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.

在异构网络（HetNets）中，如何提高频谱效率是至关重要的问题。同时，能源消耗的增加激发了网络运营商部署可再生能源作为传统电力的辅助手段。基于上述方面，我们允许基站（BS）彼此共享其许可的频谱资源，并调整传输功率以适应可再生能源水平。考虑到基站之间的共享公平性，我们将多人议价问题表述为随机优化问题。我们将优化问题分为三个部分：数据速率控制，资源分配和能源管理。提出了一种在线动态控制算法来控制准入率和资源分配，以最大的传输效率和最小的电网能耗共享利润。