论文标题
由混合能源提供动力的异质小细胞网络中的绿色资源分配和能源管理
Green Resource Allocation and Energy Management in Heterogeneous Small Cell Networks Powered by Hybrid Energy
论文作者
论文摘要
在异质网络（HETNETS）中，如何提高频谱效率是一个至关重要的问题。同时，增加的能源消耗激发了网络运营商部署可再生能源的帮助，以帮助传统电力。基于上述方面，我们允许基站（BSS）相互共享其许可的光谱资源，并调整传输功率以适应可再生能源水平。考虑到BSS之间的共享公平性，我们将多人讨价还价问题作为随机优化问题。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入学率和资源分配，以最大程度地利用电网能源消耗的传输和共享利润。仿真结果研究了BSS的随时间变化的数据控制和能量管理，并证明了拟议方案的有效性。
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.
