Call for Paper

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

Read More

A New Non-intrusive Model for Measuring VoLTE Quality based on Wideband E-model

Duy-Huy Nguyen, Hang Nguyen, Eric Renault. Published in Signal Processing.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Duy-Huy Nguyen, Hang Nguyen, Eric Renault
10.5120/cae2016652333

Duy-Huy Nguyen, Hang Nguyen and Eric Renault. A New Non-intrusive Model for Measuring VoLTE Quality based on Wideband E-model. Communications on Applied Electronics 5(8):1-8, August 2016. BibTeX

@article{10.5120/cae2016652333,
	author = {Duy-Huy Nguyen and Hang Nguyen and Eric Renault},
	title = {A New Non-intrusive Model for Measuring VoLTE Quality based on Wideband E-model},
	journal = {Communications on Applied Electronics},
	issue_date = {August 2016},
	volume = {5},
	number = {8},
	month = {Aug},
	year = {2016},
	issn = {2394-4714},
	pages = {1-8},
	numpages = {8},
	url = {http://www.caeaccess.org/archives/volume5/number8/636-2016652333},
	doi = {10.5120/cae2016652333},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Long Term Evolution (LTE) was initially designed for a high data rates network. However, voice service is always a main service that brings a big benefit for mobile operators. Hence the deployment of Voice over LTE (VoLTE) is very essential and urgent. LTE network is a fully All-IP network, thus, the deployment of VoLTE is very complex, specially for guaranteeing of Quality of Service (QoS) to meet quality of experience of mobile users. The key purpose of this paper is to present an object, nonintrusive prediction model for VoLTE quality based on LTE-Sim framework and Wideband (WB) E-model. In order to simulate the experiment, we deployed LTE-Sim framework combining C programming in Matlab software. The outputs of the LTE-Sim will be the inputs of the WB E-model. The output of the WB E-model is user satisfaction via Mean Opinion Score (MOS). In addition, due to voice over LTE network (VoLTE) uses Adaptive Multi-Rate Wideband (AMR-WB) for vocoder while LTE-Sim supports only G.729 codec for narrow band, thus, we propose to add AMR-WB codec into LTE-Sim software. The simulation results show that the proposed model can predict voice quality in LTE network via the WB E-model. The proposed model does not refer to the original signal, thus, it is very suitable for predicting voice quality in LTE network for many different scenarios which are configured in the LTE-Sim framework. The proposed model is very suitable for predicting VoLTE quality for transmission planning, and for researchers in Laboratory.

References

  1. 3GPP. Inband Tandem Free Operation (TFO) of speech codecs; Service description; Stage 3. TS 28.062, 3rd Generation Partnership Project (3GPP), 12 2009.
  2. 3GPP. Requirements for Evolved UTRA (E-UTRA) and Evolved UTRAN (E-UTRAN). TR 25.913, 3rd Generation Partnership Project (3GPP), 12 2009.
  3. 3rd Generation Partnership Project (3GPP). Available: http://www.3gpp.org.
  4. Pablo Ameigeiras, Jeroen Wigard, and Preben Mogensen. Performance of the m-lwdf scheduling algorithm for streaming services in hsdpa. In Vehicular technology conference, 2004. VTC2004-Fall. 2004 IEEE 60th, volume 2, pages 999–1003. IEEE, 2004.
  5. Haytham Assem, David Malone, Jonathan Dunne, and Pat O’Sullivan. Monitoring voip call quality using improved simplified e-model. In Computing, networking and communications (ICNC), 2013 international conference on, pages 927–931. IEEE, 2013.
  6. Leandro Carvalho, Edjair Mota, Regeane Aguiar, Ana F Lima, Anderson Barreto, et al. An e-model implementation for speech quality evaluation in voip systems. In null, pages 933–938. IEEE, 2005.
  7. Chen-Nee Chuah and Randy H Katz. Characterizing packet audio streams from internet multimedia applications. In Communications, 2002. ICC 2002. IEEE International Conference on, volume 2, pages 1199–1203. IEEE, 2002.
  8. Christopher Cox. An introduction to LTE: LTE, LTEadvanced, SAE and 4G mobile communications. John Wiley & Sons, 2012.
  9. Lijing Ding and Rafik A Goubran. Speech quality prediction in voip using the extended e-model. In Global Telecommunications Conference, 2003. GLOBECOM’03. IEEE, volume 7, pages 3974–3978. IEEE, 2003.
  10. Hang Nguyen Duy-Huy Nguyen. A dynamic rate adaptation algorithm using wb e-model for voice traffic over lte network. In Wireless days (WD), 2016 9th IFIP. IEEE, 2016.
  11. Tarik Ghalut and Hadi Larijani. Non-intrusive method for video quality prediction over lte using random neural networks (rnn). In Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on, pages 519–524. IEEE, 2014.
  12. Jonghwan Hyun, Jian Li, ChaeTae Im, Jae-Hyoung Yoo, and James Won-Ki Hong. A volte traffic classification method in lte network. In Network Operations and Management Symposium (APNOMS), 2014 16th Asia-Pacific, pages 1–6. IEEE, 2014.
  13. ITU-T. Itu-t recommendation p.800: Methods for subjective determination of transmission quality. Technical report, International Telecommunication Union, August 1996.
  14. ITU-T. Itu-t recommendation p.862.2:Wideband extension to recommendation p.862 for the assessment of wideband telephone networks and speech codecs. Technical report, International Telecommunication Union, November 2007.
  15. ITU-T. Itu-t recommendation g.107.1: Wideband e-model. Technical report, International Telecommunication Union, June 2015.
  16. Hadi Larijani and Kapilan Radhakrishnan. Voice quality in voip networks based on random neural networks. In Networks (ICN), 2010 Ninth International Conference on, pages 89–92. IEEE, 2010.
  17. The Mathworks, Inc., Natick, Massachusetts. MATLAB version 8.5.0.197613 (R2015a), 2015.
  18. Alimed Meddahi, H Afifl, and Djamal Zeghlache. ” packete- model”: e-model for wireless voip quality evaluation. In Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003. 14th IEEE Proceedings on, volume 3, pages 2421–2425. IEEE, 2003.
  19. Sebastian M¨oller, Alexander Raake, Nobuhiko Kitawaki, Akira Takahashi, and Marcel W¨altermann. Impairment factor framework for wide-band speech codecs. Audio, Speech, and Language Processing, IEEE Transactions on, 14(6):1969–1976, 2006.
  20. Cristian Olariu, Micheal O Foghlu, Philip Perry, and Liam Murphy. Voip quality monitoring in lte femtocells. In Integrated Network Management (IM), 2011 IFIP/IEEE International Symposium on, pages 501–508. IEEE, 2011.
  21. Giuseppe Piro, Luigi Alfredo Grieco, Gennaro Boggia, Francesco Capozzi, and Pietro Camarda. Simulating lte cellular systems: an open-source framework. Vehicular Technology, IEEE Transactions on, 60(2):498–513, 2011.
  22. Giuseppe Piro, Luigi Alfredo Grieco, Gennaro Boggia, Rossella Fortuna, and Pietro Camarda. Two-level downlink scheduling for real-time multimedia services in lte networks. Multimedia, IEEE Transactions on, 13(5):1052– 1065, 2011.
  23. Kapilan Radhakrishnan, Hadi Larijani, and Tom Buggy. A non-intrusive method to assess voice quality over internet. In Performance Evaluation of Computer and Telecommunication Systems (SPECTS), 2010 International Symposium on, pages 380–386. IEEE, 2010.
  24. ITUT Rec. G. 722.2 (2003) wideband coding of speech at around 16kbit/s using adaptive multi-rate wideband (amr-wb). International telecommunication union, Geneve, Switzerland, 2003.
  25. ITUT Rec. G. 107.1, wideband e-model. Int. Telecomm. Union, Geneva, 2011.
  26. M. Reisslein, L. Karam, and P. Seeling. H. 264/AVC and SVC Video Trace Library: A Quick Reference Guide http://trace. eas. asu. edu. 2009.
  27. Jong-Hun Rhee, Jack M Holtzman, and Dong-Ku Kim. Scheduling of real/non-real time services: adaptive exp/pf algorithm. In Vehicular Technology Conference, 2003. VTC 2003-Spring. The 57th IEEE Semiannual, volume 1, pages 462–466. IEEE, 2003.
  28. Akira Takahashi, Atsuko Kurashima, and Hideaki Yoshino. Objective assessment methodology for estimating conversational quality in voip. Audio, Speech, and Language Processing, IEEE Transactions on, 14(6):1984–1993, 2006.
  29. Agilent Technologies. Available:http://rfmw.em. keysight.com/rfcomms/refdocs/gsm/default. htm#gprsla_amr_bse_config.html#CBDDEBCD, May 2010.
  30. Agilent Technologies. Available:http://rfmw.em. keysight.com/rfcomms/refdocs/gsm/gprsla_wb_ amr_bse_config.html, May 2010.

Keywords

VoLTE, voice quality, LTE, Wideband E-model, MOS