可再生能源供电异构蜂窝网络中基于拓扑势的用户接入算法

可再生能源供电的蜂窝网络相关研究已经成为绿色无线网络热点研究内容之一. 针对可再生能源供电异构蜂窝网络场景,提出了一种基于拓扑势的用户接入算法,实现基站间能量均衡与负载均衡的折中. 定义用户与基站间拓扑势,综合考虑用户业务量、用户与基站间信道容量、基站可用能量,衡量基站对用户的吸引程度;将基站所接入用户拓扑势总和定义为基站效用值,并给出了基站间效用公平的用户接入最优化问题;提出了一种迭代方法求解最优化问题,通过用户与基站间信息交互与迭代更新完成用户接入基站选择,均衡基站间能量与负载. 仿真结果表明,所提算法在保证基站间负载均衡的同时充分利用了基站收集的可再生能源,实现了基站间能量均衡.

Topology Potential Based User Association for Heterogeneous Cellular Networks with Renewable Energy Supply

Research on heterogeneous cellular networks with renewable energy supply has drawn much at-tention in the green wireless networks research field. In the heterogeneous cellular networks with renew-able energy supply, a topology potential based user association algorithm is proposed, which can give a tradeoff between energy balancing and load balancing among base stations ( BSs) . Firstly, the topology potential of users and BSs is defined, which takes the user traffic load, channel capacity between users and BSs, the available renewable energy of BSs into consideration to present the attraction of BSs to us-ers. Then, the BS utility is defined as the sum of the topology potential value of all the associated users. The user association optimization problem for BS utility fairness is modeled, which is solved by the pro-posed iteration method. Accordingly, the user association is performed by information exchange and itera-tion between users and BSs, which balances the energy and traffic among BSs. Simulation results show that, the proposed algorithm can achieve load balancing while make the best of renewable energy harves-ted by BSs, i. e. , the use of renewable energy among is balanced.