Performance Evaluation of WiMAX Networks with Mobility in Metropolitan Area Network

Presentation slides and final report (PDF files).

Abstract:
WiMAX is a wireless standard developed to provide last mile connectivity to devices in metropolitan area while supporting data rates of around 75Mbps. WiMAX uses a combination of contention and scheduling techniques to manage access to the air interface. In our project, we plan to use OPNET Modeller to simulate a WiMAX (802.16) Metropolitan Area Network and compare fixed nodes with mobile ones for two cases i.e. when the distance from the base station is increasing (linear path) and when the distance from the base station is kept constant (circular topology). Doing so, we evaluate performance metrics like but not limited to Delay, Throughput and Jitter to support our results.

References:
[1] IEEE 802.16 Working Group, .IEEE Standard for Local and Metropolitan Area Networks, Part 16: Air Interface for Fixed Broadband Wireless Access Systems,. IEEE Standard 802.16- 2004, October 2004.
[2] A. Ghosh, D. R. Wolter, J. G. Andrews, C. Runhua, .Broadband wireless access with WiMax/802.16: current performance benchmarks and future potential,. IEEE Communications Magazine, vol. 43, no. 2, pp. 129.136, Feb. 2005.
[3] K. Dietze, T. Hicks, and G. Leon, WiMAX System Performance Studies (white paper by EDX Wireless), http://www.edx.com/files/WiMaxPaperv1.pdf [Accessed Jan 28 2014]
[4] K. Etemad, . Overview of mobile WiMAX technology and evolution,.IEEE Communications Magazine, vol. 46, no. 10, pp. 31.40, 2008.
[5] Z. Lu and H. Yang, Unlocking the Power of OPNET Modeler. Cambridge: Cambridge University Press, 2012, pp 143 -150.

Analysis of Enhanced Distributed Channel Access in Wireless Local Area Network using OPNET

Presentation slides and final report (PDF files).

Abstract:
Wireless local area networking (WLAN) has experienced tremendous growth over the last decade with the proliferation of IEEE 802.11 devices. Every day thousands of devices are made which are compatible with the 802.11. Such interoperability of different vendor.s devices is ensured by Wi-FI Alliance (WFA). Over the years WLAN has achieved good improvement in throughput at PHY layer due to introduction of 802.11b, 802.11g, 802.11n and 802.11a standards. At the Data link layer the technology has been the same protocol Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) which allows half duplex communication between nodes sharing the license-free channels equally. CSMA/CA lacks in capability when we want end-to-end QoS architecture of the existing wired network. In order to incorporate existing wired LANs QoS infrastructure in wireless LANs, .Enhanced Distributed Channel Access (EDCA). is introduced in amendment 802.11e which ensures the desired order of preference for channel access to the applications as it is in wired LANs.

In this project we create a simulation model in OPNET of the enterprise access network. The connectivity of the end nodes are dependent on wireless media. We observe the influence of quality of service (QoS) of wired LAN and then WLANs by enabling EDCA. We observe response of different applications in CSMA/CA based equal opportunity channel access mode and in EDCA enabled mode of preference based channel access.

References:
[1] K. Alutaibi and Lj. Trajkovic, "Performance analysis of VoIP codecs over Wi-Fi and WiMAX networks," OPNETWORK 2012, Washington, DC, Aug. 2012.
[2] C. Powell, .An Enhanced Distributed Channel Access Deficit Round-Robin Scheme for IEEE 802.11E Wireless Network,. UBC Retrospective Theses Digitization Project, University of British Columbia, Vancouver, BC, 2004.
[3] F. Peng, B. Peng, and D. Qian, .Performance analysis of IEEE 802.11e enhanced distributed channel access,. Communications, IET, vol. 4, no. 9, pp. 728.738, Apr. 2010.
[4] J. Misic, R. Saeed, and B. Misic, . Analysis of impact of TXOP allocation on IEEE 802.11e EDCA under variable network load,. IEEE Transaction on Parallel and Distributed Systems, vol. 23, no. 5, pp. 785-799, May 2012.
[5] X. Dongxia Xu, T. Sakurai, and H. L. Vu, .An access delay model for IEEE 802.11e EDCA,. IEEE Computer Society, vol. 8 no. 2 pp. 261-275, Feb. 2009.

Performance analysis of IPTV over Fixed WiMAX

Presentation slides and final report (PDF files).

Abstract:
IEEE specifies different modulation techniques for WiMAX; namely, BPSK, QPSK, 16 QAM and 64 QAM. This model will analyze the performance of Internet Protocol Television (IPTV) over Fixed WiMAX system considering various combinations of digital modulation. The performance will include a number of key system parameters, which will include the variation in the video coding, path-loss, scheduling service classes different rated codes in FEC channel coding. The performance study will be conducted using OPNET simulation. The performance will be studied in terms of packet lost, packet jitter delay, network throughput, and end-to-end delay. Using simulation results the performance will be measured and analyzed.

References:
[1] K. Ain , M. S. R. Tarafder, S. A. Khan, and M. L. Ali, .Path Loss Compensation Technique for WiMAX Technology Based Communication System,. International Journal of Engineering Science and Technology, 2011, vol.3, no.9, pp.7226-7233, 2011.
[2] I. Uilecan, C. Zhou, and G. Atkin, .Framework for Delivering IPTV Services over WiMAX Wireless Network,. Proceedings of IEEE EIT 2007, Chicago, IL, May 2007, pp. 470.475.
[3] J. She, F. Hou, P. H. Ho, and L. L. Xie, .IPTV over WiMAX: Key Success Factors, Challenges, and Solutions,. IEEE Communication Magazine 2007, vol.45, no.8, pp. 87- 93, 2007.
[4] J. Hamodi, R. Thool, .Investigate the performance evaluation of IPTV over WiMAX networks,. International Journal of Computer Networks & Communications (IJCNC) 2013, vol. 5, no.1, pp. 81-95, 2013.
[5] R. Gill, T. Farah, and Lj. Trajkovic, . Comparison of WiMAX and ADSL Performance when Streaming Audio and Video Content,. OPNETWORK 2011, Washington, DC, Aug. 2011.

SDP Implementation in MANET using OPNET Modeler 17.5

Presentation slides and final report (PDF files).

Abstract:
Mobile Ad-hoc Networks also called MANETs is an infrastructure-less dynamic network with mobile nodes moving at random. The nodes move at random and communicate with nearby nodes at random. The very nature of MANETs introduces many challenges. It can.t be said definitely that all the members of network remain connected at all times. SDP (the Service Distribution Protocol for MANETS) [1] has been introduced as an approach with many innovative mechanisms to increase the mobile service availability. SDP can achieve a very efficient service distribution of the generated replicas over the MANET. In this project we analyse the SDP Implementation using OPNET Modeler 17.5 and verify our results.

References:
[1] Mohamed Hamdy and Birgitta König-Ries. Book of Communications in Computer and Information Science, Book of the selected papers of the ICETE 2008, volume 48 of CCIS 48, chapter: The Service Distribution Protocol for MANETs- Criteria and Performance Analysis, pages 467-479. Springer Berlin Heidelberg, 2009.
[2] Mohamed Hamdy and Birgitta König-Ries, "Service Availability, Success Ratio, Prevalence, Replica Allocation Correctness, Replication Degree, and Effects of Different Replication/Hibernation Behaviour Effects of the Service Distribution Protocol for Mobile Ad Hoc Networks -A Detailed Study-," JENAER SCHRIFTEN ZUR MATHEMATIK UND INFORMATIK, Technical Report: Math/Inf/08/08, Friedrich-Schiller- University Jena, December 2008.
[3] Dipanjan Chakraborty, Anupam Joshi, Yelena Yesha, Tim Finin, "A Novel Group-based Service Discovery Protocol for MANETS," University of Mearyland, Baltimore County.
[4] Chen et al, .A Dynamic Execution Path Selection Approach for Composite Services in MANETs,. The 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 08), Chengdu, China, 2008.
[5] Ebtisam Amar and Selma Boumerdassi. A location service for position based routing in mobile ad hoc networks. In Proceedings of the 8th international conference on new technologies in distributed systems (NOTERE 08), pages 1-4, New York, NY, USA, 2008. ACM.
[6] Zheng Lu, University of Essex and Hongji Yang, De Montfort University, Leicester, . Unlocking the power of OPNET Modeler., pages 11-20, Cambridge, Feb 2012.

Simulation of General Packet Radio Service (GPRS) Network

Presentation slides and final report (PDF files).

Abstract:
In this report, we will upgrade an existing OPNET GPRS model to OPNET v 16.0.A. The model captures the signaling and transmission behavior of the GPRS network. The enhancements to the existing model are the implementations of the Logical Link Control (LLC) layer, the Base Station Subsystem (BSS), and the cell update procedure. We first present an overview of the GPRS network, the LLC layer, and the existing OPNET model. We first discuss about the different GPRS models developed, we then address the difference between these models and their implementations in OPNET. The debugging facilities that OPNET Modeler provides are of two levels- object level debugging and Source level debugging. Source level debugger like CDB (Microsoft console Debugger), MSVC (Microsoft Visual C++ Debugger) and GDB (GNU Project Debugger). We will use these debuggers to resolve the conflict involved in dependencies while upgrading an OPNET model from lower version to higher version. Simulation results are compared and discussed between the lower and higher version OPNET model.

References:
1. Ricky Ng, Ljiljana Trajkovic, "Simulation of General Packet Radio Service Network", OPNETWORK 2002, Washington, DC, Aug.2002
2. M. Omeueti, R. Narayanan, and Lj. Trajkovic, .Effect of cell update on performance of General Packet Radio Service,. OPNETWORK 2006, Washington, DC, Aug. 2006.
3. R. Narayanan, P. Chan, M. Johansson, F. Zimmermann, and Lj. Trajkovic, . Enhanced General Packet Radion Service OPNET model, . OPNETWORK 2004, Washington, DC, Aug 2004.
4. V. Vukadinovic and Lj. Trajkovic, .OPNET implantation of the Mobile Application Part protocol, .OPNETWORK 2003, Washington, DC, Aug. 2003.
5. http://www2.ensc.sfu.ca/~ljilja/papers/opnetwork04_renju.pdf Last Accessed: March 9, 2014