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主要研究了认知无线电中多信道连续感知结构下,多个感知时隙和单个传输时隙的感知时间优化问题。首先在信道的空闲概率已知的条件下,当信道的信噪比保持不变时,经证明最佳感知时间是存在的;其次在信道的空闲概率未知的条件下,提出了一种单时隙感知时间的次优方法,逐步的计算出来各个时隙中下一个时隙的最优化感知时间。仿真实验证明,提出的方法优于固定感知时间的感知方法,同时降低了算法的复杂度,且在不同的条件下,此方法吞吐量性能接近于理论上的最佳感知时间吞吐量性能,并优于固定感知时间方法的吞吐量。
This paper mainly studies the perceptual time optimization problem of multiple perceptual time slots and single transmission time slot under multi-channel continuous sensing structure in cognitive radio. Firstly, when the signal to noise ratio of the channel remains unchanged, the best perceptual time is proved under the condition that the channel idle probability is known. Secondly, under the condition of unknown channel idle probability, a single-time The suboptimal method of perceiving time is to calculate the optimal sensing time of the next time slot in each time slot step by step. Simulation results show that the proposed method is superior to the fixed sensing time perception method and reduces the complexity of the algorithm. Under different conditions, the throughput performance of this method is close to the theoretical best-sense throughput performance Better throughput than the fixed-sense time method.