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.
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Patil, V., Gupta, S., Keshavamurthy, C. (2019). S-RLNC Multi-generation Mixing Assisted MAC Optimization for Multimedia Multicast over LTE-A. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_50
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DOI: https://doi.org/10.1007/978-981-13-0617-4_50
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