论文部分内容阅读
针对卫星通信网频谱资源利用率低下的问题,以信道有效容量最大化为优化目标,提出了一种支持时延约束的卫星Underlay认知无线网络功率控制与优化算法.首先根据网络拓扑结构建立了功率干扰模型,通过引入时域信道相关系数,推导了完全与非完全信道环境下基于时延约束的认知用户有效容量优化目标函数,并利用Lagrange方法求解得到不同场景下认知用户的最佳功率调整策略,简化了功率控制优化过程,最后通过实验仿真分析了影响认知用户信道有效容量的因素.结果表明,该算法能够根据业务时延约束条件和信道衰落特性变化动态调整认知用户的最佳发送功率,与等功率分配算法相比认知用户的信道有效容量得到了明显提高.
Aiming at the problem of low utilization of spectrum resource in satellite communication network, aiming at the maximization of channel effective capacity, a power control and optimization algorithm of satellite Underlay cognitive wireless network supporting delay constraint is proposed.Firstly, according to the network topology, By introducing the correlation coefficient of time-domain channel, the objective function of cognitive user’s capacity optimization based on time-delay constraint in complete and non-complete channels is deduced. The Lagrange method is used to solve the optimal cognitive performance of cognitive users under different scenarios Power adjustment strategy to simplify the process of power control optimization.At last, the factors that affect the effective capacity of cognitive user channel are analyzed by experimental simulation.The results show that the proposed algorithm can dynamically adjust the cognitive user’s capacity according to the service delay constraints and channel fading characteristics The best transmit power, compared with the equal power allocation algorithm, the cognitive user’s channel effective capacity has been significantly improved.