Linear Programming Based Energy Cooperation in Cellular Networks Powered by Hybrid Energy

Abstract

In order to improve the throughput of network and ensure the quality of user experience, more small stations has been densely deployed in cellular networks. And consumption of fossil fuel will increase rapidly, which has brought serious challenges to the mobile operators in cost control and the ecological environment. With the development of renewable energy and smart grid, great changes have taken place in energy structure and energy utilization of the cellular network. The future trend of cellular networks will present a multi-source power. Traditional grid as the main body, centralized powering the base station form the wide area power grid, to maintain the basic power of wireless network. As a supplement, green base station can combine the set of equipment, base station, storage battery and charge controller together to achieve micro electric power network by multi-sources energy harvesting technology. However, the harvest of the renewable energy is influenced by the time-space instability. The demand of users and the consumption of the cellular networks are also influenced by space-time instability. Therefore, this paper proposes a model of the flexible configuration of energy through the energy management unit(EMU), through energy cooperation between base stations and smart grid, we can get optimal energy configuration. By analyzing the scenario of N time slots, m base station, we solve the optimal energy profiles for each time slots according to the greedy algorithm and Linear programming, and then the relevant simulation will validate the algorithm. By using the algorithm to realize the energy cooperation according to the demands of each node, we can recede the instability of the process of energy harvesting. And we can achieve the goal of optimizing the efficient use of clean energy.