A Population Theory Inspired Solution to the Optimal Bandwidth Allocation for Smart Grid Applications

The establishment of a previously non-existent data class known as the Smart Grid will pose many difficulties on current and future communication infrastructure. It is imperative that the Smart Grid, as the reactionary and monitory arm of the Power Grid, be able to communicate effectively between grid controllers and individual UEs. Like most wireless sensor networks (WSN), the data sent by individual UEs has limited usefulness and precision. Collection of a large amount of data produces information that is useful to the system and which can be acted upon. However, this increases the communication traffic in an environment where communication traffic from other mobile users is already high. By ensuring effective communications between Distributed Generators and the Smart Grid, renewable resources that are subject to large fluctuations can be utilized more effectively and efficiently. This research proposes that a Proportional Fairness Algorithm, when combined with Lotka-Volterra Population Theory, will ensure fair bandwidth allocation for all User Equipment, whilst guaranteeing Smart Grid operating constraints such as minimal latency. Furthermore, the optimization of the bandwidth allocation maximizes Smart Grid Quality of Service, while also minimizing the decrease in Non-Smart Grid UE Quality of Experience