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Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced

Mohd Ramli, Huda Adibah and Mohd. Isa, Farah Nadia and Asnawi, Ani Liza and Jusoh, Ahmad Zamani and Azman, Amelia Wong (2019) Urgency-aware scheduling algorithm for downlink cognitive long term evolution-advanced. In: 2019 IEEE 89th Vehicular Technology Conference (VTC Spring), 28 April-1st May 2019, Kuala Lumpur.

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Long Term Evolution-Advanced experiences an increasing demand for more radio spectrums to support the escalating demands of Real-Time (RT) and Non Real-Time (NRT) multimedia contents. However most usable radio spectrums have already been licensed. A number of studies reported that some portions of licensed radio spectrums are underutilized. To support the demand for more radio spectrums, cognitive LTE-Advanced that aggregates the LTE-Advanced current radio spectrums with the underutilized licensed radio spectrums from another system via cognitive radio is introduced. Given that packet scheduling is important in meeting the required Quality of Service (QoS) of multimedia contents, this paper proposes an Urgency-Aware Scheduling (UAS) algorithm for use in the downlink cognitive LTE-Advanced. The UAS algorithm takes the required QoS of a user, urgency of each packet, average achievable data rate and average throughput when selecting users to receive packets. Simulation results demonstrate that the proposed algorithm can significantly optimize the number of cognitive LTE-Advanced users with satisfactory RT QoS whilst having acceptable QoS for the NRT packets

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 4535/74759
Uncontrolled Keywords: Cognitive radio; Long Term Evolution-Advanced; packet scheduling; quality of service; multimedia contents
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Sr Huda Adibah Mohd Ramli
Date Deposited: 25 Oct 2019 15:52
Last Modified: 22 Jul 2022 16:00
URI: http://irep.iium.edu.my/id/eprint/74759

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