publication . Conference object . 2018

Optimal Direct Load Control of Renewable Powered Small Cells: Performance Evaluation and Bounds

Nicola Piovesan; Marco Miozzo; Paolo Dini;
Open Access English
  • Published: 11 Jun 2018
In this paper, we propose an optimal direct load control of renewable powered small base stations based on Dynamic Programming. The optimization is represented using Graph Theory and the problem is stated as a Shortest Path problem. The proposed optimal algorithm is able to adapt to the varying conditions of renewable energy sources and traffic demands. We analyze the optimal ON/OFF policies considering different energy and traffic scenarios. Then, we evaluate network performance in terms of system drop rate and grid energy consumption. The obtained results are compared with a greedy approach. This study allows to elaborate on the behavior and performance bounds...
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free text keywords: Mobile Networks, Energy Sustainability, Optimal Control, Demand Response, Dynamic Programming, Direct Load Control, Computer science, Shortest path problem, Renewable energy, business.industry, business, Grid, Energy consumption, Mathematical optimization, Dynamic programming, Base station, Graph theory, Network performance
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Sustainable CellulAr networks harVEstiNG ambient Energy
  • Funder: European Commission (EC)
  • Project Code: 675891
  • Funding stream: H2020 | MSCA-ITN-ETN
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Conference object . 2018
Provider: ZENODO
Conference object . 2018
Provider: Crossref
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