Convex sensing-reporting optimization for cooperative spectrum sensing
Convex sensing-reporting optimization for cooperative spectrum sensing
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DOI：
10.1109/twc.2012.030812.111408
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发表时间：
2011-09
期刊：
影响因子：
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通讯作者：
Adam Noel;R. Schober
中科院分区：
文献类型：
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作者：
Adam Noel;R. Schober
我们考虑认知无线电中具有能量检测的协作频谱感知问题。具有不相同、独立感知信道的次要用户做出1比特感知决策，并通过正交衰落信道将其决策报告给次要基站。基站通过将决策与 OR 规则相结合来充当融合中心。我们允许二级用户用感知时隙换取额外的报告时隙。我们得出相应的误报和漏检概率，它们是辅助传感器决策阈值以及感测和报告持续时间的函数。此外，我们限制了这些概率并施加了一个实用的凸区域，该区域使得凸优化能够最小化目标漏检概率的误报概率。允许次级用户用感测时隙换取额外的报告时隙被证明可以显着提高感测性能，即使在感测信道较差且次级用户数量较少的情况下也是如此。
We consider the cooperative spectrum sensing problem in cognitive radio with energy detection. Secondary users with non-identical, independent sensing channels make 1-bit sensing decisions and report their decisions to the secondary base station over orthogonal fading channels. The base station acts as a fusion center by combining the decisions with OR-rule. We allow the secondary users to trade sensing time slots for additional reporting time slots. We derive the corresponding false alarm and missed detection probabilities, which are functions of the secondary sensor decision thresholds and the durations for sensing and reporting. Furthermore, we bound these probabilities and impose a practical convex region that enables convex optimization to minimize the false alarm probability for a target missed detection probability. Allowing secondary users to trade sensing time slots for additional reporting time slots is shown to significantly improve sensing performance, even with poor sensing channels and a small number of secondary users.