Pricing-based cross-layer scheduling and energy management over OFDM downlink networks

We focus on downlink scheduling and resource allocation for orthogonal frequency division multiplexing (OFDM) wireless networks. From a perspective of network operators, the base station (BS) will charge the downlink users to earn revenue and pay for electricity consumption. The aim of network operators is to achieve better profits while ensuring network stability. In the context of smart grid, the BS can harvest renewable energy and store energy in order to cut down electricity cost. The challenge is that it is hard to obtain the accurate statistic knowledge of electricity price, random rate requests and renewable energy. Furthermore, we have to deal with the dynamic data rate requests from downlink users with heterogeneous quality of service (QoS) requirements. To handle the coupling between congestion control, energy consumption and radio resource allocation, we propose a pricing-based crosslayer scheduling and energy management algorithm PCSM based on Lyapunov optimization: the energy management can well regulate the electricity charging rate in case of interrupting the downlink service; the data rate pricing-based congestion control scheme collects proper revenue by setting data rate price to carry out flow control and profit maximization; the radio resource allocation can achieve adaptive allocation by using cross-layer information from the network layer as well as energy storage condition. Theoretical analysis shows that it can achieve a near-optimal performance when stabilizing the network and that its effectiveness is also validated through simulation results.