关键词: Agent, 信噪比, 协作频谱感知, 多门限, 认知无线电

Abstract: To improve the spectrum sensing performance of cognitive radio technology, in this paper, a new Agent-based cooperative spectrum sensing algorithm was proposed. This algorithm used multiple local energy detection threshold in the local detection, while the Signal-to-Noise Ratio (SNR) estimated by the cognitive user was sent to the main control center of Agent, then the control center based on SNR and the distance between the transmitter and cognitive nodes to balance, to select the cognitive nodes with high reliability and validity of to decision fusion. The simulation results show that the algorithm can improve the cooperative spectrum sensing capabilities of cognitive radio networks, and at the same time reduce the number of nodes involved in the original perception of cooperative sensing algorithm to some extent.

Key words: Agent, Signal-to-Noise Ratio (SNR), cooperative spectrum sensing, multi-threshold, Cognitive Radio (CR)