Long-Term Power Procurement Scheduling Method for Smart-Grid Powered Communication Systems - 2018


With the emergence of good grids, adopting dynamic energy pricing models has become both doable and desirable. With such a pricing dynamicity, great savings in energy prices can be achieved in telecommunication systems when energy is procured efficiently through carefully designed real-time resource schedulers. Broadly speaking, existing scheduling algorithms can be categorized into 2 categories: on-line and off-line. Off-line algorithms don't seem to be sensible just as a result of of their want for previous knowledge of future system data. In this Project, we tend to propose an efficient online power procurement and allocation scheduler that maximizes a long-term system utility perform while not the necessity for prior knowledge of future system info, where the system utility operate is expressed in such a way that the gain coming back from serving the users and the price of the procured energy are traded off for each other. We tend to propose an approach that enables us to derive closed-type instantaneous energy procurement and resource allocations that are functions only of the particular instantaneous system parameters. Our approach computes the optimal power procurement and users' allocation per time wring an online fashion with terribly low computational complexity. Using simulations, we have a tendency to study the efficiency of the proposed approach underneath numerous parameters and quantify the energy costs that our approach will doubtless save.

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