Content-Aware Radio Resource Management for IMT-Advanced

Authors

  • Muhammad Syahrir Johal School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, UK LA1 4WA. Centre of Telecommunication Research and Innovation, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia.
  • Garik Markarian School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, UK LA1 4WA.
  • Azmi Awang Md Isa Centre of Telecommunication Research and Innovation, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia.
  • Yosza Dasril Centre of Telecommunication Research and Innovation, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia.

Keywords:

Content Aware Radio Resource Management, Cross Layer Optimisation, IMT-Advanced, Radio Resource Management,

Abstract

Radio Resource Management (RRM) is crucial to properly handle the delivery of quality-of-service (QoS) in IMT-Advanced systems. Normally, cross-layer optimization (CLO) involving the PHY and MAC layers, is used to provide proper resource scheduling to the overall system. Significant researches on CLO techniques incorporating the APP layer are also performed, however, the studies on the performance parameters such as system throughput, packet loss ratio and delay for a certain time are lacking. Furthermore, compatibility with the legacy systems and standards was not considered as one of the major criteria for design. Consequently, a content-aware radio resource management (RRM) model employing cross-layer optimizer focusing on video conferencing/streaming application for single cell longterm evolution (LTE) system is proposed. Based on a developed look-up table, the cross-layer optimizer can dynamically adjust the transmitted data rate depending on the user-equipment (UE) or eNodeB SINR performance. It is shown that for video packet delivery in both uplink and downlink transmissions, the content-aware RRM model vastly outperforms the legacy LTE baseline model in terms of packet loss ratio for the same amount of throughput.

Author Biography

Muhammad Syahrir Johal, School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, UK LA1 4WA. Centre of Telecommunication Research and Innovation, Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia.

PhD Student,

School of Computing and Communications,

InfoLab21

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Published

2017-04-15

How to Cite

Johal, M. S., Markarian, G., Awang Md Isa, A., & Dasril, Y. (2017). Content-Aware Radio Resource Management for IMT-Advanced. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2), 125–131. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1731

Issue

Vol. 9 No. 2: April - June 2017

Section

Articles

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