Analysis and Resource Management for Sustainable Wireless Networks

Abstract

Using green energy sources to power wireless networks are believed as one of the efficient methods to mitigate the detrimental effects of conventional energy production or to enable deployment in off-grid locations. However, the dynamic characteristics of green energy sources in their availability and capacity have raised new challenges for related research issues like energy modeling and resource allocation in sustainable wireless networks. In this chapter, we focus on designing analytical energy modeling and admission control schemes to sustain the performance of sustainable wireless mesh network. specifically, our target is to maximize the energy sustainability of the network, or equivalently, to minimize the failure probability that the mesh APs deplete their energy and go out of service due to the unreliable energy supply. To this end, we use a $G/G/1(/N)$ queue with arbitrary patterns of energy charging and discharging to model the energy buffer of a green mesh AP. Based on diffusion approximation, the transient evolution of the queue length and the energy depletion duration are obtained. Then, an adaptive resource management scheme is proposed to balance the traffic load, while minimizing the failure probability at green mesh APs. We design a distributed admission control strategy to further enhance the network resource utilization and energy sustainability. Extensive simulation results show that our proposed schemes outperform some existing state-of-the-art solutions with considering the first and second order statistics of the energy charging and discharging processes at each green mesh AP.