摘要： 认知无线电网络中存在阴影和多径衰落效应等问题，从而导致单认知用户感知结果不准确。为此，提出一种基于二重双向信誉度的合作频谱感知算法。每个次用户有自己的自私信誉度，用于判定次用户是否为恶意用户。不同地区的次用户又有不同的位置信誉度，可反映出该地域是否受阴影和多径衰落的影响。基于用户之间的互动反馈，实时更新2种信誉度，并根据不同的信誉度给出不同的权重以用于合作式频谱感知。仿真结果表明，该算法在恶意用户存在的情况下仍能取得较高检测率。

关键词: 认知无线电, 频谱感知, 合作, 自私信誉度, 位置信誉度, 数据融合

Abstract: In cognitive radio networks, because of the shadow effect and multi-path fading environment factors, the spectrum sensing performance of single cognitive user is reliable. A double bidirectional reputation based cooperation spectrum sensing framework is proposed. Each second user has their own selfish reputation, which is used to determine whether the user is a malicious user or not, the second user in different regions has different regional reputations, which reflects how the region is affected by shadow effect and multi-path fading effects. The selfish reputations and regional reputations are updated in real time based on the interaction among the users. And according to the different reputation, different weights for cooperative spectrum sensing are given. Simulation result shows that the proposed method can achieve well detection rate in malicious users.

Key words: cognitive radio, spectrum sensing, cooperation, selfish reputation, position reputation, data fusion

中图分类号: 

• TP393