Quality-driven scheduling for Long-Term Evolution system

Authors:
Huda Adibah Mohd Ramli;Kumbesan Sandrasegaran;Rachod Patachaianand
Affiliations:
Faculty of Engineering and Information Technology, University of Technology, Sydney, 15 Broadway, Ultimo, NSW 2007, Australia/ International Islamic University Malaysia (/IIUM)/, P.O. Box 10 ...;Faculty of Engineering and Information Technology, University of Technology, Sydney, 15 Broadway, Ultimo, NSW 2007, Australia.;Faculty of Engineering and Information Technology, University of Technology, Sydney, 15 Broadway, Ultimo, NSW 2007, Australia
Venue:
International Journal of Mobile Communications
Year:
2011

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Abstract

This paper proposes a novel packet scheduling algorithm that extends Opportunistic and Delay Sensitive (ODS) algorithm to simultaneously support Guaranteed Bit Rate (GBR) and Non-GBR (NGBR) services over downlink Long Term Evolution (LTE) system. The proposed algorithm utilises Channel Quality Information (CQI), average throughput, type of services, packet delay and buffer information when allocating and assigning the available Radio Resource Units (RRUs) among the users. It is demonstrated that the proposed algorithm is more efficient in terms of maximising throughput and simultaneously satisfying the Quality of Service (QoS) requirements of GBR and NGBR services at acceptable levels.