Adapting the conventional packet scheduling algorithms for simultaneous support of 5G multimedia traffic mix

Simultaneous support of multimedia traffic mixture with strict and contending Quality of Service (QoS) in the downlink Fifth Generation (5G) mobile wireless network is a challenging issue. In the 5G wireless network, packet scheduling is in charge to deliver multimedia packets to the end users such...

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Bibliographic Details
Main Authors: Mohamed Rasied, Thaahirah Shireen, Mohd Ramli, Huda Adibah, Abdul Rahman, Farah Diyana, Najeeb, Athaur Rahman
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2023
Subjects:
Online Access:http://irep.iium.edu.my/107071/7/107071_Adapting%20the%20conventional%20packet%20scheduling%20algorithms.pdf
http://irep.iium.edu.my/107071/8/107071_Adapting%20the%20conventional%20packet%20scheduling%20algorithms_Scopus.pdf
http://irep.iium.edu.my/107071/
https://ieeexplore.ieee.org/document/10153364
https://doi.org/10.1109/ICFDA58234.2023.10153364
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Summary:Simultaneous support of multimedia traffic mixture with strict and contending Quality of Service (QoS) in the downlink Fifth Generation (5G) mobile wireless network is a challenging issue. In the 5G wireless network, packet scheduling is in charge to deliver multimedia packets to the end users such that the scarce 5G radio resources are effectively used and the strict multimedia QoS is maintained for many users. Given that devising a new packet scheduling algorithm is time-consuming and requires additional effort, this paper slightly modifies several renowned conventional packet scheduling algorithms and evaluates their performance when simultaneously supporting Ultra-Reliable Low Latency Communication (uRLLC) and enhanced Mobile Broadband (eMBB) in the downlink 5G. The efficiency of the Modified Maximum-Largest Weighted Delay First (M-MLWDF) algorithm was demonstrated via computer simulation where the algorithm supports 112.9% more users over Modified Max-Rate (M-Max-Rate) and Modified Round Robin (M-RR) at the uRLLC QoS targets whilst meeting the target eMBB throughput.