中文摘要：

针对多层异构蜂窝网中资源分配和节能问题,本文基于随机几何模型利用分布式配对算法实现了用户连接和资源分配的联合优化,并利用分层休眠机制提升了系统的整体能效。首先,采用随机几何工具对不同类型的基站进行建模,在建立模型的基础上提出用户QoS约束下的最小化系统总功耗的联合优化方案,然后将该方案分解简化为用户连接资源分配和基站休眠两个子问题,并分别利用稳定配对算法和基于投票法的分层休眠机制加以解决。仿真和分析结果表明本文方法可以显著提升系统能效,与已有的休眠策略相比具有更低的用户平均中断比。

英文摘要：

In order to enhance spectral and energy efficiency in heterogeneous cellular networks,we used distributed stable matching to solve user association and resource allocation problems and utilized a hierarchical sleep mechanism to improve energy efficiency with modeling various base stations by stochastic geometry tools. Firstly,a joint optimization of minimized total power consumption based on the system model was proposed,which was under the constraint of user＇s QoS request.Then we decoupled it into two sub-problems,which were user association with resource allocation and base station sleep respectively. Finally we used stable matching algorithm and voting-based hierarchical sleep mechanism to solve above problem by oneself. Simulation results show that our scheme can effectively decrease system energy consumption,and has a lower user blocking ratio compared with existing sleep mechanisms.