  In heterogeneous networks (HetNets), how to improve spectrum efficiency is a
crucial issue. Meanwhile increased energy consumption inspires network
operators to deploy renewable energy sources as assistance to traditional
electricity. Based on above aspects, we allow base stations (BSs) to share
their licensed spectrum resource with each other and adjust transmission power
to adapt to the renewable energy level. Considering the sharing fairness among
BSs, we formulate a multi-person bargaining problem as a stochastic
optimization problem. We divide the optimization problem into three parts: data
rate control, resource allocation and energy management. An online dynamic
control algorithm is proposed to control admission rate and resource allocation
to maximize the transmission and sharing profits with the least grid energy
consumption. Simulation results investigate the time-varying data control and
energy management of BSs and demonstrate the effectiveness of the proposed
scheme.
