Open Access Open Access  Restricted Access Subscription Access

Performance Comparison between LTE and WiMAX Based on Link Level Simulation


Affiliations
1 Electrical Department, Higher Technological Institute, Egypt
2 Computers and Systems Department, Al Azhar University, Egypt
3 Communication and Electronics Department, Zagazig University, Egypt
 

This article presents a framework for performance comparison between Long Term Evolution (LTE) and WiMAX technologies, depended on link level simulation, under different conditions (e.g. a mixture of channel models and modulation coding schemes (MCS)). Two performance metrics have been used: throughput against SNR for both downlink (DL) and uplink (UL) and block error rate (BLER) against SNR for both DL and UL. Simulation results, conducted in network simulator OPNET Modeler ver. 17.1, show that the throughput and the BLER increases as the MCS increase (i.e. MCS=5, 15, 24).

Keywords

LTE, WiMAX, OPNET Modeler ver. 17.1, DL-BLER, UL-BLER, MCS, DL-SNR, UL-SNR, Throughput.
User
Notifications
Font Size

  • Thomas Kürner“LTE link level performance evaluation using stochastic channelmodels for V2X communication”, IEEE Vehicular Networking Conference (VNC), 16-18 Dec. 2015.
  • Priya Goyal, Avtar Singh Buttar“A Study on 5G Evolution and Revolution” International Journal of Computer Networks and Applications (IJCNA), Volume 2, Issue 2, March – April (2015).
  • Harry Holma and AnttiToskala, “LTE for UMTS Evolution to LTE advanced, second edition” john wily and sons, Ltd., 2014.
  • http://www.opnet.com (opnet modeler release 17.1).
  • Christian Mehlfuhrer, Josep Colom Ikuno, Michal Simko, Stefan Schwarz, Martin Wrulich and Markus Rupp, The Vienna LTE simulators – Enabling reproducibility in wireless communications research.
  • Vienna LTE Simulators Link Level Simulator Documentation, v1.6r91, Institute of Communications and Radio-Frequency Engineering Vienna
  • http://IS-wireless.com/products/lte-lab
  • http://IS-wireless.com/products/wimax-lab
  • Pablo Ameigeiras1, Yuanye Wang2, Jorge Navarro-Ortiz1, Preben E Mogensen2,3 and Juan M Lopez-Soler, Traffic models impact on OFDMA scheduling Design, http://jwcn.eurasipjournals.com/content/2012/1/61
  • Mahmood Adnan, Hushairi Zen, Al-Khalid Othman “Vertical Handover Decision Processes for Fourth Generation Heterogeneous Wireless Networks “ Asian Journal of Applied Sciences, Volume 01 – Issue 05, December 2013.
  • Kiran Gowda H N, Kusuma M, Udaya Kumar C, “A Comprehensive Study on 4G Broadband Networks: WiMAX and LTE” International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 9, September 2013.
  • IsmatAldmour “LTE and WiMAX: Comparison and Future Perspective “, Communications and Network, 2013, 5, 360-368
  • Torad, Mohammed, Ahmed El Qassas, and Hadia Al Henawi. "Comparison between LTE and WiMAX based on system level simulation using OPNET modeler (release 16)", 2011 28th National Radio Science Conference (NRSC), 2011.
  • Carsten Ball, Thomas Hindelang, Iavor Kambourov, Sven Eder , “Spectral Efficiency Assessment and Radio Performance Comparison between LTE and WiMAX” 2008
  • Joswill Victor, Pajaro Rodriguez, Amir Esmailpour, “Integrated QoS provisioning for unified LTE-WiMAX networks”, International Conference on Computing, Networking and Communications (ICNC), 2016.
  • Yi-Bing Lin, Pin-Jen Lin, Yuan-Kai Chen, Whai-En Chen, Nabil Alrajeh, Bao-Shuh Paul Lin, Chai-Hien Gan, “Performance Measurements Of Td-Lte, Wimax And 3g Systems”, IEEE Wireless Communications • June 2013
  • 3GPP TR 36.913, “Requirements for Further Advancements for E-UTRA,” v.14.0.0, March 2017.
  • M. Pavithra, “Long Term Evolution Simulator - A Survey” Indian Journal of Science and Technology, Vol 9(48), December 2016 [19] 3GPP TS 36.213, “Physical layer procedures,” V14.3.0, July 2017.
  • 3GPP TS 36.201, “Long Term Evolution physical layer; General description,” v.14.1.0, March 2017.
  • IEEE STD 802-2014 “IEEE Standard for Local and Metropolitan Area Networks: Overview and Architecture”
  • Temitope O. Takpor and Francis E. Idachaba “Analysis and Simulation of LTE Downlink and Uplink Transceiver”, Proceedings of the World Congress on Engineering 2014 Vol I, WCE 2014, July 2 - 4, 2014, London, U.K.
  • S Vançin, E Erdem "Design and Simulation of Wireless Sensor Network Topologies Using the ZigBee Standard" International Journal of Computer Networks and Applications (IJCNA) 2.3 (2015): 135-143.
  • Gurvinder Singh Dhaliwal,Gagandeep Singh, Sumit Kumar “A Survey on Versions of TCP over WiMAX”, International Journal of Emerging Research in Management &Technology, February 2015.
  • Shuang Song and Biju Issac “Analysis Of WiFi And WiMAX And Wireless Network Coexistence” International Journal of Computer Networks & Communications(IJCNC) Vol.6, No.6, November 2014
  • Moray Rumney,” LTE and the evolution to 4G wireless” John Wiley & sons Ltd., July 2013.
  • Hung-Yu Wei, "WiFi, WiMAX and LTE Multi-hop Mesh Networks: Basic Communication Protocols and Application Areas" 2013.

Abstract Views: 256

PDF Views: 0




  • Performance Comparison between LTE and WiMAX Based on Link Level Simulation

Abstract Views: 256  |  PDF Views: 0

Authors

Maha Hamdy Noshy
Electrical Department, Higher Technological Institute, Egypt
Sayed A. Nouh
Computers and Systems Department, Al Azhar University, Egypt
Adel Zaghloul Mahmoud
Communication and Electronics Department, Zagazig University, Egypt

Abstract


This article presents a framework for performance comparison between Long Term Evolution (LTE) and WiMAX technologies, depended on link level simulation, under different conditions (e.g. a mixture of channel models and modulation coding schemes (MCS)). Two performance metrics have been used: throughput against SNR for both downlink (DL) and uplink (UL) and block error rate (BLER) against SNR for both DL and UL. Simulation results, conducted in network simulator OPNET Modeler ver. 17.1, show that the throughput and the BLER increases as the MCS increase (i.e. MCS=5, 15, 24).

Keywords


LTE, WiMAX, OPNET Modeler ver. 17.1, DL-BLER, UL-BLER, MCS, DL-SNR, UL-SNR, Throughput.

References