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QoS‐aware LTE‐A downlink scheduling algorithm: A case study on edge users
Author(s) -
Uyan Osman Gokhan,
Gungor Vehbi Cagri
Publication year - 2019
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4066
Subject(s) - computer science , scheduling (production processes) , quality of service , fairness measure , telecommunications link , computer network , maximum throughput scheduling , proportionally fair , base station , performance metric , lte advanced , throughput , quality of experience , wireless broadband , algorithm , distributed computing , fair share scheduling , wireless , wireless network , round robin scheduling , telecommunications , mathematical optimization , mathematics , management , economics
Summary 4G/LTE‐A (Long‐Term Evolution—Advanced) is the state of the art wireless mobile broadband technology. It allows users to take advantage of high Internet speeds. It makes use of the OFDM technology to offer high speed and provides the system resources both in time and frequency domain. A scheduling algorithm running on the base station holds the allocation of these resources. In this paper, we investigate the performance of existing downlink scheduling algorithms in two ways. First, we look at the performance of the algorithms in terms of throughput and fairness metrics. Second, we suggest a new QoS‐aware fairness criterion, which accepts that the system is fair if it can provide the users with the network traffic speeds that they demand and evaluate the performance of the algorithms according to this metric. We also propose a new QoS‐aware downlink scheduling algorithm (QuAS) according to these two metrics, which increases the QoS‐fairness and overall throughput of the edge users without causing a significant degradation in overall system throughput when compared with other schedulers in the literature.