A cooperative game-theoretic dynamic resource allocation (CGDRA) approach is proposed to management the co-channel interference caused by macrocell and femtocells sharing the same spectrum in two-tie networks. The transmit power of the macrocell users is allocated according to the propagation loss and the QoS demands. Then the product of all the femtocells' data rate is formulated as an utility function of the cooperative game-theoretic model with the constraints of the femtocells' QoS demand and the total transmit power. An approximate optimal solution with low complexity is obtained by applying both the dynamic sub-carrier allocation (DSA) algorithm and adaptive power allocation (APA) algorithm. So that the frequency resource and the transmit power of the two-tie network are allocated optimally and the transmit rate can be improved. Simulation results show that the CGDRA approach obtains a good trade-off between the transmit rate and the fairness. The CGDRA approach gets about 30% data rate increase compared with the max-min algorithm, and achieves a better fairness than the max-rate fairness algorithm does.%针对双层网络模型中宏小区用户层和毫微微小区用户层存在共信道信号互相干扰的问题,提出了一种协作博弈的动态资源分配(CGDRA)方法.该方法首先根据宏小区用户的路径损耗和QoS需求,对宏小区用户层的发射功率进行分配,然后以所有毫微微小区用户的数据速率之积作为效用函数,以毫微微小区用户的QoS需求为约束条件,构建了毫微微小区用户层总发射功率受限的协作博弈模型,并采用动态子载波分配算法和自适应功率分配算法得到了该博弈模型的低复杂度近似最优解,优化分配了毫微微小区用户的频谱资源和发射功率,提高了系统的传输速率.仿真结果表明:在双层网络中,CGDRA方法在系统数据速率和用户的公平性上获得了较好的折中；与最大最小公平性算法相比,系统的数据速率提高了30％；与最大速率算法相比更加公平.
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