认知无线网络自适应信道选择与功率分配

Cognitive Radio Networks Adaptive Channel Selection and Power Allocation

在认知无线电网络中,为了最大化次用户无线通信的信道容量,在次用户数据并行传输的场景下,提出了一种自适应信道选择和功率分配策略。该策略模型在不同信道条件下,受总功率、最小信道次用户满意度容量和主次用户碰撞概率阈值的约束,其实质是混合0-1型整数的非线性规划问题。它首先对模型进行变形,其次对变形后的模型采用拉格朗日法重构优化问题并用对偶分解、次梯度和牛顿更新方法确定松弛解,最后运用枚举法确定原混合0-1型整数的非线性规划的解。仿真表明该策略在信道容量和碰撞概率方面有不错的表现。

In the cognitive radio network,in order to maximize the channel capacity of the secondary user wireless communication,an adaptive channel selection and power allocation strategy is proposed in the scenario of secondary user data parallel transmission.The strategy model is constrained by the total power,the minimum channel sub-user satisfaction capacity and the primary and secondary user collision probability threshold under different channel conditions,and the essence is the nonlinear programming problem of mixed 0-1 integer.Firstly,the model is deformed.Then,the Lagrange method is used to reconstruct the optimization problem for the deformed model,and the relaxation solution is determined by dual decomposition,sub-gradient and Newton updating method.Finally,the enumeration method is used to determine the solution of nonlinear programming of the original mixed 0-1 integer.Simulations indicate that the strategy has a good performance in terms of channel capacity and collision probability.