认知型飞蜂窝网络中的子信道分配与功率控制

为了解决宏蜂窝与飞蜂窝构成的两层异构网络上行干扰与资源分配问题，提出了一种在认知型飞蜂窝的双层异构网中结合子信道分配和功率控制进行资源分配的框架。通过对异构网中跨层干扰问题进行分析与建模，将求解最优子信道分配矩阵和用户发射功率矩阵作为干扰管理问题的解决方法。模型中认知型飞蜂窝网络子信道和飞蜂窝网络用户构成非合作博弈，双方利用效用函数最优值进行匹配，构成初始信道分配矩阵；再由接入控制器根据接入条件从初始信道分配矩阵中筛选用户，并优化接入用户的发射功率矩阵，得到最优子信道分配矩阵和功率矩阵。仿真结果表明，优化框架提高了双层异构网络中飞蜂窝网络用户的吞吐量和接入率，降低了异构网中跨层干扰。

Subchannel allocation and power control in cognitive femtocell networks

To solve the problems of uplink interference and wireless resource allocation,this paper proposes an optimization framework of joint subchannel allocation and power control based on cognitive femtocell cellular in two-tier heterogeneous network.By analyzing and modeling cross-tier interference in heterogeneous network,the optimal subchannel allocation matrix and power matrix are solved as a solution to the interference management.In the model of the non-cooperative game which is composed of subchannel user and femtocell user,the initial channel allocation matrix is formed by matching the optimal value of utility function.Then the user is selected from the initial channel allocation matrix according to the access conditions,and the power matrix is optimized to get the optimal subchannel allocation matrix and optimal power matrix.The simulation results show that the proposed framework can increase the throughput of femtocell users in two-tier heterogeneous network and the access success probability of femtocell users,as well as reduce the cross-tier interference.