Comparison Data Traffic Scheduling Techniques for Classifying QoS over 5G Mobile Networks

Mohammed Dighriri, Ali Saeed Dayem Alfoudi, Gyu Myoung Lee, Thar Baker, Rubem Pereira

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBNpeer-review

Abstract

Enhancing Quality of Service (QoS) in mobilenetworks is the key aim for mobile operators. Mobile networkstransport several forms of data traffic for real-time applications(i.e., video monitoring). These applications need to get theadvantage of QoS adaptation. Numerous scheduling techniquesare utilized at the router to assure the QoS of the mobilenetworks. Upcoming 5G mobile networks will be launched, hence, Human-Type-Communication (HTC) and Machine-to-Machine (M2M) data traffic are expected to increasedramatically over mobile networks, which results in growing thecapacity and raising high data rates. These networks areexpected to face challenges in cases of Radio Access Network(RAN) overload and congestion due to the massive smart devicesdata traffic with various QoS requirements. This paper presentsa comparison for data traffic scheduling techniques, which arePriority Queuing (PQ), First-In-First-Out (FIFO) and WeightedFair Queuing (WFQ). We consider to select a suitable data trafficscheduling technique in terms of QoS provisioning and helping5G network, also we propose models and algorithms forefficiently utilized the smallest unit of a RAN in a relay node byaggregating and slicing the data traffic of several M2M devices.
Original languageEnglish
Title of host publication2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA)
DOIs
Publication statusPublished - Mar 2017

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