, J. S. (2017). Performance analysis of data transmission over wireless VOIP using wavelets. Indian Journal of Science and Technology. https://doi.org/10.17485/ijst/2017/v10i18/112805.

    Article  Google Scholar 

  11. Singh, S., & Sohal, J. S. (2017). Wavelet based image transmission analysis for wireless VOIP. International Journal on Recent and Innovation Trends in Computing and Communication,5(5), 622–627.

    Google Scholar 

  12. Singh, S., Gupta, A., Sohal, J. S., & Veer, K. (2018). Audio transmission over wavelet based wireless VOIP. In Proceedings of soft computing: Theories and applications (SoCTA). Jalandhar: Dr. BR Ambedkar National Institute of Technology.

  13. IEEE Standards on (1999), Part 11: Wireless LAN MAC and physical layer specifications (Part 11). Reference number ISO/IEC 8802-11, 1999(E).

  14. Trad, A., Qiang, N., & Afifi, H. (2004). Adaptive VoIP transmission over heterogeneous wired/wireless networks. In Interactive multimedia and next generation networks (pp. 25–36).

  15. Veeraraghavan, M., Cocker, N., & Moors, T. (2001). Support of voice services in IEEE 802.11 wireless LANs. In Proceedings of INFOCOM, Alaska.

  16. Chen, D. Y., Garg, S., Kappes, M., & Trivedi, K. S. (2002). Supporting VBR VoIP traffic with IEEE 802.11 WLAN in PCF mode. In Proceedings of OPNET work, Washington D. C. (pp. 1–285).

  17. Vijay, B. T., & Malarkodi, B. (2016). Improved QoS in WLAN using IEEE 802. In Twelfth international multi-conference on information processing-(IMCIP) 89, (pp. 17–26).

  18. ITU-T (1996) One-way transmission time. Recommendation G.114.

  19. Karam, M., & Tobagi, F. (2001). Analysis of the delay and jitter of voice traffic over the internet. In Proceedings of IEEE INFOCOM’01, Anchorage, AL. 2 (pp. 1–12).

  20. Borella, M., Swider, D., Uludag, S., & Brewster, G. (1998). Internet packet loss: Measurement and implications for end-to-end QoS. In Proceedings, architectural and OS support for multimedia applications/flexible communication systems/wireless networks and mobile computing (pp. 3–12).

  21. Arai, M., Chiba, A., & Iwasaki, K. (1999). Measurement and modeling of burst packet losses in internet end-to-end communications. In Pacific Rim International Symposium on Dependable Computing (PRDC) (pp. 260–267).

  22. Bolot, J., & Vega-Garcia, A. (1996). Control mechanisms for packet audio in the internet. In Proceedings IEEE Infocom, San Francisco, CA (pp. 232–239).

  23. Floyd, S., & Fall, K. (1999). Promoting the use of end-to-end congestion control in the internet. IEEE/ACM Transactions on Networking,4, 1–16.

    Google Scholar 

  24. Floyd, S., Handley, M., Padhye, J., & Widmer, J. (2000). Equation-based congestion control for unicast applications. In Proceedings of ACM SIGCOMM’2000, Stockholm, Sweden (pp. 43–56).

  25. Paxson, V. (1999). End-to-end internet packet dynamics. IEEE/ACM Transactions on Networking,3, 277–292.

    Article  Google Scholar 

  26. Bolot, J. (1993). End-to-end packet delay and loss behaviour in the internet. ACM SIGCOMM Computer Communication Review,23, 289–298.

    Article  Google Scholar 

  27. Maxemchuk, N. F., & Lo, S. (1997). Measurement and interpretation of voice traffic on the Internet. In IEEE Proceedings of communications, 1997. ICC’97 Montreal, towards the knowledge millennium (Vol. 1, pp. 500–507).

  28. Measurement and interpretation of voice traffic on the internet. In Proceedings ICC, Montreal, Canada (pp. 1–291).

  29. Brosh, E., Baset, S. A., Rubenstein, D., & Schulzrinne, H. (2008). The delay-friendliness of TCP. ACM SIGMETRICS Performance Evaluation Review,36(1), 49–60.

    Article  Google Scholar 

  30. Mohamed, S., Cervantes-Perez, F., & Afifi, H. (2001). Integrating network measurements and speech quality subjective scores for control purposes. In IEEE INFOCOM (Vol. 2, pp. 641–649).

  31. Hagsand, O., Hanson, K., & Marsh, I. (1999). Measuring internet telephony quality: Where are we today? In Globecomm telecommunications conference—Globecomm’99 (Vol. 3, pp. 1838–1842).

  32. Bagal, N., & Pandita, S. (2015). Transmission of audio over wireless networks using raspberry pi in real-time. International Journal of Innovative Research in Science, Engineering and Technology,4, 9.

    Google Scholar 

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Acknowledgements

The Authors are grateful to ECE department of UIET, Panjab University-Sec-25, Chandigarh-160014 (India), for providing the basic facilities during research work.

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Authors and Affiliations

  1. I.K.G. Punjab Technical University, Jalandhar, Punjab, India

    Sarvjit Singh & Amit Gupta

  2. LCET, Katani Kalan, Ludhiana, Punjab, India

    J. S. Sohal

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  1. Sarvjit Singh
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  2. Amit Gupta
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  3. J. S. Sohal
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Correspondence to Sarvjit Singh.

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Singh, S., Gupta, A. & Sohal, J.S. Transmission of Audio over LTE Packet Based Wireless Networks Using Wavelets. Wireless Pers Commun 112, 541–553 (2020). https://doi.org/10.1007/s11277-020-07059-x

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