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MOTA: engineering an operator agnostic mobile service

Published:19 September 2011Publication History

ABSTRACT

There are two emerging trends in the mobile data world. First, mobile data is exploding at a rapid rate with analysts predicting 25-50X growth by the year 2015. The second trend is that users are demanding greater degree of flexibility in selecting their operators at fine timescales. Across Asia, dual-SIM phones have become popular, while Apple is rumored to be designing a Universal SIM that will allow iPhone users to toggle between different operators. This latter trend points towards an impending disruption in wireless service models which could also be the need of the hour from the spectrum shortage perspective.

This points towards a new service model where users can choose an operator based on application needs. However, if users make this choice greedily without network assistance, it can exacerbate spectrum scarcity and degrade user experience. In this work, we consider user devices with multiple network interfaces (3G, LTE etc.) that can be simultaneously active and each running multiple applications. We propose the MOTA service model to enable users to associate each interface with the operator of choice at fine time scales. Under the MOTA service model, through concise signalling information, operators provide information about their own network, so that each user can (i) choose a suitable operator for each interface, and (ii) choose an interface for each active application. We make the following contributions in this paper. First, we propose concise network signalling that assists users to make informed choices even under mobility. Second, we develop user-choice algorithms that maximize a suitable notion of user satisfaction while using spectrum resources efficiently. Third, we perform extensive evaluation over actual base station deployment in a city coupled with real signal propagation maps. Our results with two operators show that, MOTA service model provides capacity gain in the range 2.5-4X over the current existing service model. Finally, we argue that our solution is practically implementable by combining appropriate IEEE standards and IETF proposals.

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References

  1. AdMob Mobile Metrics Report 2 (2008). See http://www.admob.com/marketing/pdf/ mobile_metrics_nov_08.pdf .Google ScholarGoogle Scholar
  2. Alcatel-lucent 9955 radio network planning tool. See http://www.scribd.com/doc/40620661/9955-V6--9-RN-ED- 03.Google ScholarGoogle Scholar
  3. Could Apple Be Your Next Phone Company?, available at http://gigaom.com/2011/02/10/could-apple-be-your-next-phone-company/.Google ScholarGoogle Scholar
  4. Dual-sim cellphone market takes off as tariffs slip, available at http://economictimes.indiatimes.com/tech/hardware/Dual-sim-cellphone-market-%takes-off-as-tariffs-slip-/articleshow/5526075.cms.Google ScholarGoogle Scholar
  5. FCC's national broadband plan available at http://www.broadband.gov.Google ScholarGoogle Scholar
  6. IEEE 802.21 Working Group. See www.ieee802.org/21/ .Google ScholarGoogle Scholar
  7. Mota: Engineering an operatior agnostic mobile service, tech. report., http://www.bell-labs.com/user/vikramsr/papers/mota-longer.pdf.Google ScholarGoogle Scholar
  8. Narseo Vallina-Rodríguez and Jon Crowcroft, Erdos: Enabling opportunistic resources sharing in mobile Operating Systems, ICDCN 2011, Keynote talk . See slide 55 http://www.cl.cam.ac.uk/~jac22/talks/icdcn.pdf .Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. NGMN Radio Access Performance Evaluation Methodology available at http://www.ngmn.org/uploads/media/NGMN_Radio_Access_Performance_Evalua%tion_Methodology.pdf.Google ScholarGoogle Scholar
  10. RFC 4068-Fast Handovers for Mobile IPV6, available at http://www.faqs.org/rfcs/rfc4068.html.Google ScholarGoogle Scholar
  11. The Network Paradox Part I: Mobile Data Demand by the Numbers, available at http://connectedplanetonline.com/4gparadox/Mobile-data-by-the-numbers-1005/i%ndex.html.Google ScholarGoogle Scholar
  12. Verizon iPhone Gets Better Coverage, Slower Data, Wired.com Test Finds, available at http://www.wired.com/gadgetlab/2011/02/ verizon-att-iphone-tests/.Google ScholarGoogle Scholar
  13. Bai, F. Sadagopan, N. H. A. Important: A framework to systematically analyze the impact of mobility on performance of routing protocols for adhoc networks. In IEEE INFOCOM.Google ScholarGoogle Scholar
  14. Bu, T., Li, L., and Ramjee, R. Generalized proportional fair scheduling in third generation wireless data networks. In INFOCOM (2006).Google ScholarGoogle Scholar
  15. Buddhikot, M., Chandranmenon, G., Ch, G., Han, S., Lee, Y. W., Miller, S., and Salgarelli, L. Integration of 802.11 and third-generation wireless data networks. In in Proc. of IEEE INFOCOM (2003), pp. 503--512.Google ScholarGoogle ScholarCross RefCross Ref
  16. Buddhikot, M., Kolodzy, P., Miller, S., Ryan, K., and Evans, J. DIMSUMnet: New directions in wireless networking using coordinated dynamic spectrum. IEEE WoWMoM (2005). Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Buddhikot, M., and Ryan, K. Spectrum management in coordinated dynamic spectrum access based cellular networks. IEEE DySPAN 2005 (Nov. 2005), 299--307.Google ScholarGoogle Scholar
  18. Cleary, F., Fiedler, M., Ridel, L., and Cihat~Toker, A. Perimeter: Privacy-preserving contract-less, user centric, seamless roaming for always best connected future internet. In Wireless World Research Forum (WWRF) Meeting. (May 2009).Google ScholarGoogle Scholar
  19. Dai, Z., Fracchia, R., Gosteau, J., Pellati, P., and Vivier, G. Vertical Handover Criteria and Algorithm in IEEE802.11 and 802.16 Hybrid Networks. In IEEE ICC (2008).Google ScholarGoogle Scholar
  20. De~La~Oliva, A., Banchs, A., Soto, I., Melia, T., and Vidal, A. An overview of ieee 802.21: media-independent handover services. Wireless Communications, IEEE 15, 4 (2008), 96 --103. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Dutta, A., Famolari, D., Das, S., Ohba, Y., Fajardo, V., Taniuchi, K., Lopez, R., and Schulzrinne, H. Media-independent pre-authentication supporting secure interdomain handover optimization. Wireless Communications, IEEE 15, 2 (2008). Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Dutta, A., Zhang, T., Ohba, Y., Taniuchi, K., and Schulzrinne, H. Mpa assisted optimized proactive handoff scheme. In Mobile and Ubiquitous Systems: Networking and Services, 2005. MobiQuitous 2005. The Second Annual International Conference on (2005), pp. 155 -- 165. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Fleischer, L., Goemans, M., Mirrokni, V., and Sviridenko, M. Tight approximation algorithms for maximum general assignment problems. In ACM SODA (2006). Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Fodor, G., Eriksson, A., and Tuoriniemi, A. Providing quality of service in always best connected networks. IEEE Communications Magazine 41, 7 (2003), 154--163. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Gustafsson, E., and Jonsson, A. Always best connected. Wireless Communications, IEEE 10, 1 (2003), 49 -- 55. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Kamakaris, T., Buddhikot, M., and Iyer, R. A case for coordinated dynamic spectrum access in cellular networks. IEEE DySPAN 2005 (2005).Google ScholarGoogle Scholar
  27. Kauffmann, B., Baccelli, F., Chaintreau, A., Mhatre, V., Papagiannaki, K., and Diot, C. Self organization of interfering 802.11 wireless access networks. In IEEE INFOCOM (2007).Google ScholarGoogle Scholar
  28. Kelly, F. P., Maullo, A. K., and Tan, D. K. H. Rate control in communication networks: shadow prices, proportional fairness and stability. Journal of the Operational Research Society (1998).Google ScholarGoogle Scholar
  29. Lampropoulos, G., Salkintzis, A., and Passas, N. Media-independent handover for seamless service provision in heterogeneous networks. Communications Magazine, IEEE 46, 1 (2008), 64 --71. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Li, L., Pal, M., and Yang, Y. Proportional fairness in multi-rate wireless LANs. In IEEE Infocom (2008).Google ScholarGoogle Scholar
  31. Mishra, A., Shrivastava, V., Agarwal, D., Banerjee, S., and Ganguly, S. Distributed channel management in uncoordinated wireless environments. In ACM Mobicom (2006). Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Mussabbir, Q. B., and Yao, W. Optimized fmipv6 handover using ieee802.21 mih services. In Proceedings of first ACM/IEEE international workshop on Mobility in the evolving internet architecture (New York, NY, USA, 2006), MobiArch '06, ACM, pp. 43--48. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Parekh, A. K., and Gallagher, R. G. A generalized processor sharing approach to flow control in integrated services networks: the single-node case. In ACM/IEEE Transactions on Networking (1993). Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. R. Agrawal, A. Bedekar, R. L., and Subramanian, V. A class and channel-condition based weighted proportionally fair scheduler. In ITC (2001).Google ScholarGoogle Scholar
  35. Roughgarden, T. Potential functions and the inefficiency of equilibria (survey). In International Congress of Mathematicians (2006).Google ScholarGoogle Scholar
  36. Sesia, S., Toufik, I., and Baker, M. LTE, The UMTS Long Term Evolution: From Theory to Practice. Wiley, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Wang, W., Liu, X., Vicente, J., and Mohapatra, P. Integration Gain of Heterogeneous WiFi/WiMAX Networks. IEEE Transactions on Mobile Computing (Dec 2010). Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Wolff, R. W. Stochastic Modelling and the Theory of Queues. Prentic Hall, 1989.Google ScholarGoogle Scholar
  39. Wu, Q., and Esteves, E. The CDMA2000 high rate packet data system. Chapter 4 of Advances in 3G Enhanced Technologies for Wireless Communications (March 2002).Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        MobiCom '11: Proceedings of the 17th annual international conference on Mobile computing and networking
        September 2011
        362 pages
        ISBN:9781450304924
        DOI:10.1145/2030613

        Copyright © 2011 ACM

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        Publication History

        • Published: 19 September 2011

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