EAGER: REPWiNet: Renewable Energy Powered Wireless Networks - Architecture, Protocols and Implementations

该项目旨在通过使用可再生能源为无线接入网络供电，从而提供节能通信。设想无线接入网络和电网以分布式方式部署，其中分布式基站消耗较少可由可再生能源产生的电力。应用优化理论和博弈论研究无线接入网与电网之间的相互作用，将微网的功率分配融入无线接入网的设计和优化中，优化无线接入网的运行；同时考虑用户用电需求（无线接入网络）和分布式能源（可再生能源发电机）的特点，设计微电网的运行方式。该研究探索了将可再生能源应用于无线网络的潜力，并刺激了可再生能源在帮助绿色社会和减少环境碳足迹方面的大规模应用。预计会有两个主要结果：1)优化可再生能源供电无线网络（REPWiNet）运行的算法，以及2)协调无线接入网络与底层电网的通信协议。从设计REPWiNet中获得的见解和结果不仅将为设计无线接入网络提供指导，还将为设计微电网中的配电和协调提供指导。研究结果将在网站上公布，并提交给期刊发表和在高级会议上发言。

This project aims to provision energy-efficient communications by powering wireless access networks with renewable energy. Wireless access networks and the power grid are envisioned to be deployed in a distributed manner in which a distributed base station consumes less amount of power that can be generated by renewable energy. Optimization theory and game theory are applied to study the interaction between the wireless access networks and the power grids, to optimize the operation of wireless access networks by integrating the power distribution of the micro grid into the design and optimization of the wireless access networks, and to design the operation of the micro grid by considering characteristics of both the power demand of the consumers (wireless access networks) and the distributed energy resources (renewable power generators). The research explores the potential of applying renewable energy into powering wireless networks, and stimulates the large scale application of renewable energy in helping green the society and reduce the carbon footprint of the environment. Two major results are anticipated: 1) the algorithms that optimize the operation of renewable energy powered wireless networks (REPWiNet), and 2) the communication protocols that coordinate the wireless access network with the underlying power grids. The insights and results derived from designing REPWiNet will provide guidelines not only for designing wireless access networks but also for designing the power distribution and coordination in micro grids. Research results will be posted on a website as well as submitted for publications in journals and presentations at premium conferences.