智能电网驱动的无线网络系统资源优化配置研究

Research on Resource Allocation in Smart Grid Driven Wireless Networks

研究了一种智能电网驱动的微基站组成的无线网络系统。同时引入了一种双向能源交易机制与微基站配备有储能单元,解决可再生能源的随机性问题。为了在保证最坏情况下用户服务质量的同时,最小化预期的系统运行成本,提出了一个基于随机次梯度的分布式在线资源分配算法。通过大量仿真验证,该算法能实现降低接近60%的系统运行成本。

This paper investigates a smart grid driven wireless network system consisting of small base stations(SBSs).A two-way energy trading mechanism is introduced with the SBS equipped with an energy storage unit,in order to solve the stochastic problem of renewable energy.A distributed online resource allocation algorithm based on stochastic subgradient is proposed in order to minimize the expected system operation cost while ensuring the worst-case user service quality.The algorithm is verified through extensive simulations to achieve a reduction in system operating cost close to 60%.