基于GA的认知物联网功率自适应PIS算法

GA-Based Power Adaptive PIS Algorithm for Cognitive Internet of Things

针对并发频谱接入模型下的认知物联网(C-IoT:Cognitive Internet of Things)系统中的干扰管理问题,提出一种基于遗传算法(GA:Genetic Algorithm)的C-IoT功率自适应部分干扰转向(PIS:Partial Interference Steering)算法。该算法能在同时保证主用户(PU:Primary User)和认知用户(CU:Cognitive User)服务质量的前提下提高系统的频谱效率。仿真结果表明,该算法能在寻求系统最优频谱效率时快速收敛,求出此时PU和CU期望信号的最佳发射功率。在主发射机、PU和CU相对位置确定的场景下,根据用户的平均违反约束程度D(cvave),能求解出可接入授权频谱认知发射机的最佳空间分布区域。

A GA(Genetic Algorithm)based C-IoT(Cognitive Internet of Things)power adaptive PIS(Partial Interference Steering)algorithm is proposed for the interference management problem in C-IoT(Cognitive Internet of Things)systems under the concurrent spectrum access model.The algorithm can improve the spectrum efficiency of the system while ensuring the quality of service for both the PU(Primary User)and the CU(Cognitive User).The simulation results show that the algorithm can converge quickly in seeking the optimal spectral efficiency of the system and calculate the optimal transmitting power of the PU and CU desired signals.In the scenario where the relative positions of the primary transmitter,PU and CU are determined,the optimal spatial distribution of the cognitive transmitters with access to the authorized spectrum can be solved based on the average degree of constraint violationDcvaveby the users.