Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks

Robert Webster, Kumudu MUNASINGHE, Abbas Jamalipour

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    3 Citations (Scopus)

    Abstract

    As the Smart Grid continues to develop and become a major part of each nation's most significant piece of infrastructure, the power grid, it will require a robust and efficient communications network. The data transmitted by the Smart Grid is vital to the security and reliability of the power grid and increases its efficiency and fault handling abilities. Also, Smart Grid data should be transmitted with highest priority to decrease latency and provide high accuracy. However, wireless communications networks are already burdened with high traffic from increasing mobile, tablet and fixed broadband services. Therefore the telecommunication resources must be efficiently allocated to ensure continuing high QoS for pre-existing users and also enable Smart Grid applications to operate within strict latency, accuracy, and reliability constraints. This research utilizes population theory Lotka-Volterra (LV) equations to optimally share telecommunications subcarriers between User Equipment (UE). The proposed algorithm incorporating LV equations easily adapts to the dynamics of a telecommunications environment and provides higher average throughput than the Proportional Rates Constraints algorithm and the Maximum Sum Rate algorithm. The LV algorithm was also able to pre-allocate subcarriers to Smart Grid UEs to ensure reduced transmission latency thereby ensuring the strict communications requirements of the Smart Grid are satisfied.
    Original languageEnglish
    Title of host publicationIEEE International Conference on Smart Grid Communications
    EditorsTadeusz A Wysocki, Beata J Wysocki
    Place of PublicationUSA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages398-403
    Number of pages6
    ISBN (Print)9781479949342
    DOIs
    Publication statusPublished - 2015
    Event2014 IEEE International Conference on Smart Grid Communications - Venice, Venice, Italy
    Duration: 3 Nov 20146 Nov 2014

    Conference

    Conference2014 IEEE International Conference on Smart Grid Communications
    CountryItaly
    CityVenice
    Period3/11/146/11/14

    Fingerprint

    Resource allocation
    Wireless networks
    Telecommunication
    Telecommunication networks
    Telecommunication traffic
    Quality of service
    Throughput
    Communication

    Cite this

    Webster, R., MUNASINGHE, K., & Jamalipour, A. (2015). Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. In T. A. Wysocki, & B. J. Wysocki (Eds.), IEEE International Conference on Smart Grid Communications (pp. 398-403). USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/smartgridcomm.2014.7007679
    Webster, Robert ; MUNASINGHE, Kumudu ; Jamalipour, Abbas. / Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. IEEE International Conference on Smart Grid Communications. editor / Tadeusz A Wysocki ; Beata J Wysocki. USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 398-403
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    abstract = "As the Smart Grid continues to develop and become a major part of each nation's most significant piece of infrastructure, the power grid, it will require a robust and efficient communications network. The data transmitted by the Smart Grid is vital to the security and reliability of the power grid and increases its efficiency and fault handling abilities. Also, Smart Grid data should be transmitted with highest priority to decrease latency and provide high accuracy. However, wireless communications networks are already burdened with high traffic from increasing mobile, tablet and fixed broadband services. Therefore the telecommunication resources must be efficiently allocated to ensure continuing high QoS for pre-existing users and also enable Smart Grid applications to operate within strict latency, accuracy, and reliability constraints. This research utilizes population theory Lotka-Volterra (LV) equations to optimally share telecommunications subcarriers between User Equipment (UE). The proposed algorithm incorporating LV equations easily adapts to the dynamics of a telecommunications environment and provides higher average throughput than the Proportional Rates Constraints algorithm and the Maximum Sum Rate algorithm. The LV algorithm was also able to pre-allocate subcarriers to Smart Grid UEs to ensure reduced transmission latency thereby ensuring the strict communications requirements of the Smart Grid are satisfied.",
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    Webster, R, MUNASINGHE, K & Jamalipour, A 2015, Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. in TA Wysocki & BJ Wysocki (eds), IEEE International Conference on Smart Grid Communications. IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 398-403, 2014 IEEE International Conference on Smart Grid Communications, Venice, Italy, 3/11/14. https://doi.org/10.1109/smartgridcomm.2014.7007679

    Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. / Webster, Robert; MUNASINGHE, Kumudu; Jamalipour, Abbas.

    IEEE International Conference on Smart Grid Communications. ed. / Tadeusz A Wysocki; Beata J Wysocki. USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 398-403.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    Webster R, MUNASINGHE K, Jamalipour A. Optimal Resource Allocation for Smart Grid Applications in High Traffic Wireless Networks. In Wysocki TA, Wysocki BJ, editors, IEEE International Conference on Smart Grid Communications. USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 398-403 https://doi.org/10.1109/smartgridcomm.2014.7007679