QoS-Aware Downlink Scheduling Algorithm for LTE Networks: A Case Study on Edge Users

dc.contributor.author Gungor, V. Cagri
dc.contributor.author Uyan, O. Gokhan
dc.contributor.authorID 0000-0003-3922-1647 en_US
dc.contributor.department AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.date.accessioned 2021-07-12T11:59:24Z
dc.date.available 2021-07-12T11:59:24Z
dc.date.issued 2017 en_US
dc.description.abstract 4G/LTE (Long Term Evolution) is the state of the art wireless mobile broadband technology. 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, the performance of existing downlink scheduling algorithms has been investigated in two ways. First, the performance of the algorithms has been investigated in terms of throughput and fairness metrics. Second, a new quality of service-aware (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, has been proposed and evaluated. In addition, a novel QoS-aware downlink-scheduling algorithm, which increases the QoS-aware fairness and overall throughput of the edge users, has been proposed. en_US
dc.identifier.issn 2165-0608
dc.identifier.uri https://hdl.handle.net/20.500.12573/859
dc.language.iso eng en_US
dc.publisher IEEE345 E 47TH ST, NEW YORK, NY 10017 USA en_US
dc.relation.journal 2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject QoS-Aware Fairness en_US
dc.subject LTE en_US
dc.subject 4G en_US
dc.subject Scheduling en_US
dc.subject Resource Allocation en_US
dc.title QoS-Aware Downlink Scheduling Algorithm for LTE Networks: A Case Study on Edge Users en_US
dc.type conferenceObject en_US

Files

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.44 KB
Format:
Item-specific license agreed upon to submission
Description: