认知无线电系统多接入用户信息新鲜度研究.

In order to solve the problem of limited channel resources of the Internet of Things (IoT) and improve the information timeliness of the IoT system, this paper considered a multi-access Cognitive Radio (CR) IoT system model including one Primary User (PU) and two Secondary User (SU) nodes. Under the constraint of PU working state and SU data queue stability, the paper analyzed the average Age of Information (AoI) of the First Secondary User node in the First Come First Served (FCFS), Last Come Last Served (LCLS) and the packet dropping queue, and derived the average AoI of the second SU node in the threshold strategy. Then, the paper proposed an optimization problem to minimize the average AoI of the first user and lower the average AoI of the second user below the given threshold. The constraint condition of the problem was convex, but the objective function was non-convex, so the paper introduced a suboptimal technique and obtained the optimal solution by double convex optimization algorithm. Simulation results show the performance of the proposed algorithm under different system parameters, and the algorithm performs well under the influence of different system parameters and multiple antennas. Subsequent work can consider extending CR IoT system to more than two SUs. [ABSTRACT FROM AUTHOR]