@inproceedings{dc03e14539614d698257908e17f89733,
title = "Optimized Resource Allocation in LTE Networks Incorporating Delay-Sensitive Smart Grid Traffic",
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.",
keywords = "Fairness, LTE, Lotka-Volterra, Optimization, Resource Allocation, Smart Grid",
author = "Robert Webster and Kumudu MUNASINGHE and Abbas Jamalipour",
year = "2016",
doi = "10.1109/SmartGridComm.2016.7778798",
language = "English",
isbn = "9781509040759",
series = "2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "423--428",
editor = "Abbas Jamalipour",
booktitle = "IEEE International Conference on Smart Grid Communications (SmartGridComm), 2016",
address = "United States",
note = "IEEE International Conference on Smart Grid Communications (SmartGridComm), SmartGridComm ; Conference date: 06-11-2016 Through 09-11-2016",
}