Enhanced traffic scheduling algorithm by implementing committed information rate (Cir) in broadband systems for a disaster-stricken footprint in telecommunications

In an emergency or disaster scenario, the need to communicate will be critical in saving a life; the telecommunication facilities are expected to deliver even though affected as well. Consequently, when signal traffic increases, service providers do not have enough capacity to support such as DRP on...

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Bibliographic Details
Main Authors: Africa, Aaron Don M., Dimaala, Fernando M.
Format: text
Published: Animo Repository 2020
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2393
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3392/type/native/viewcontent
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Institution: De La Salle University
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Summary:In an emergency or disaster scenario, the need to communicate will be critical in saving a life; the telecommunication facilities are expected to deliver even though affected as well. Consequently, when signal traffic increases, service providers do not have enough capacity to support such as DRP only provides connectivity assurance. There is a need to establish an alternative and efficient broadband telecommunication network with consideration to channel estimation and has high transport capacity. The scheduling scheme plays an important role in the quality of service (QoS) provision. IEEE 802.16 specification does not describe the scheduling scheme. The existing models involved tagging the packets with QoS parameters. This will always ensure that prioritization will take place based on this labeling scheme. In an emergency scenario, it will post a different challenge as a new “priority” type of information needs to be processed given its urgency. The network needs to schedule this traffic appropriately and strike a balance between processing the requirements dictated by its tagging and the given channel capacity, ensuring that the packets of information will have acceptable allocation. This paper proposes an algorithm model to support the latter requirements based on Committed Information Rate (CIR) experimentally performed in a testbed environment. © 2020, World Academy of Research in Science and Engineering. All rights reserved.