Adaptive radio resource allocation to optimize throughput in multi-cell energy harvesting wireless networks

Energy harvesting is necessary to make the wireless network self-sustaining and self-organizing regardless of the traditional power grid. How to allocate the limited radio resources in the energy harvesting wireless network is a challenging work. This paper focuses on optimizing the time and power related resources in the multi-cell scenario to maximize the throughput constraining of the changeable energy in the base station. The optimal off-line resource allocation strategy is proposed, based on analysis of structural properties of the optimal total power sequences. To decrease the complexity of the optimal solution, a low complexity suboptimal off-line algorithm is presented based on the nature of the concave function. Furthermore, inspired by the off-line algorithm, an on-line resource allocation algorithm is proposed as well. Simulation results show the suboptimal offline algorithm closely tracks the performance of the optimal solution. And the proposed on-line algorithm also has brilliant performance compared with several kinds of algorithms under different system settings.