Intelligent based Packet Scheduling Scheme using Internet Protocol/Multi-Protocol Label Switching (IP/MPLS) Technology for 5G. Design and Investigation of Bandwidth Management Technique for Service-Aware Traffic Engineering using Internet Protocol/Multi-Protocol Label Switching (IP/MPLS) for 5G

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dc.contributor.advisorHu, Yim Fun
dc.contributor.advisorAbd-Alhameed, Raed
dc.contributor.authorMustapha, Oba Z.
dc.date.accessioned2022-03-09T10:23:25Z
dc.date.available2022-03-09T10:23:25Z
dc.date.awarded2019
dc.date.issued2019
dc.description.abstractMulti-Protocol Label Switching (MPLS) makes use of traffic engineering (TE) techniques and a variety of protocols to establish pre-determined highly efficient routes in Wide Area Network (WAN). Unlike IP networks in which routing decision has to be made through header analysis on a hop-by-hop basis, MPLS makes use of a short bit sequence that indicates the forwarding equivalence class (FEC) of a packet and utilises a predefined routing table to handle packets of a specific FEC type. Thus header analysis of packets is not required, resulting in lower latency. In addition, packets of similar characteristics can be routed in a consistent manner. For example, packets carrying real-time information can be routed to low latency paths across the networks. Thus the key success to MPLS is to efficiently control and distribute the bandwidth available between applications across the networks. A lot of research effort on bandwidth management in MPLS networks has already been devoted in the past. However, with the imminent roll out of 5G, MPLS is seen as a key technology for mobile backhaul. To cope with the 5G demands of rich, context aware and multimedia-based user applications, more efficient bandwidth management solutions need to be derived. This thesis focuses on the design of bandwidth management algorithms, more specifically QoS scheduling, in MPLS network for 5G mobile backhaul. The aim is to ensure the reliability and the speed of packet transfer across the network. As 5G is expected to greatly improve the user experience with innovative and high quality services, users’ perceived quality of service (QoS) needs to be taken into account when deriving such bandwidth management solutions. QoS expectation from users are often subjective and vague. Thus this thesis proposes the use of fuzzy logic based solution to provide service aware and user-centric bandwidth management in order to satisfy requirements imposed by the network and users. Unfortunately, the disadvantage of fuzzy logic is scalability since dependable fuzzy rules and membership functions increase when the complexity of being modelled increases. To resolve this issue, this thesis proposes the use of neuro-fuzzy to solicit interpretable IF-THEN rules.The algorithms are implemented and tested through NS2 and Matlab simulations. The performance of the algorithms are evaluated and compared with other conventional algorithms in terms of average throughput, delay, reliability, cost, packet loss ratio, and utilization rate. Simulation results show that the neuro-fuzzy based algorithm perform better than fuzzy and other conventional packet scheduling algorithms using IP and IP over MPLS technologies.en_US
dc.description.sponsorshipTertiary Education Trust Fund (TETFUND)en_US
dc.identifier.urihttp://hdl.handle.net/10454/18770
dc.language.isoenen_US
dc.publisher.departmentFaculty of Engineering and Informaticsen_US
dc.publisher.institutionUniversity of Bradfordeng
dc.rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.eng
dc.subjectBandwidth managementen_US
dc.subjectPacket schedulingen_US
dc.subjectInternet Protocol (IP)en_US
dc.subjectMulti-Protocol Label Switching (MPLS)en_US
dc.subjectFuzzy algorithmen_US
dc.subjectNeuro-fuzzy algorithmen_US
dc.subjectQuality of Serviceen_US
dc.subjectPacket Processing Algorithm (PPA)en_US
dc.subjectTraffic engineering (TE)en_US
dc.subjectWeighted Fair Queuing (WFQ)en_US
dc.titleIntelligent based Packet Scheduling Scheme using Internet Protocol/Multi-Protocol Label Switching (IP/MPLS) Technology for 5G. Design and Investigation of Bandwidth Management Technique for Service-Aware Traffic Engineering using Internet Protocol/Multi-Protocol Label Switching (IP/MPLS) for 5Gen_US
dc.typeThesiseng
dc.type.qualificationleveldoctoralen_US
dc.type.qualificationnamePhDen_US
dspace.entity.typePublication
refterms.dateFOA2022-03-09T10:23:25Z
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