关键词: 频谱感知, 车载网络, 认知无线电, 模型预测控制, 次级用户

Abstract: To solve the vehicle network spectrum sensing and the problem of dynamic spectrum management, and improve vehicle network radio channel effective communication and data transmission performance, a predictive control of Cognitive Radio（CR） vehicle network is proposed. Firstly, it sets point calculations of constraint variables or target value expectations for predictive variables. Then, according to the expectation, in the framework of  Model Predictive Control（MPC）, the probability of predictive variables is calculated in the control system, and calculation and prediction of variable probability in real systems are adopted in the mathematical model. Finally, the prediction decision is based on practical operation in real system, and the operation results are feedback to improve the quality of forecast. The simulation results show that, compared with method of preemptive MAC and method of reactive channel allocation, control message power consumption of the proposed method is lower, the number of sensing channels for secondary user nodes is fewer, and the channel utilization is enhanced. Therefore, it can realize an efficient CR vehicle network.

Key words: spectrum sensing, vehicle network, cognitive radio, model predictive control, secondary users