基于可信度的认知无线电协同频谱检测

Cooperative spectrum sensing based on reputation in cognitive radio network

认知无线电中随着参与协同检测的认知用户数目的增大,频谱检测性能逐渐增强。但是过多的认知用户参与协同检测,会使整个认知无线电网络的灵敏度降低,同时也会造成巨大的系统开销。针对上述问题,提出了一种新的基于可信度的协同频谱检测方法。在满足目标错误概率的条件下,该算法只选择可信度较高的一些认知用户参与协同频谱检测。仿真结果表明当认知用户中存在恶意节点或者故障节点时,该算法同传统算法相比较,频谱检测性能更好,具有更强的健壮性。

The sensing performance improves as the number of secondary users for cooperative sensing increases in cognitive radios. However, too many cooperative users will make the whole sensing time unbearably long and consume huge system resource. To solve this problem, a new cooperative spectrum sensing method based on reputation was proposed. Only a few cognitive users with the highest reputation were selected to cooperate while guaranteeing a target error bound. The numerical and simulation results show that the proposed algorithm has higher robustness and it achieves better sensing performance when there exist attackers or malfunctioning cognitive users, compared with the conventional method.