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A Study on Data Dissemination Techniques in Heterogeneous Cellular Networks

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Broadband Communications, Networks, and Systems (BROADNETS 2018)

Abstract

Cellular networks are undergoing a major shift in their deployment and optimization. Regardless the deployment of LTE led to an overall performance increase in cellular networks, disseminating data to multiple users inside a cell is still under development. This dissemination is currently achieved via unicast connections, which is inefficient in terms of throughput and power consumption because the antenna is sending duplicated data to co-located users. The 3rd Generation Partnership Project (3GPP) proposed a new standard to be able to multicast and broadcast information over cellular networks. However, different studies stated that this solution might have problems related to the spectrum, and new multicasting alternatives which provide better performance have appeared. Since these new alternatives came up, a race for the control of cellular multicast/broadcast has started. In this paper, we collect, analyze and compare the leading technologies that enable the system to efficiently disseminate data over cellular networks, and conclude by indicating which ones are the most likely to succeed.

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References

  1. Cisco: Cisco Visual Networking Index: Forecast and Methodology, 2011 to 2016. Technical report, Cisco Technologies (2012)

    Google Scholar 

  2. Goldstein, P.: Credit Suisse Report: U.S. Wireless Networks Running at 80% of Total Capacity, July 2011

    Google Scholar 

  3. Cisco: Cisco Visual Networking Index: Forecast and Methodology, 2016 to 2021. Technical report, Cisco Technologies, 28 March 2017

    Google Scholar 

  4. Heath, R.W., Kountouris, M.: Modeling heterogeneous network interference. IEEE Inf. Theory Appl, Workshop (Feb (2012)

    Book  Google Scholar 

  5. Rhee, W., Cioffi, J.M.: Increase in capacity of multiuser OFDM system using dynamic subchannel allocation. In: IEEE 51st Vehicular Technology Conference Proceedings, pp. 1085–1089 (2000)

    Google Scholar 

  6. Low, T.P., Pun, M.O., Hong, Y.W.P., Kuo, C.C.J.: Optimized opportunistic multicast scheduling (OMS) over wireless cellular networks. IEEE Trans. Wirel. Commun. 9, 791–801 (2010)

    Article  Google Scholar 

  7. Militano, L., Condoluci, M., Araniti, G., Iera, A.: Multicast service delivery solutions in LTE-Advanced systems. In: IEEE International Conference on Communications (ICC), pp. 5954–5958, June 2013

    Google Scholar 

  8. 3GPP: Multimedia broadcast/multicast service (MBMS). Technical report, December 2017

    Google Scholar 

  9. Viavi Solutions: LTE multimedia broadcast multicast services (MBMS). White paper (2015)

    Google Scholar 

  10. Lecompte, D., Gabin, F.: Evolved multimedia broadcast/multicast service (eMBMS) in LTE-Advanced: overview and rel-11 enhancements. IEEE Commun. Mag. 50(11), 68–74 (2012)

    Article  Google Scholar 

  11. EBU: Delivery of broadcast content over LTE networks. Technical report, July 2014

    Google Scholar 

  12. Afolabi, R.O., Dadlani, A., Kim, K.: Multicast scheduling and resource allocation algorithms for OFDMA-based systems: a survey. IEEE Commun. Surv. Tutor. 15(1), 240–254 (2013)

    Article  Google Scholar 

  13. Araniti, G., Condoluci, M., Iera, A.: Adaptive multicast scheduling for HSDPA networks in mobile scenarios. In: IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, June 2012

    Google Scholar 

  14. Araniti, G., et al.: Efficient frequency domain packet scheduler for point-to-multipoint transmissions in LTE networks. In: IEEE International Conference on Communications (ICC), June 2012

    Google Scholar 

  15. Wang, L., Yang, Z., Xu, L., Yang, Y.: NCVCS: Network-coding-based video conference system for mobile devices in multicast networks. Ad Hoc Netw. 45, 13–21 (2016)

    Article  Google Scholar 

  16. Keller, L., et al.: Microcast: Cooperative video streaming on smartphones. In: MobiSys 2012, 25-29 June 2012, Low Wood Bay, Lake District, UK (2012)

    Google Scholar 

  17. Assefa, T.D., Kralevska, K., Jiang, Y.: Performance analysis of LTE networks with random linear network coding. In: International Convention on Information and Communication Technology, Electronics and Microelectronics, May 2016

    Google Scholar 

  18. Aymen, L., Ye, B., Nguyen, T.M.T.: Offloading performance evaluation for network coding-based cooperative mobile video streaming. In: Proceedings of the International Conference on the Network of the Future (NOF) (2016)

    Google Scholar 

  19. Satyanarayanan, M., Bahl, P., Caceres, R., Davies, N.: The case for VM-based cloudlets in mobile computing. IEEE Pervasive Computing, October 2009

    Google Scholar 

  20. Laneman, J.N., Tse, D.N.C., Wornell, G.W.: Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Trans. Inf. Theory 50(12), 3062–3080 (2004)

    Article  MathSciNet  Google Scholar 

  21. Huang, J., Qian, F., Gerber, A., Mao, Z.M., Sen, S., Spatscheck, O.: A close examination of performance and power characteristics of 4G LTE networks. In: Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services, pp. 225-238 (2012)

    Google Scholar 

  22. Agilent Technologies: Power-consumption measurements for LTE user equipment. Application note from Agilent Technologies, June 2014

    Google Scholar 

  23. Sun, L., Sheshadri, R.K., Zheng, W., Koutsonikolas, D.: Modeling WiFi active power/energy consumption in smartphones. In: 2014 IEEE 34th International Conference on Distributed Computing Systems, June 2014

    Google Scholar 

  24. Chen, X., Proulx, B., Gong, X., Zhang, J.: Exploiting social ties for cooperative D2D communications: a mobile social networking case. IEEE/ACM Trans. Netw. 23(5), 1471–1484 (2015)

    Article  Google Scholar 

  25. Wang, X., Zhang, Y., Leung, V.C.M., Guizani, N., Jiang, T.: D2d big data: Content deliveries over wireless device-to-device sharing in large-scale mobile networks. IEEE Wirel. Commun. 25(1), 32–38 (2018)

    Article  Google Scholar 

  26. Radwan, A., et al.: Low-cost on-demand c-ran based mobile small-cells. IEEE Access 4, 2331–2339 (2016)

    Article  Google Scholar 

  27. Radwan, A., et al.: Mobile caching-enabled small-cells for delay-tolerant e-health apps. IEEE International Conference on Communications, May 2017

    Google Scholar 

  28. Andrews, J.G., Claussen, H., Dohler, M., Rangan, S., Reed, M.C.: Femtocells: Past, present, and future. IEEE J. Sel. Areas Commun. 30(3), 497–508 (2012)

    Article  Google Scholar 

  29. Albiero, F., Fitzek, F., Katz, M.: Cooperative power saving strategies in wireless networks: an agent-based model. In: Symposium on Wireless Communication Systems, October 2007

    Google Scholar 

  30. Pedersen, M.V., Fitzek, F.H.P.: Mobile clouds: The new content distribution platform. Proceedings of the IEEE (2012)

    Google Scholar 

  31. Albiero, F., Katz, M., Fitzek, F.H.P.: Energy-efficient cooperative techniques for multimedia services over future wireless networks. In: IEEE International Conference on Communications, pp. 2006–2011, May 2008

    Google Scholar 

  32. Fitzek, F., Katz, M., Zhang, Q.: Cellular controlled short-range communication for cooperative P2P networking. Wireless World Research Forum (WWRF) 17 (2006)

    Google Scholar 

  33. Fitzek, F.H., Katz, M.D.: Mobile Clouds. Exploiting Distributed Resources in Wireless, Mobile and Social Networks. Wiley, UK (2014)

    Book  Google Scholar 

  34. Militano, L., Condoluci, M., Araniti, G., Molinaro, A., Iera, A., Fitzek, F.H.P.: Wi-Fi cooperation or D2D-based multicast content distribution in LTE-A: a comparative analysis. In: IEEE International Conference on Communications Workshops (ICC), pp. 296–301, June 2014

    Google Scholar 

  35. Bagheri, H., Salehi, M.J., Khalaj, B.H., Katz, M.: An energy-efficient leader selection algorithm for cooperative mobile clouds. In: IEEE Wireless Days, 2013 IFIP, January 2014

    Google Scholar 

  36. Saghezchi, F.B., et al.: A novel relay selection game in cooperative wireless networks based on combinatorial optimization. In: VTC Spring, May 2011

    Google Scholar 

  37. Han, B., Hui, P., Kumar, V.A., Pei, M.V.M.G., Srinivasan, A.: Cellular traffic offloading through opportunistic communications: a case study. In: Proceedings of the 5th ACM Workshop on Challenged Networks (CHANTS), pp. 31-38 (2010)

    Google Scholar 

  38. Ioannidis, S., Chaintreau, A., Massoulie, L.: Optimal and scalable distribution of content updates over a mobile social network. In: IEEE INFOCOM 2009, April 2009

    Google Scholar 

  39. Shokrollahi, A., Luby, M.: Raptor codes. Found. Trends®Commun. Information Theory 6(3–4), 213–322 (2011)

    MATH  Google Scholar 

  40. Luby, M.: LT codes. In: The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings (2002)

    Google Scholar 

  41. Shokrollahi, A.: Raptor codes. IEEE Trans. Inf. Theory, June 2006

    Google Scholar 

  42. 3GPP: Third generation partnership project, March 2018

    Google Scholar 

  43. IETF: Raptor forward error correction scheme for object delivery, March 2018

    Google Scholar 

  44. Ahlswede, R., Cai, N., Li, S.Y.R., Yeung, R.W.: Network information flow. IEEE Trans. Inf. Theory 46(4), 1204–1216 (2000)

    Article  MathSciNet  Google Scholar 

  45. Ho, T., Medard, M., Shi, J., Efiros, M., Karger, D.R.: On randomized network coding. Proc. 41st Annual Allerton Conference on Communication Control and Computing, Vol. 1, No. 1, pp. 11–20 (2003)

    Google Scholar 

  46. Rossetto, F., Zorzi, M.: Mixing network coding and cooperation for reliable wireless communications. IEEE Wirel. Commun., February 2011

    Google Scholar 

  47. Fitzek, F.H.P., Heide, J., Pedersen, M.V., Katz, M.: Implementation of network coding for social mobile clouds [applications corner]. IEEE Signal Process. Mag. 30(1), 159–164 (2013)

    Article  Google Scholar 

  48. Renzo, M.D., Iezzi, M., Graziosi, F.: On diversity order and coding gain of multisource multirelay cooperative wireless networks with binary network coding. IEEE Trans. Veh. Technol. 62(3), 1138–1157 (2013)

    Article  Google Scholar 

  49. Pandi, S., Arranz, R.T., Nguyen, G.T., Fitzek, F.H.P.: Massive video multicasting in cellular networks using network coded cooperative communication. In: 15th IEEE Annual Consumer Communications Networking Conference (CCNC), pp. 1–2, January 2018

    Google Scholar 

  50. Swapna, B.T., Eryilmaz, A., Shroff, N.B.: Throughput-delay analysis of random linear network coding for wireless broadcasting. IEEE Trans. Inf. Theory 59(10), 6328–6341 (2013)

    Article  MathSciNet  Google Scholar 

  51. Ho, T., et al.: A random linear network coding approach to multicast. IEEE Trans. Inf. Theory 52(10), 4413–4430 (2006)

    Article  MathSciNet  Google Scholar 

  52. Toemoeskoezi, M., et al.: On the packet delay characteristics for serially-connected links using random linear network coding with and without recoding. In: Proceedings of European Wireless 2015; 21st European Wireless Conference, May 2015

    Google Scholar 

  53. Rodriguez, J., et al.: Secret-secure network coding for reduced energy next generation mobile small cells. In: ITA Conference (2017)

    Google Scholar 

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Acknowledgements

This project has received funding from the European Union’s H2020 research and innovation program under grant agreement H2020-MCSA-ITN- 2016-SECRET 722424 [53].

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Correspondence to Roberto Torre .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Torre, R., Fitzek, F.H.P. (2019). A Study on Data Dissemination Techniques in Heterogeneous Cellular Networks. In: Sucasas, V., Mantas, G., Althunibat, S. (eds) Broadband Communications, Networks, and Systems. BROADNETS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-030-05195-2_17

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  • DOI: https://doi.org/10.1007/978-3-030-05195-2_17

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