An Efficient Data Transmission Technique for Big Video Files over HetNet in Emerging 5G Networks

  • Richa Siddavaatam
  • Isaac WoungangEmail author
  • Sanjay Kumar Dhurandher
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)


This paper proposes an efficient data transfer scheme for mobile big video files over HetNet in emerging 5G networks, along with a data correction technique to deal with the problem of failure to retrieve the stored data. The proposed scheme exploits the possibility of overlapping coverage received by a UE from multiple base stations (BSs) in HetNets to expedite the mobile big data transfer between the UE and the cloud storage center. This is achieved by compressing a big video file into smaller sized file, then splitting the compressed file into a number of smaller chunks, which are transmitted simultaneously over the multiple data links. Simulation results demonstrate that our proposed method outperforms the baseline data storage method.


Big video data Data storage Mobile cloud computing HetNet Error correction code H.264 High efficiency video coding (HEVC) 


  1. 1.
    Sullivan, G.J., Ohm, J.R., Han, W.J., Wiegand, T.: Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649–1668 (2012)CrossRefGoogle Scholar
  2. 2.
    Sze, V., Budagavi, M., Sullivan, G.J.: High Efficiency Video Coding (HEVC). Integrated Circuit and Systems, Algorithms and Architectures, 39, p. 40. Springer (2014)Google Scholar
  3. 3.
    Kosta, S., Aucinas, A., Hui, P., Mortier, R., Zhang, X.: ThinkAir: dynamic resource allocation and parallel execution in the cloud for mobile code offloading. In: Proceedings of IEEE INFOCOM, Orlando, FL, USA 2012, pp. 945–953 (2012)Google Scholar
  4. 4.
    Zhang, N., Cheng, N., Gamage, A.T., Zhang, K., Mark, J.W., Shen, X.: Cloud assisted HetNets toward 5G wireless networks. IEEE Commun. Mag. 53(6), 59–65 (2015)CrossRefGoogle Scholar
  5. 5.
    Shiraz, M., Sookhak, M., Gani, A., Shah, S.A.A.: A study on the critical analysis of computational offloading frameworks for mobile cloud computing. J. Netw. Comput. Appl. 47, 47–60 (2015)CrossRefGoogle Scholar
  6. 6.
    Siddavaatam, R., Woungang, I., Carvalho, G., Anpalagan, A.: Efficient ubiquitous big data storage strategy for mobile cloud computing over HetNet. In: IEEE Global Communications Conference (GLOBECOM), Washington, DC 2016, pp. 1–6 (2016)Google Scholar
  7. 7.
    Siddavaatam, R., Woungang, I., Carvalho, G., Anpalagan, A.: An efficient method for mobile big data transfer over HetNet in emerging 5G systems. In: IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD), Toronto, ON 2016, pp. 59–64 (2016)Google Scholar
  8. 8.
    Lien, S.Y., Shieh, S.L., Huang, Y., Su, B., Hsu, Y.L., Wei, H.Y.: 5G new radio: waveform, frame structure, multiple access, and initial access. IEEE Commun. Mag. 55(6), 64–71 (2017)CrossRefGoogle Scholar
  9. 9.
    Siddavaatam, R., Anpalagan, A., Woungang, I., Misra, S.: Ant colony optimization based sub-channel allocation algorithm for small cell HetNets. Wirel. Pers. Commun. 77(1), 411–432 (2014)CrossRefGoogle Scholar
  10. 10.
    Deb, S., Monogioudis, P., Miernik, J., Seymour, J.P.: Algorithms for enhanced inter-cell interference coordination (eICIC) in LTE HetNets. IEEE ACM Trans. Netw. 22(1), 137–150 (2013)CrossRefGoogle Scholar
  11. 11.
    Zyren, J., McCoy, W.: Overview of the 3GPP Long Term Evolution Physical Layer, white paper. Freescale Semiconductor, Inc., 22 2007Google Scholar
  12. 12.
    Shannon, C.E.: Communication in the presence of noise. Proc. IRE 37(1), 10–21 (1949)MathSciNetCrossRefGoogle Scholar
  13. 13.
    Anvin, H.P.: The mathematics of RAID-6 (2007)Google Scholar
  14. 14.
    Castellanos, C.U., Villa, D.L., Rosa, C., Pedersen, K.I., Calabrese, F.D., Michaelsen, P.-H., Michel, J.: Performance of uplink fractional power control in UTRAN LTE. In: Proceedings of IEEE Vehicular Technology Conference (VTC), Singapore, 11–14 May 2008, pp. 2517–2521 (2008)Google Scholar
  15. 15.
    Plank, J.S.: A tutorial on Reed–Solomon coding for fault tolerance in RAID like systems. Softw. Pract. Exp. 27(9), 995–1012 (1997)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Richa Siddavaatam
    • 1
  • Isaac Woungang
    • 1
    Email author
  • Sanjay Kumar Dhurandher
    • 2
  1. 1.Department of Computer ScienceRyerson UniversityTorontoCanada
  2. 2.Department of Information TechnologyNetaji Subhas University of TechnologyNew DelhiIndia

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