Conference paper Open Access

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

Piovesan, Nicola; Miozzo, Marco; Dini, Paolo

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 of the system and gives a guidance for approximated policy search methods.

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Files (272.9 kB)
Name Size
Optimal Direct Load Control of Renewable.pdf
md5:4bdef5ac77b6840c8568b056060e3395 		272.9 kB Download
59
69
views
downloads
Views 59
Downloads 69
Data volume 18.8 MB
Unique views 58
Unique downloads 69
More info on how stats are collected.
Indexed in
Publication date:
April 15, 2018
DOI:
10.1109/WCNC.2018.8377448
Keyword(s):
Mobile Networks Energy Sustainability Optimal Control Demand Response Dynamic Programming Direct Load Control
Grants:
European Commission:
  • SCAVENGE - Sustainable CellulAr networks harVEstiNG ambient Energy (675891)
Meeting:
IEEE Wireless Communications and Networking Conference (WCNC 2018), Barcelona (Spain), 15-18 April, 2018
License (for files):
Creative Commons Attribution 4.0 International

Share

Cite as

Export