Cooperative Spectrum Sensing Strategies for Cognitive Radio Mesh Networks
Cooperative Spectrum Sensing Strategies for Cognitive Radio Mesh Networks
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DOI：
10.1109/jstsp.2010.2060468
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发表时间：
2011-02
影响因子：
7.5
通讯作者：
Qian Chen;M. Motani;L. Wong;A. Nallanathan
中科院分区：
文献类型：
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作者：
Qian Chen;M. Motani;L. Wong;A. Nallanathan
本文研究了认知无线电（CR）网状网络的协同频谱感知问题，该网络允许辅助用户（su）共享原分配给主用户（pu）网络的频段。我们提出了两种新的协同频谱感知策略，即放大与中继（AR）和检测与中继（DR），目的是在其他符合条件的单元的帮助下提高检测性能，以便在相邻单元切换到活动状态时灵活地将信道腾出给主网络。在每个MAC帧开始的频谱感知阶段，周期性地执行AR和DR策略。基于AR和DR策略，我们推导了单中继和多中继模型的虚警概率和检测概率的封闭表达式，无论有无信道状态信息（CSI）。仿真结果表明，该策略比非合作（或非中继）频谱感知方法和现有的合作检测方法具有更好的性能。正如预期的那样，我们观察到随着符合条件的继电器SUs数量的增加，检测性能有所提高，并且对于已知csi情况比未知csi情况更好。
In this paper, we consider the cooperative spectrum sensing problem for a cognitive radio (CR) mesh network, where secondary users (SUs) are allowed to share the spectrum band which is originally allocated to a primary users' (PUs) network. We propose two new cooperative spectrum sensing strategies, called amplify-and-relay (AR) and detect-and-relay (DR), aiming at improving the detection performance with the help of other eligible SUs so as to agilely vacate the channel to the primary network when the neighboring PUs switch to active state. AR and DR strategies are periodically executed during the spectrum sensing phase which is arranged at the beginning of each MAC frame. Based on AR and DR strategies, we derive the closed-form expressions of false alarm probability and detection probability for both single-relay and multi-relay models, with or without channel state information (CSI). Simulation results show that our proposed strategies achieve better performance than a non-cooperative (or non-relay) spectrum sensing method and an existing cooperative detection method. As expected, we observe that the detection performance improves as the number of eligible relay SUs increases, and furthermore, it is better for the known-CSI case than that of the unknown-CSI case.