Capacity Enhancement Of Cellular Network Using Wifi Offloading

The growing popularity of bandwidth-intensive applications as well as the proliferation of mobile devices in Malaysia has resulted in the accelerated growth of mobile data traffic or also known as the mobile data explosion phenomena. Hence, cellular network providers are struggling to keep pace in p...

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Main Author:	Ab. Wahab, Nazdiana
Format:	Thesis
Language:	English English
Published:	2019
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/25406/1/Capacity%20Enhancement%20Of%20Cellular%20Network%20Using%20Wifi%20Offloading.pdf http://eprints.utem.edu.my/id/eprint/25406/2/Capacity%20Enhancement%20Of%20Cellular%20Network%20Using%20Wifi%20Offloading.pdf
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id	my-utem-ep.25406
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Md Isa, Azmi Awang
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Ab. Wahab, Nazdiana Capacity Enhancement Of Cellular Network Using Wifi Offloading
description	The growing popularity of bandwidth-intensive applications as well as the proliferation of mobile devices in Malaysia has resulted in the accelerated growth of mobile data traffic or also known as the mobile data explosion phenomena. Hence, cellular network providers are struggling to keep pace in providing the demand of network capacity. Since the deployment of WiFi hotspot apparently is more cost-effective than upgrading the network infrastructure, WiFi offloading approach is an alternative that offers the most feasible solution to support cellular networks. This thesis developed a quantitative study on the performance of mobile data offloading through WiFi networks. 100 Android users from various backgrounds were recruited, and a real-time statistics of user’s WiFi utilization were collected for 18 days of measurement study using a customized application development. WiFi offloading performance parameters such as temporal and spatial coverage has been studied in depth by conducting a meticulous demographic analysis using few developed algorithms. Findings reported only about 16% WiFi temporal coverage across all users, which reveals that users approximately utilize an average of 4 hours WiFi daily, and indicates higher utilization for student compared to a public group. The acquired whole-day traces also indicates WiFi coverage distribution through spatial coverage analysis which shows dense coverage distribution at residential area, especially between 1400 to 2300 hour. On the other hand, the study also takes into consideration the user’s associated WiFi network performance parameters, that reveals low packet loss and moderately skewed throughput analysis. In addition, an analytical study on a single server using Markovian model has been deployed to observe the impact of WiFi offloading on cellular network capacity. In the case of without WiFi offloading deployment, the queue behaviour demonstrates higher traffic intensities when customer arrival rate is high, and therefore decrease cellular network capacity, and vice versa. To the best of our knowledge, this is the first measurement study that carried out a real data trace of user’s daily WiFi offloading in the context of Malaysian cellular network subscriber. It shows that WiFi offloading approach has a positive prospect in augmenting the cellular network as well as providing new insights for network planning, policy or creative price plans.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ab. Wahab, Nazdiana
author_facet	Ab. Wahab, Nazdiana
author_sort	Ab. Wahab, Nazdiana
title	Capacity Enhancement Of Cellular Network Using Wifi Offloading
title_short	Capacity Enhancement Of Cellular Network Using Wifi Offloading
title_full	Capacity Enhancement Of Cellular Network Using Wifi Offloading
title_fullStr	Capacity Enhancement Of Cellular Network Using Wifi Offloading
title_full_unstemmed	Capacity Enhancement Of Cellular Network Using Wifi Offloading
title_sort	capacity enhancement of cellular network using wifi offloading
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Electronics and Computer Engineering
publishDate	2019
url	http://eprints.utem.edu.my/id/eprint/25406/1/Capacity%20Enhancement%20Of%20Cellular%20Network%20Using%20Wifi%20Offloading.pdf http://eprints.utem.edu.my/id/eprint/25406/2/Capacity%20Enhancement%20Of%20Cellular%20Network%20Using%20Wifi%20Offloading.pdf
_version_	1747834120490188800
spelling	my-utem-ep.254062021-12-07T16:28:24Z Capacity Enhancement Of Cellular Network Using Wifi Offloading 2019 Ab. Wahab, Nazdiana T Technology (General) TK Electrical engineering. Electronics Nuclear engineering The growing popularity of bandwidth-intensive applications as well as the proliferation of mobile devices in Malaysia has resulted in the accelerated growth of mobile data traffic or also known as the mobile data explosion phenomena. Hence, cellular network providers are struggling to keep pace in providing the demand of network capacity. Since the deployment of WiFi hotspot apparently is more cost-effective than upgrading the network infrastructure, WiFi offloading approach is an alternative that offers the most feasible solution to support cellular networks. This thesis developed a quantitative study on the performance of mobile data offloading through WiFi networks. 100 Android users from various backgrounds were recruited, and a real-time statistics of user’s WiFi utilization were collected for 18 days of measurement study using a customized application development. WiFi offloading performance parameters such as temporal and spatial coverage has been studied in depth by conducting a meticulous demographic analysis using few developed algorithms. Findings reported only about 16% WiFi temporal coverage across all users, which reveals that users approximately utilize an average of 4 hours WiFi daily, and indicates higher utilization for student compared to a public group. The acquired whole-day traces also indicates WiFi coverage distribution through spatial coverage analysis which shows dense coverage distribution at residential area, especially between 1400 to 2300 hour. On the other hand, the study also takes into consideration the user’s associated WiFi network performance parameters, that reveals low packet loss and moderately skewed throughput analysis. In addition, an analytical study on a single server using Markovian model has been deployed to observe the impact of WiFi offloading on cellular network capacity. In the case of without WiFi offloading deployment, the queue behaviour demonstrates higher traffic intensities when customer arrival rate is high, and therefore decrease cellular network capacity, and vice versa. To the best of our knowledge, this is the first measurement study that carried out a real data trace of user’s daily WiFi offloading in the context of Malaysian cellular network subscriber. It shows that WiFi offloading approach has a positive prospect in augmenting the cellular network as well as providing new insights for network planning, policy or creative price plans. 2019 Thesis http://eprints.utem.edu.my/id/eprint/25406/ http://eprints.utem.edu.my/id/eprint/25406/1/Capacity%20Enhancement%20Of%20Cellular%20Network%20Using%20Wifi%20Offloading.pdf text en public http://eprints.utem.edu.my/id/eprint/25406/2/Capacity%20Enhancement%20Of%20Cellular%20Network%20Using%20Wifi%20Offloading.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119778 phd doctoral Universiti Teknikal Malaysia Melaka Faculty of Electronics and Computer Engineering Md Isa, Azmi Awang 1. Balasubramanian, A., Mahajan, R., and Venkataramani, A., 2010. Augmenting Mobile 3G using WiFi. ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), pp. 209-222. 2. Cheng, N., Lu, N., Zhang, N., Shen, X. S., and Mark, J. W., 2016. Opportunistic WiFi Offloading in Vehicular Environment: A Game-Theory Approach. IEEE Transactions on Intelligent Transportation Systems, 17(7), pp. 1944–1955. 3. Cheung, M. H., Southwell, R. and Huang, J., 2014. Congestion-Aware Network Selection and Data Offloading. 48th Annual Conference on Information Science and Systems, pp. 1-6. 4. Cisco Visual Networking Index, 2017. Cisco Visual Networking Index: Global Mobile Data Trace Forecast Update. [online] Available at: https://www.cisco.com/c/en/ us/solutions/collateral/service-provider/visual-networking-index-vni/mob [Accessed on 24 August 2018]. 5. Falowo, O. E., and Chan, H. A., 2011. RAT Selection For Multiple Calls In Heterogeneous Wireless Networks Using Modified TOPSIS Group Decision Making Technique. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, pp. 1371–1375. 6. Fang, Z., and McNair, J., 2004. Optimizations for Vertical Handoff Decision Algorithms. IEEE Wireless Communications and Networking Conference, 2(3), pp. 867–872. 7. Garcia, L. G. U., Rodriguez, I., Catania, D., and Mogensen, P., 2013. IEEE 802.11 Networks : A Simple Model Geared Towards Offloading Studies and Considerations on Future Small Cells. 2013 IEEE 78th Vehicular Technology Conference, pp. 1–6. 8. Ghafar, N. A. A., Hashim, W., Ismail, A. F., Dzulkifly, S., and Abdullah, K., 2012. An Experimental Study of 802.11 Access Point Network Behavior. IEEE Student Conference on Research and Development, pp. 272-276. 9. Guo, Q. G. Q., Zhu, J. Z. J., and Xianghua, X. X., 2005. An adaptive multi-criteria vertical handoff decision algorithm for radio heterogeneous network. Proceedings of the IEEE International Conference on Communications, 4, pp. 2769–2773. 10. He, Y., Chen, M., Ge, B., and Guizani, M., 2016. On WiFi Offloading in Heterogeneous Networks: Various Incentives and Trade-Off Strategies. IEEE Communications Surveys and Tutorials, 18(4), pp. 2345-2385. 11. Idris, M. F. B. M., Yusof, M. I., Azmat, F. H., Zain, Z. M., Rahman, R. A., and Kassim, M., 2014. Broadband Internet Performance (QoS Measurement) View From Home Access Gateway in Malaysia. 2014 IEEE 5th Control and System Graduate Research Colloquium, pp. 147–152. 12. Jefri, N. N. N. B., Anuar, K., and Arjunan, S., 2017. Real Time Indoor Measurement of 2G, 3G and LTE Mobile Networks in Malaysia. 2016 IEEE 3rd International Symposium on Telecommunication Technologies, pp. 19-24. 13. Jinfeng, K., Miao, J., Xiao, Y., Wang, Y., and Saikrishna, D. A., 2014. An Offloading Algorithm Based on Channel Quality in Mobile Integration Network. 2014 12th International Conference on Signal Processing, pp. 1735–1738. 14. Kassim, M., Rahman, R. A., Aziz, M. A. A., Idris, A., and Yusof, M. I., 2017. Performance Analysis of VoIP over 3G and 4G LTE Network. 2017 International Conference on Electrical, Electronics and System Engineering, pp. 37–41. 15. Kemeng, Y., Gondal, I., Qiu, B., Dooley, L. S., 2007. Combined SINR Based Vertical Handoff Algorithm For Next Generation Heterogeneous Wireless Networks. IEEE Global Telecommunications Conference, pp. 4483–4487. 16. Kim, D. S., Noishiki, Y., Kitatsuji, Y., and Yokota, Hidetoshi., 2013. Efficient ANDSF-assisted Wi-Fi Control for Mobile Data Offloading. Wireless Communications and Mobile Computing Conference, pp. 343–348. 17. Kim, J., Song, N., Jung, B. H., Leem, H., and Sung, D. K., 2013. Placement of WiFi Access Points for Efficient WiFi Offloading in an Overlay Network. Annual International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 3066–3070. 18. Ko, H., Lee, J., and Pack, S., 2017. Performance Optimization of Delayed WiFi Offloading in Heterogeneous Networks. IEEE Transactions on Vehicular Technology, 66(10), pp. 9436–9447. 19. Kwong, K. H., Alvin, T. K. N., David, H. T. C., and Abbas, M., 2011. WiFied Up Malaysia Villages: A Case Study of Using WiFi Technology to Increase Internet Penetration Rate in Malaysia Rural Areas. IEEE 10th Malaysia International Conference on Communications, pp. 7–12. 20. Laoutaris, N., Smaragdakis, G., Stanojevic, R., Rodriguez, P., and Sundaram, R., 2013. Delay-Tolerant Bulk Data Transfers on the Internet. IEEE/ACM Transactions on Networking, 21(6), pp. 1852–1865. 21. Lee, J., Member, S., and Yi, Y., 2014. Economics of WiFi Offloading: Trading Delay for Cellular Capacity. Proceeding IEEE Transaction on Wireless Communication, 13(3), pp. 1540–1554. 22. Lee, K., Injong, R., Joohyun, L., Chong, S., and Yung, Y., 2010. Mobile Data Of fl oading : How Much Can WiFi Deliver ?. IEEE/ACM Transactionss on Networking, 21(2), pp. 425-426. 23. Lurudusamy, S. N., and Thurasamy, R., 2016. The Drivers of Broadband Internet in Malaysia. Proceedings - 6th International Conference on Computer and Communication Engineering: Innovative Technologies to Serve Humanity, pp. 225–230. 24. Malandrino, F., Casetti, C., and Chiasserini, C. F., 2014. LTE offloading: When 3GPP policies are just enough. 11th Annual Conference on Wireless on Demand Network Systems and Services, pp. 1–8. 25. Malaysian Communications and Multimedia Commission, 2017. Internet Users Survey 2017 Statistical Brief Number Twenty-One. [online] Available at: http://www.mcmc. gov.my [Accessed on 15 February 2017]. 26. Mathis, M., Semke, J., and Mahdavi, J., 1997. The Macroscopic Behavior of the TCP Congestion Avoidance Algorithm. ACM SIGCOMM Computer Communication Review, 27(3), pp. 67–82. 27. MCMC 2016. INTERNET USERS SURVEY 2016. 28. MCMC 2017b. Pocket Book of Statistics. 29. MCMC 2017a. 1Q17-facts-figures.pdf. Malaysians Communication and Multimedia Commission. [online] Available at: https://www.mcmc.gov.my/resources/statistics/ communications-and-multimedia-pocket-book-of-stati [Accessed on 05 July 2017]. 30. Mohamed, E. M., Sakaguchi, K., and Sampei, S., 2015. Delayed Offloading Zone Associations Using Cloud Cooperated Heterogeneous Networks. 2015 IEEE Wireless Communications and Networking Conference Workshops, pp. 374–379. 31. Mohammed, N. Z., Ghazi, A., and Mustafa, H. E., 2013. Positional Accuracy Testing of Google Earth. International Journal of Multidisciplinary Sciences and Engineering, 4(6), pp. 6–9. 32. Mohd, O. H., Hassan, S., and Shabli, A. H. M., 2010. Feasibility study of using IEEE 802.22 Wireless Regional Area Network (WRAN) in Malaysia. International Conference on Network Applications, Protocols and Services, pp. 198–202. 33. Rebecchi, F., Dias de Amorim, M., Conan, V., Passarella, A., Bruno, R., and Conti, M., 2015. Data Offloading Techniques In Cellular Networks: A survey. IEEE Communications Surveys and Tutorials, 17(2), pp. 580–603. 34. Roy, A., and Karandikar, A., 2015. Optimal Radio Access Technology Selection Policy for LTE-WiFi Network. International Symposium on Modeling and Optimization in Mobile, pp. 291–298. 35. Shayea, I., Rahman, T. A., Azmi, M. H., Han, C. T., and Arsad, A., 2017. Indoor Network Signal Coverage of Mobile Telecommunication Networks in West Malaysia: Selangor and Johor Bahru. Malaysia International Conference on Communications, pp. 28–30. 36. Shuhailie, M. M. N., Azura, M. S., and Fahmi, A. R., 2013. Malaysia’s Communication Content and Infrastructure: The Broadband Demand’s Forecast, Strategies and Policy Implications. International Conference on Advance Communication technology, pp. 3–7. 37. StatCounter Global Stats, 2018b. Mobile Operating System Market Share Worldwide. [online] Available at: http://gs.statcounter.com/os-market-share/mobile/worldwide [Accessed: 13 March 2018]. 38. StatCounter Global Stats, 2018a. Mobile Operating System Market Share Malaysia. [online] Available at: http://gs.statcounter.com/os-market-share/mobile/malaysia/# monthly-201702-201802-bar [Accessed: 13 March 2018]. 39. Strauss, J., Katabi, D., and Kaashoek, F., 2003. A Measurement Study of Available Bandwidth Estimation Tools. ACM SIGCOMM Conference on Internet Measurement, pp. 1-6. 40. Suh, D., Ko, H., and Pack, S., 2016. Efficiency Analysis of WiFi Offloading Techniques. IEEE Transactions on Vehicular Technology, 65(5), pp. 3813–3817. 41. Telekom Malaysia, 2018. Unifi Wifi. [online] Available at: https://www.unifi.com. my/unifi-en/ijoin/product-details.page?productId=wifi [Accessed: 7 June 2018]. 42. Thiagarajah, S. P., Alvin, T., Chieng, D., Alias, M. Y., and Su, W. T., 2013. User Data Rate Enhancement Using Heterogeneous LTE-802.11n Offloading in Urban Area. IEEE Symposium on Wireless Technology and Applications, pp. 11–16. 43. Unnikrishnan, B., Kulshrestha, V., Saraf, A., Agrahari, A. C., Prakash, S., and Samantaray L., 2018. Pattern Of Computer And Internet Use Among Medical Students In Coastal South India. Southeast Asian Journal of Medical Eduation, 2, pp. 18–25. 44. Wang, H. J., 1999. Policy-Enabled Handoffs Across Heterogeneous Wireless Networks. pp. 1–30. 45. White Papers \| Akamai [online] Available at: https://www.akamai.com/us/en/about/our-thinking/white-papers.jsp [Accessed: 25 June 2018]. 46. Ya'acob, N., Azmil, M. S. A., Khairudin, K. R., and Sarnin, S. S., 2014. Coverage and Quality Radio Analysis for Single Radio Access Network Technology in GSM. International Conference on Electrical, Electronics and System Engineering, pp. 158–163. 47. Zhang, D., and Yeo, C. K., 2012. Optimal Handing-Back Point in Mobile Data Offloading. IEEE Vehicular Networking Conference, pp. 219–225. 48. Zhuo, X., Gao, W., Cao, G., and Hua, S., 2013. An Incentive Framework for Cellular Traffic Offloading. IEEE Transactions on Mobile Computing, 13(3), pp. 541-555.

Capacity Enhancement Of Cellular Network Using Wifi Offloading

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