Performance analysis of VoIP over 3G and 4G LTE network

Wireless mobile telecommunication has evolved from the Third Generation (3G) to Fourth Generation (4G) network. Mobile WiMAX and Long Term Evolution are the first two platforms preferred by Telco's to offer network services for customers for profit making and Voice of Internet Protocol (VOIP). VOIP is an online streaming method to deliver voice communication that applied by organization for conference call or voice operation purposes. This paper presents the comparison analysis on 3G and 4G of VoIP network performance. Standard Quality Management Scale recommended by ITU-T P.862 is used for the measurement analysis. A test bed experiments on voice Skype application is done and data is collected. The traffic is analyzed using Jperf software to display the network performance and measurement which is tested in 30 second per session. Result presents performance of bandwidth availability, jitter performance, latency, VoIP, and current LTE4G analysis versus previous WiMAX 4G. It is identified that an average rating of 4 for both 3G and 4G LTE network. This shows performance of the VoIP is achieved. Three elements which are bandwidth, latency and jitter need to be in a good order to get a good connectivity for both connections.

[1]  M. Ibrahim,et al.  Performance measurement of VoIP over WiMAX 4G network , 2012, 2012 IEEE 8th International Colloquium on Signal Processing and its Applications.

[2]  Muhammad Zunnurain Hussain,et al.  Collective Study On Security Threats In VOIP Networks , 2017 .

[3]  Anang Hudaya Muhamad Amin.  VOIP PERFORMANCE MEASUREMENT USING QoS PARAMETERS , 2005 .

[4]  M. Kassim,et al.  Web-based student attendance system using RFID technology , 2012, 2012 IEEE Control and System Graduate Research Colloquium.

[5]  Keng Siau,et al.  Mobile Commerce: Promises, Challenges and Research Agenda , 2001, J. Database Manag..

[6]  Mahamod Ismail,et al.  Video traffic modeling using Kolmogorov Smirnov analysis in Broadband Network , 2016 .

[7]  Mahamod Ismail,et al.  Statistical analysis and modeling of internet traffic IP-based network for tele-traffic engineering , 2015 .

[8]  Graham C. Goodwin,et al.  Improving the performance of cellular uplinks via power overbooking , 2017, IET Commun..

[9]  Ari Lakaniemi,et al.  Subjective VoIP speech quality evaluation based on network measurements , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[10]  Lin Jun.  Current Situation and Development Trend of Mobile Communication Systems , 2018 .

[11]  Zia Ur Rahman,et al.  The Future of Wireless Technologies: The shift of Paradigm , 2017 .

[12]  Abas Md Said,et al.  A Voice Priority Queue (VPQ) Fair Scheduler for the VoIP over WLANs , 2011 .

[13]  Rosdiadee Nordin,et al.  On the Performance of the Current MANET Routing Protocols for VoIP, HTTP, and FTP Applications , 2014, J. Comput. Networks Commun..

[14]  M. Ismail,et al.  Bandwidth gain analysis for HTTP and HTTPs traffic on IP based network , 2012, 2012 IEEE Symposium on Wireless Technology and Applications (ISWTA).

[15]  Murizah Kassim,et al.  Performance analysis of routing protocol in WiMAX network , 2011, 2011 IEEE International Conference on System Engineering and Technology.

[16]  B. Goode,et al.  Voice over Internet protocol (VoIP) , 2002, Proc. IEEE.

[17]  Feng Qian,et al.  Screen-off traffic characterization and optimization in 3G/4G networks , 2012, Internet Measurement Conference.

[18]  Mohammad Ilyas,et al.  VoIP Handbook: Applications, Technologies, Reliability, and Security , 2008 .

[19]  Jun Lin,et al.  Current Situation and Development Trend of Mobile Communication Systems , 2017 .

[20]  Efraim Turban,et al.  Mobile Commerce and the Internet of Things , 2017 .

[21]  Ayman Mostafa,et al.  AMR Call Quality Measurement Based on ITU-T P.862.1 PESQ-LQO , 2006, IEEE Vehicular Technology Conference.