能量采集认知无线电系统中的最优频谱感知(英文)

In this paper,we consider a cognitive radio system with energy harvesting,in which the secondary user operates in a saving-sensing-transmitting(SST) fashion.We investigate the tradeoff between energy harvesting,channel sensing and data transmission and focus on the optimal SST structure to maximize the SU's expected achievable throughput.We consider imperfect knowledge of energy harvesting rate,which cannot be exactly known and only its statistical information is available.By formulating the problem of expected achievable throughput optimization as a mixed-integer non-linear programming one,we derive the optimal saveratio and number of sensed channels with indepth analysis.Simulation results show that the optimal SST structure outperforms random one and performance gain can be enhanced by increasing the SU's energy harvesting rate.     

认知无线电中预测性频谱探测时间的优化

在具有时隙模式信道的认知无线电（CR）网络中,为使认知用户尽快找到可用信道,基于频率维相关性的预测,提出了一种表征1组信道可用性信息的全新概念,即信道可用性矢量(CAV) ;并将如何使认知用户在最短时间内找到可用信道的问题规划成马尔可夫决策过程(MDP),从而找到根据当前信道可用性矢量的最佳频谱探测策略. 通过在广东省实际测量得到的频谱占用性数据,验证了该方法相比简单的随机频谱探测及顺序频谱探测能使认知用户更快地找到可用信道,不失为低速率业务应用在高占用度频谱中的一种较好解决方案.