针对异构无线网络(Heterogeneous Wireless Networks,HWNs)负载平衡问题,提出了一种基于群体博弈的用户网络关联方案.首先将HWNs系统用户网络关联问题抽象成一个群体博弈模型,根据用户在网络中得到的收益函数,证明该群体博弈满足势博弈的条件.利用复制动态作为演化动态工具,证明演化的结果最终会收敛到纳什均衡,这个特性确保了每个用户关联到一个效用最优的网络.然后证明纳什均衡点能最大化整个HWNs系统的吞吐量,保证了纳什均衡的有效性.最后,基于复制动态原理提出了用户网络关联算法.仿真实验模拟了用户网络选择过程,得到了均衡点,验证了理论分析的结果.%Load balancing is an important issue in Heterogeneous Wireless Networks (HWNs). We propose a user-network association algorithm based on population games to solve the prob-lem. Firstly the user-network association is modeled as a population games which satisfies the re-quirement of potential games relying on the user utility function in access network. By means of replicator dynamics, we demonstrate that evolutionary result eventually converges to Nash Equi-librium. This makes sure each user connecting to a network with the maximum payoff. Moreo-ver, it is proved that the throughput of whole HWNS system can be maximized after reaching Nash Equilibrium, which ensures the efficiency of Nash Equilibrium. Finally, a user-network as-sociation algorithm is presented with the principle of replicator dynamics. Simulation shows that Nash Equilibrium point is achieved and the results of theoretical analysis are verified.
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