Advertisement

S-RLNC Multi-generation Mixing Assisted MAC Optimization for Multimedia Multicast over LTE-A

  • Veeresh Patil
  • Sanjeev Gupta
  • C. Keshavamurthy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

The high pace emergence in communication systems and associated demands has triggered academia-industries to achieve more efficient solution for Quality of Service (QoS) delivery for which recently introduced Long-Term Evolution (LTE) or LTE-Advanced (LTE-A) has been found as a promising solution. However, enabling QoS and Quality of Experience (QoE) delivery for multimedia data over LTE has always been a challenging task. QoS demands require reliable data transmission with minimum signaling overheads, computational complexity, minimum latency, for which classical Hybrid Automatic Repeat Request (HARQ) based LTE-MAC is not sufficient. To alleviate these issues, in this paper a novel and robust Multiple Generation Mixing (MGM) assisted Systematic Random Linear Network Coding (S-RLNC) model is developed to be used at the top of LTE-MAC protocol stack for multimedia data transmission over LTE-A system. Our proposed model incorporated interleaving and coding approach along with MGM to ensure secure, resource efficient and reliable multiple data delivery over LTE systems. One of the key novelties of our proposed system is the use of MGM concept that significantly reduces the signaling overheads, redundant packet needed for each generation that consequently optimizes bandwidth utilization. This feature augments our proposed system to ensure reliable and resource-efficient data transmission over LTE systems. The simulation results reveal that our proposed S-RLNC-MGM based MAC can ensure QoS/QoE delivery over LTE-A systems for multimedia data communication.

Keywords

LTE Multimedia broadcast Multicast transmission Random linear network coding MAC optimization Multi-generation mixing 

References

  1. 1.
    Gruber, M., Zeller, D.: Multimedia broadcast multicast service: new transmission schemes and related challenges. IEEE Commun. Mag. 49(12), 176–181 (2011)CrossRefGoogle Scholar
  2. 2.
    Vukobratovic, D., Khirallah, C., Stankovic, V., Thompson, J.: Random network coding for multimedia delivery over LTE-advanced. In: 2012 IEEE International Conference Multimedia and Expo (ICME), pp. 200–205 (2012)Google Scholar
  3. 3.
    Hamdoun, H., Loskot, P.: Implementing network coding in LTE and LTE-A. In: The First International Workshop on Smart Wireless Communications. Luton, UK (2012)Google Scholar
  4. 4.
    Ahlswede, R., Cai, N., Li, S.R., Yeung, R.W.: Network information flow. IEEE Trans. Inf. Theor. (2000)Google Scholar
  5. 5.
    3GPP TR 36.913 v8.0.1 (Release 8): Requirements for further advancement for (E-UTRA) (2009)Google Scholar
  6. 6.
    Shojania, H., Li, B.: Random network coding on the iPhone: fact or fiction? In: ACM NOSSDAV 2009. Williamsburg. USA (2009)Google Scholar
  7. 7.
    Chou, P.A., Wu, Y., Jain, K.: Practical network coding. In: Allerton Conference 2003, Monticello, IL, USA (2003)Google Scholar
  8. 8.
    Liva, G., Paolini, E., Chiani, M.: Performance versus overhead for fountain codes over GFq. IEEE Comm. Lett. 14(2), 178–180 (2010)CrossRefGoogle Scholar
  9. 9.
    Chou, P.A., Wu, Y.: Network coding for the internet and wireless networks. IEEE Signal Proc. Mag. 24(5), 77–85 (2007)CrossRefGoogle Scholar
  10. 10.
    Vukobratovi´c, D., Stankovi´c, V.: Unequal error protection random linear coding strategies for erasure channels. IEEE Trans. Commun. 60(5), 1243–1252 (2012)CrossRefGoogle Scholar
  11. 11.
    Schotsch, B., Lupoaie, R., Vary, P.: The performance of low-density random linear fountain codes over higher order galois fields under maximum likelihood decoding. In: Allerton 2011, USA (2011)Google Scholar
  12. 12.
    Khirallah, C., Vukobratovi´c, D., Thompson, J.: Performance evaluation and energy efficiency of random network coding in LTE advanced. IEEE Trans. Wireless Commun. 11(12), 4275–4285 (2012)CrossRefGoogle Scholar
  13. 13.
    Khandekar, A., Bhushan, N., Tingfang, J., Vanghi, V.: LTE-advanced: heterogeneous networks. In: European Wireless EW 2010, pp. 978–982 (2010)Google Scholar
  14. 14.
    Veeresh, P., Sanjeev, G., Keshavamurthy, C.: An enhanced network coding based MAC optimization model for QoS oriented multicast transmission over LTE networks. Int. J. Comput. Sci. Inf. Secur. 14(12) (2016)Google Scholar
  15. 15.
    Jaggi, S., Langberg, M., Katti, S., Ho, T., Katabi, D., Medard, M.: Resilient network coding in the presence of Byzantine adversaries. In: IEEE INFOCOM 2007. 26th IEEE International Conference on Computer Communications, pp. 616– 624 (2007)Google Scholar
  16. 16.
    Halloush, M., Radha, H.: Network coding with multi-generation mixing: a generalized framework for practical network coding. IEEE Trans. Wireless Commun. 10(2), 466–473 (2011)CrossRefGoogle Scholar
  17. 17.
    Holma, H., Toskala, A.: LTE for UMTS: Evolution to LTE-Advanced, 2nd edn. Wiley, Hoboken, New Jersey (2011)CrossRefGoogle Scholar
  18. 18.
    Wiegand, T., Sullivan, G.J., Bjontegaard, G., Luthra, A.: Overview of the H. 264/AVC video coding standard. IEEE Trans. Circ. Syst. Video Tech. 13(7), 560–576 (2003)CrossRefGoogle Scholar
  19. 19.
    de Alwis, C., Arachchi, H.K., Fernando, A., Pourazad, M.: Content and network-aware multicast over wireless networks. In: 10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, pp. 122–128. Rhodes (2014)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Veeresh Patil
    • 1
  • Sanjeev Gupta
    • 1
  • C. Keshavamurthy
    • 2
  1. 1.Department of Electronics and Communication EngineeringAISECT UniversityBhopalIndia
  2. 2.Department of Electronics and Communication EngineeringACS College of EngineeringBangaloreIndia

Personalised recommendations