Performance of WiMAX When Streaming Audio and Video Content

Presentation slides and final report (PDF files).

Abstract:
In this project we plan to study and analyze the performance of IEEE 802.16. WiMAX is an emerging broadband wireless communication standard used as a model of transmission and high speed Internet access. There are various advantages of WiMAX technology as it provides additional bandwidth, better QoS, better security, greater coverage, and has a lower infrastructure cost.

References:
[1] W. Hrudey and Lj. Trajkovic, "Streaming video content over IEEE 802.16/WiMAX broadband access," OPNETWORK 2008, Washington, DC, Aug. 2008.
[2] K. Alutaibi and Lj. Trajkovic, "Performance analysis of VoIP codecs over Wi-Fi and WiMAX networks," OPNETWORK 2012, Washington, DC, Aug. 2012.
[3] R. G. Cole and J. H. Rosenbluth, "Voice over IP performance monitoring", SIGCOMM Comput. Commun. Rev., vol. 31, no.2, pp. 9-24, Apr. 2001.
[4] Irma Syarlina Hj Che Ilias and Mohamad Sahimi Ibrahim, "Performance analysis of audio video codecs over Wi-Fi/WiMAX network," in Proc. 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014, ACM, New York, NY, USA, 2014.
[5] M. LaBrecque, WiMAX introduction [Online]. Available: http://www.wimaxforum. org/echnology/downloads (Feb. 2008).

Performance evaluation of mobile devices in Long Term Evolution (LTE) during handover

Presentation slides and final report (PDF files).

Abstract:
There are many factors affecting the performance of a mobile device known as UEs (user equipment) in modern mobile communication technology Long term evolution (LTE). Some of the factors includes the interface in which the a handover occurs, whether it happens in the x2 interface (eNodeBs - eNodeBs), S1 interface (eNodeB - MME); the QoS which is also known as QCI ( QoS class identifier) assigned to EPS (evolved packet system) bearers being serviced at the current eNodeBs; and the positioning and mobility of the UE and the handover algorithm used.

We are looking to explore any or a combination of these factors and how they affect performance in terms of throughput in either the UE or any of the nodes in the EPC (evolved packet core) and packet delay or packet loss in the UE.

References:
[1] S. Sesia and I. Toufik, LTE - The UMTS Long Term Evolution, 2nd ed. West Sussex, United Kingdom: Wiley, 2011
[2] H. S. Park and Y. S. Choi, "Taking advantage of multiple handover preparations to improve handover performance in LTE networks," in Proc. IEEE 2014 8th International Conference on Future Generation Communication Networking.
[3] A. Vizzarri "Analysis of VoLTE End-To-End Quality of Service using OPNET," in Proc. 2014 UKSim-AMSS 8th European Modelling Symposium.
[4] I. M. Balan, I. Moerman, B. Sas, and P. Demeester, "Signalling minimizing handover parameter optimization algorithm for LTE networks," Wireless Networks, April 2012, vol. 18, no. 3, pp. 295-306.
[5] S. Trabelsi, A. Belghith and F. Zarai, "Performance evaluation of a decoupled-level Qos-Aware downlink scheduling algorithm for LTE networks," in 2015 IEEE International Conference on Data Science and Data Intensive Systems"

Performance analysis of LTE when Streaming Audio and Video Content

Presentation slides and final report (PDF files).

Abstract:
Long term evolution (LTE) has earned a rapid rise in popularity over the last few years principally due its support to high data rate, low latency with all IP networks and its capability to provide high quality multimedia services. In this project we investigate the potentials and limitations of LTE technology as a communication media for streaming audio and video content. We study the effectiveness of the LTE standard to handle applications requirements in terms of packet loss rate, packet delay, delay jitter and throughput with various design parameters using OPNET Modeler 18.0.

References:
[1] K.Andersson, S.A.Mostafa, R.Ui-Islam, "Mobile VoIP User Experience in LTE," 36th IEEE Conference on Local Computer Networks (LCN), Oct.2011, pp.785-788.
[2] K. Manolakis, A. Ibing, and V. Jungnickel, "Performance evaluation of a 3GPP LTE terminal receiver," in Proc. of the 14th European Wireless Conference (EW '08), Prague, Czech Republic, June 2008, pp. 1-5.
[3] M. Torad, A.E. Qassas and H.A. Henawi, "Comparison between LTE and WiMAX based on System Level Simulation Using OPNET modeler," 28th National Radio Science Conference, Apr. 2011, pp. 1-9.
[4] A. Zakrzewska, M. S. Berger, and S. Ruepp, "Modeling Multistandard Wireless Networks in OPNET," OPNETWORK, Washington, DC, USA, Aug. 2011, pp. 1-5.
[5] Q. Qiu, J. Chen, L. Ping, Q. Zhang, and X. Pan, "LTE/SAE model and its implementation in NS2," in Proc. 5th IEEE International Conf. on Mobile Ad-hoc and Sensor Networks, Fujiyan, China, Dec. 2009, pp. 299-303.

Efficient Handover Implementation for LTE based Femto-cell Environment

Presentation slides and final report (PDF files).

Abstract:
Femtocells are indoor base stations usually deployed to extend network coverage. Femtocells are increasingly popular due to its low cost and power requirements. The coverage area of femtocells are usually small, as such subscribers experience frequent handovers affecting the quality of service and causing network congestion. Our approach is to reduce the signalling overhead by implementation of the fast handover algorithm.

References:
[1] U. Dampage and C. Wavegedara, "A low-latency and energy efficient forward handover scheme for LTE-femtocell networks," 2013 IEEE 8th International Conference on Industrial and Information Systems, 2013.
[2] C. Lee and J. Kim, "System Information Acquisition Schemes for Fast Scanning of Femtocells in 3GPP LTE Networks," IEEE Communications Letters, vol. 17, no. 1, pp. 131-134, 2013.
[3] A. Rath and S. Panwar, "Fast handover in cellular networks with femtocells," 2012 IEEE International Conference on Communications (ICC), 2012.
[4] I. Shayea, M. Ismail and R. Nordin, "Advanced handover techniques in LTE- Advanced system," 2012 International Conference on Computer and Communication Engineering (ICCCE), 2012.
[5] M. Lee and S. K. Oh, "Fast handover scheme using handover notification with no acknowledgement," 2011 IEEE MTT-S International Microwave Workshop Series on Intelligent Radio for Future Personal Terminals, 2011.

Peer-to-Peer LTE Traffic Performance During Cell Crossover

Presentation slides and final report (PDF files).

Abstract:
For our project we propose to build a model using ns2 or ns3 and study peer-to-peer traffic over LTE. We will use our model to investigate network performance for a VoIP call between two mobile users as the users move between cellular regions. One user (node 1) sends the signal over LTE to the nearest base station. This base station routes the data packets to the nearest base station on the other user’s cellular network. The second base station broadcasts the signal to the second user (node 2). The nearest base stations for each user change over the duration of their call.

References:
[1] Jason B. Ernst, Stefan C. Kremer, Joel J. P. C. Rodrigues, “A Wi-Fi simulation model which supports channel scanning across multiple non-overlapping channels in NS3,” 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, Victoria, Canada, May 2014.
[2] G. Piro, N. Baldo. M. Miozzo, “An LTE module for the ns-3 network simulator”, in Proc. of Wns3 2011 (in conjunction with SimuTOOLS 2011), March 2011, Barcelona (Spain)
[3] J.C. Ikuno, M. Wrulich, M. Rupp, “System Level Simulation of LTE Networks,” Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st , vol., no., pp.1-5, 16-19 May 2010
[4] N. Baldo, M. Requena, M. Miozzo, R. Kwan, "An open source model for the simulation of LTE handover scenarios and algorithms in ns-3", Proceedings of the 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, 3-8 November 2013
[5] http://www.sfu.ca/~lchor/Ensc%20427/427%20Presentation%20update.pdf
[6] http://waset.org/publications/7491/modeling-and-performance-evaluation-of-lte-networks-with-different-tcp-variants
[7] http://www.diva-portal.org/smash/get/diva2:831593/FULLTEXT01.pdf

Simulation and Performance analysis of WiMAX and Wi-Fi while streaming Audio and Video content

Presentation slides and final report (PDF files).

Abstract:
WiMAX (Worldwide Interoperatability for Microwave Access) is an IEEE 802.16 standard wireless technology used to provide very high data rate over large areas to a large number of users where broadband is unavailable. Wi-Fi (Wireless Fidelity) is based on the IEEE 802.11 standard. WiMAX and Wi-Fi are quite similar to each other on infrastructure level but speed and distance are main differentiating factors. WiMAX network operators provide WiMAX subscriber units that enable connection to metropolitan WiMAX network while Wi-Fi units are used for connecting local devices within homes or offices. In this project we will use Riverbed Modeler to simulate and compare the performance of WiMAX and Wi-Fi while streaming Audio and Video content in a small area network.

A handover algorithm for WiMAX network

Presentation slides and final report (PDF files).

Abstract:
WiMAX (Worldwide Interoperability for Microwave Access) is a newly-developing technology which enables high speed connection with a wide range. Handover is a significant factor to evaluate the performance of a WiMAX network and it occurs when a Mobile Station (MS) moves from one Base Station (BS) to another. A number of handover algorithms have been proposed and applied recently. In this project, the algorithm named Dual-Trigger Handover Algorithm (DTHO) will be studied and implemented first. Signal to noise ratio (SNR) and free capacity of the target BS have been considered in the DTHO algorithm. Furthermore, we enhance the DTHO algorithm by combining one of the existing developed schemes. The algorithm will be implemented utilizing Riverbed Modeler 18.0.

References:
[1] N. Al-Rousan, O. Altrad, and Lj. Trajkovic, "Dual-trigger handover algorithm for WiMAX technology," OPNETWORK 2011, Washington, DC, Aug. 2011
[2] B. G. Lee and S. Choi, Broadband Wireless Access and Local Networks: Mobile WiMAX and WiFi. Boston, London: Artech House, 2007.
[3] C. Tarhini and T. Chahed, “On capacity of OFDMA-based IEEE802.16 WiMAX including adaptive modulation and coding (AMC) and inter-cell interference,” in Proc. 15th IEEE Workshop on Local and Metropolitan Area Networks, LANMAN, Evry, France, June 2007, pp. 139–144.
[4] A. B. Pontes, D. D. P. Silva, J. Jailton, O. Rodrigues, and K. L. Dias, "andover Management in Integrated WLAN and Mobile WiMAX Networks," IEEE Wireless Communications, vol.15, no.5, Oct. 2008, pp. 86–-95.
[5] D. H. Lee, K. Kyamakya, J. P. Umondi, "Fast Handover Algorithm for IEEE 802.16e Broadband Wireless Access System, " in Proc. 1st International Symposium on Wireless Pervasive Computing, Phuket, Thailand, 16-18 Jan. 2006.

Performance analysis of QoS-Oriented Distributed Routing Protocols for Wireless Networks using NS-2.35

Presentation slides and final report (PDF files).

Abstract:
Wireless technologies are becoming an essential part of our daily life. These technologies are expected to provide a wide variety of real-time applications; hence, there is a vital need to provide quality-of Service (QoS) support.The emergence and the envisioned future of real time and multimedia applications have stimulated the need of high Quality of Service (QoS) support in wireless and mobile networking environments.In this project I will be simulating the Enhanced AODV(AD-HOC On-demand distance vector routing) and QoS-Oriented Distributed routing protocol (QOD) and comparing their performance on the based of different parameters such as throughput and transmission delay.

References:
[1].Li, Z., & Shen, H. (2014). A QoS-oriented distributed routing protocol for hybrid wireless networks. Mobile Computing, IEEE Transactions on, 13(3), 693-708.
[2]Ben-Othman, J., & Yahya, B. (2010). Energy efficient and QoS based routing protocol for wireless sensor networks. Journal of Parallel and Distributed Computing, 70(8), 849-857.
[3]Rubin, I., Behzad, A., Ju, H. J., Zhang, R., Huang, X., Liu, Y., & Khalaf, R. (2004, September). Ad hoc wireless networks with mobile backbones. InPersonal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on (Vol. 1, pp. 566-573). IEEE.\
[4]Sumathi, R., & Srinivas, M. G. (2012). A survey of QoS based routing protocols for wireless sensor networks. Journal of Information Processing Systems, 8(4), 589-602.
[5].Pei, G., Gerla, M., Hong, X., & Chiang, C. C. (1999). A wireless hierarchical routing protocol with group mobility. In Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE (pp. 1538-1542). IEEE.