Optimized Resource Allocation in LTE Networks Incorporating Delay-Sensitive Smart Grid Traffic

Robert Webster, Kumudu MUNASINGHE, Abbas Jamalipour

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

8 Citations (Scopus)

Abstract

The inclusion of a previously non-existent traffic class required by the Smart Grid poses many difficulties on OFDMA based wireless communication systems. In this paper, we develop a resource allocation algorithm based on the ecological research Lotka-Volterra equations. Each class of traffic is modelled as a species and they compete over the telecommunications resources. Constraints were then placed on the classes to ensure fairness between the traffic classes and improved average user throughput. Our results show a high level of fairness between competing classes of communication data, whilst ensuring Smart Grid packets attain their low delay constraints. Furthermore, we apply an optimization algorithm to ensure efficient allocation of subcarriers to Smart Grid periodic traffic. When compared against other resource allocation schemes, the proposed Lotka-Volterra solution provides low variability in performance. This shows that the resource allocation is able to adapt to changing channel conditions and still ensure fairness between competing user equipment of other traffic classes.

Original languageEnglish
Title of host publicationIEEE International Conference on Smart Grid Communications (SmartGridComm), 2016
EditorsAbbas Jamalipour
Place of PublicationNew York
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages423-428
Number of pages6
ISBN (Electronic)9781509040759
ISBN (Print)9781509040759
DOIs
Publication statusPublished - 2016
EventIEEE International Conference on Smart Grid Communications (SmartGridComm) - Sydney, Sydney, Australia
Duration: 6 Nov 20169 Nov 2016

Publication series

Name2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

Conference

ConferenceIEEE International Conference on Smart Grid Communications (SmartGridComm)
Abbreviated titleSmartGridComm
CountryAustralia
CitySydney
Period6/11/169/11/16

Fingerprint

Smart Grid
Resource Allocation
Resource allocation
Traffic
Fairness
Telecommunication
Communication systems
Throughput
Lotka-Volterra Equations
Lower Solution
Lotka-Volterra
Orthogonal Frequency Division multiple Access (OFDMA)
Data Communication
Communication
Telecommunications
Wireless Communication
Communication Systems
Class
Optimization Algorithm
Inclusion

Cite this

Webster, R., MUNASINGHE, K., & Jamalipour, A. (2016). Optimized Resource Allocation in LTE Networks Incorporating Delay-Sensitive Smart Grid Traffic. In A. Jamalipour (Ed.), IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016 (pp. 423-428). [7778798] (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016). New York: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SmartGridComm.2016.7778798
Webster, Robert ; MUNASINGHE, Kumudu ; Jamalipour, Abbas. / Optimized Resource Allocation in LTE Networks Incorporating Delay-Sensitive Smart Grid Traffic. IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016. editor / Abbas Jamalipour. New York : IEEE, Institute of Electrical and Electronics Engineers, 2016. pp. 423-428 (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016).
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abstract = "The inclusion of a previously non-existent traffic class required by the Smart Grid poses many difficulties on OFDMA based wireless communication systems. In this paper, we develop a resource allocation algorithm based on the ecological research Lotka-Volterra equations. Each class of traffic is modelled as a species and they compete over the telecommunications resources. Constraints were then placed on the classes to ensure fairness between the traffic classes and improved average user throughput. Our results show a high level of fairness between competing classes of communication data, whilst ensuring Smart Grid packets attain their low delay constraints. Furthermore, we apply an optimization algorithm to ensure efficient allocation of subcarriers to Smart Grid periodic traffic. When compared against other resource allocation schemes, the proposed Lotka-Volterra solution provides low variability in performance. This shows that the resource allocation is able to adapt to changing channel conditions and still ensure fairness between competing user equipment of other traffic classes.",
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Webster, R, MUNASINGHE, K & Jamalipour, A 2016, Optimized Resource Allocation in LTE Networks Incorporating Delay-Sensitive Smart Grid Traffic. in A Jamalipour (ed.), IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016., 7778798, 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, IEEE, Institute of Electrical and Electronics Engineers, New York, pp. 423-428, IEEE International Conference on Smart Grid Communications (SmartGridComm), Sydney, Australia, 6/11/16. https://doi.org/10.1109/SmartGridComm.2016.7778798

Optimized Resource Allocation in LTE Networks Incorporating Delay-Sensitive Smart Grid Traffic. / Webster, Robert; MUNASINGHE, Kumudu; Jamalipour, Abbas.

IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016. ed. / Abbas Jamalipour. New York : IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 423-428 7778798 (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016).

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

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Webster R, MUNASINGHE K, Jamalipour A. Optimized Resource Allocation in LTE Networks Incorporating Delay-Sensitive Smart Grid Traffic. In Jamalipour A, editor, IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016. New York: IEEE, Institute of Electrical and Electronics Engineers. 2016. p. 423-428. 7778798. (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016). https://doi.org/10.1109/SmartGridComm.2016.7778798