Abstract: In wireless Energy Harvesting（EH） cellular networks, a heterogeneous network model is established which consists of a macro base station, several small base stations, several relay stations, and a few mobile stations in the flat Rayleigh fading environments. All of stations are only powered by the energy harvested in the surrounding wireless environments. Based on this model, a novel Mobile Association algorithm based on the Weighted Signal-to-Noise Ratio decision（WSNR-MA）, is proposed. In WSNR-MA algorithm, the mobile station can not only associate the macro base station and small base stations through the direct communication links, but also can associate the macro base station through the relay links. The association decision depends on both the channel state information and the weighted signal-to-noise ratio threshold defined by the product of a weight function and a signal-to-noise ratio threshold. Expressions of the outage probability of system and average channel capacity have been derived in succession. The simulation results show that the WSNR-MA algorithm is flexible in balancing the traffic load among multiple types of stations, and can achieve a larger system channel capacity and better outage performance than the existing methods, which has positive significance.

Key words: wireless heterogeneous network, Energy Harvesting（EH）, mobile association, base station, relay station

摘要： 在无线EH蜂窝网络中，建立了一个异构网络模型，这个模型由宏基站、小基站、中继站以及移动台组成。所有站点仅由周围无线环境中收集的能量供电。基于这个模型，研究了一种基于加权信噪比决策的新型移动关联方法。在方法中，移动台不仅可以通过直连链路关联到宏基站和小基站，也可以通过中继链路关联到宏基站，关联取决于信道状态信息和由权重函数和信噪比门限的乘积所定义的加权信噪比门限。此外，推导了系统中断概率和平均信道容量的表达式，仿真结果表明，WSNR-MA方法在多类型站点间的业务负载均衡中具有灵活性，比现有的方法能够获得更大的系统信道容量和更好的中断性能，具有积极的作用。

关键词: 无线异构网络, 能量收集, 移动台关联, 基站, 中继站