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A Study on Data Dissemination Techniques in Heterogeneous Cellular Networks

  • Roberto TorreEmail author
  • Frank H. P. Fitzek
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 263)

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.

Keywords

Survey Cellular networks Random Linear Network Coding (RLNC) Multicast Cooperative networks 5G Traffic offload 

Notes

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].

References

  1. 1.
    Cisco: Cisco Visual Networking Index: Forecast and Methodology, 2011 to 2016. Technical report, Cisco Technologies (2012)Google Scholar
  2. 2.
    Goldstein, P.: Credit Suisse Report: U.S. Wireless Networks Running at 80% of Total Capacity, July 2011Google Scholar
  3. 3.
    Cisco: Cisco Visual Networking Index: Forecast and Methodology, 2016 to 2021. Technical report, Cisco Technologies, 28 March 2017Google Scholar
  4. 4.
    Heath, R.W., Kountouris, M.: Modeling heterogeneous network interference. IEEE Inf. Theory Appl, Workshop (Feb (2012)CrossRefGoogle Scholar
  5. 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. 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)CrossRefGoogle Scholar
  7. 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 2013Google Scholar
  8. 8.
    3GPP: Multimedia broadcast/multicast service (MBMS). Technical report, December 2017Google Scholar
  9. 9.
    Viavi Solutions: LTE multimedia broadcast multicast services (MBMS). White paper (2015)Google Scholar
  10. 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)CrossRefGoogle Scholar
  11. 11.
    EBU: Delivery of broadcast content over LTE networks. Technical report, July 2014Google Scholar
  12. 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)CrossRefGoogle Scholar
  13. 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 2012Google Scholar
  14. 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 2012Google Scholar
  15. 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)CrossRefGoogle Scholar
  16. 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. 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 2016Google Scholar
  18. 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. 19.
    Satyanarayanan, M., Bahl, P., Caceres, R., Davies, N.: The case for VM-based cloudlets in mobile computing. IEEE Pervasive Computing, October 2009Google Scholar
  20. 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)MathSciNetCrossRefGoogle Scholar
  21. 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. 22.
    Agilent Technologies: Power-consumption measurements for LTE user equipment. Application note from Agilent Technologies, June 2014Google Scholar
  23. 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 2014Google Scholar
  24. 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)CrossRefGoogle Scholar
  25. 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)CrossRefGoogle Scholar
  26. 26.
    Radwan, A., et al.: Low-cost on-demand c-ran based mobile small-cells. IEEE Access 4, 2331–2339 (2016)CrossRefGoogle Scholar
  27. 27.
    Radwan, A., et al.: Mobile caching-enabled small-cells for delay-tolerant e-health apps. IEEE International Conference on Communications, May 2017Google Scholar
  28. 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)CrossRefGoogle Scholar
  29. 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 2007Google Scholar
  30. 30.
    Pedersen, M.V., Fitzek, F.H.P.: Mobile clouds: The new content distribution platform. Proceedings of the IEEE (2012)Google Scholar
  31. 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 2008Google Scholar
  32. 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. 33.
    Fitzek, F.H., Katz, M.D.: Mobile Clouds. Exploiting Distributed Resources in Wireless, Mobile and Social Networks. Wiley, UK (2014)CrossRefGoogle Scholar
  34. 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 2014Google Scholar
  35. 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 2014Google Scholar
  36. 36.
    Saghezchi, F.B., et al.: A novel relay selection game in cooperative wireless networks based on combinatorial optimization. In: VTC Spring, May 2011Google Scholar
  37. 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. 38.
    Ioannidis, S., Chaintreau, A., Massoulie, L.: Optimal and scalable distribution of content updates over a mobile social network. In: IEEE INFOCOM 2009, April 2009Google Scholar
  39. 39.
    Shokrollahi, A., Luby, M.: Raptor codes. Found. Trends®Commun. Information Theory 6(3–4), 213–322 (2011)zbMATHGoogle Scholar
  40. 40.
    Luby, M.: LT codes. In: The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings (2002)Google Scholar
  41. 41.
    Shokrollahi, A.: Raptor codes. IEEE Trans. Inf. Theory, June 2006Google Scholar
  42. 42.
    3GPP: Third generation partnership project, March 2018Google Scholar
  43. 43.
    IETF: Raptor forward error correction scheme for object delivery, March 2018Google Scholar
  44. 44.
    Ahlswede, R., Cai, N., Li, S.Y.R., Yeung, R.W.: Network information flow. IEEE Trans. Inf. Theory 46(4), 1204–1216 (2000)MathSciNetCrossRefGoogle Scholar
  45. 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. 46.
    Rossetto, F., Zorzi, M.: Mixing network coding and cooperation for reliable wireless communications. IEEE Wirel. Commun., February 2011Google Scholar
  47. 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)CrossRefGoogle Scholar
  48. 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)CrossRefGoogle Scholar
  49. 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 2018Google Scholar
  50. 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)MathSciNetCrossRefGoogle Scholar
  51. 51.
    Ho, T., et al.: A random linear network coding approach to multicast. IEEE Trans. Inf. Theory 52(10), 4413–4430 (2006)MathSciNetCrossRefGoogle Scholar
  52. 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 2015Google Scholar
  53. 53.
    Rodriguez, J., et al.: Secret-secure network coding for reduced energy next generation mobile small cells. In: ITA Conference (2017)Google Scholar

Copyright information

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

Authors and Affiliations

  1. 1.Deutsche Telekom Chair of Communication NetworksDresdenGermany

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