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In heterogeneous networks (HetNets), how to improve spectrum efficiency is acrucial issue. Meanwhile increased energy consumption inspires networkoperators to deploy renewable energy sources as assistance to traditionalelectricity. Based on above aspects, we allow base stations (BSs) to sharetheir licensed spectrum resource with each other and adjust transmission powerto adapt to the renewable energy level. Considering the sharing fairness amongBSs, we formulate a multi-person bargaining problem as a stochasticoptimization problem. We divide the optimization problem into three parts: datarate control, resource allocation and energy management. An online dynamiccontrol algorithm is proposed to control admission rate and resource allocationto maximize the transmission and sharing profits with the least grid energyconsumption. Simulation results investigate the time-varying data control andenergy management of BSs and demonstrate the effectiveness of the proposedscheme.

Green Resource Allocation and Energy Management in Heterogeneous Small Cell Networks Powered by Hybrid Energy