多任务群智频谱感知算法

频谱感知是认知无线电系统中的关键技术。本文将群智感知的激励机制与协作频谱感知有效结合，提出了一种基于多任务群智感知的协作频谱感知算法。该算法考虑检测概率和感知时间建立了参与感知的次用户效用函数，次用户通过优化感知时间得出次用户的最优效用并确定感知的信道，通过贪婪算法在有限预算限制下来选取参与感知的次用户，在次用户感知完成后发放一定的报酬，以激励次用户参与频谱感知的积极性。仿真结果表明，该算法可以同时感知多个信道,通过激励提高了次用户的参与度，使得协作频谱检测概率得到有效的提升。 

A Multi-Task Crowd Cooperative Spectrum Sensing Algorithm

A core technology of cognitive radio is spectrum sensing. In this paper, we combine the incentive mechanism of crowd-sensing with cooperative spectrum sensing effectively, and put forward an cooperative spectrum sensing algorithm based on multi-task incentive mechanism. This algorithm considers about the detection probability and recognition time, and establishes utility functions of secondary users (SUs) who participate in the sensing. SUs get the optimal utilities by optimizing the recognition time, and determine which channel to sense. Under the budget constraint, the base station chooses the SUs to take part in the sensing with greedy algorithm. SUs will get some reward after they finish the sensing. The simulation results show that this algorithm can get multiple channels sensed, and promotes the cooperative detection probability effectively by stimulating the involvement of SUs.