Adaptive cooperative sensing with low overhead for cognitive radio networks
Adaptive cooperative sensing with low overhead for cognitive radio networks
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DOI：
10.1109/glocom.2013.6831233
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发表时间：
2013-12
期刊：
影响因子：
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通讯作者：
Zeyang Dai;Jian Liu;Chonggang Wang;Keping Long
中科院分区：
文献类型：
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作者：
Zeyang Dai;Jian Liu;Chonggang Wang;Keping Long
尽管用户合作提高了感知精度，但大量的二级用户（SU）报告决策可能会导致显着的开销。在本文中，我们提出了一种称为自适应协作感知（ACS）的分布式方案，以在满足感知精度要求的同时减少感知开销。在ACS中，锚SU仅当其自身没有检测到主用户(PU)的存在时才需要协作感知。当执行协作感测时，同时采用选择性报告和顺序检测。考虑到 ACS 的报告错误，我们推导了瑞利衰落信道上的误报和检测概率的广义形式表达式。还分析了传感开销。然后，我们研究了开销最小化问题，并表明可以优化传感时间分配，以分别最小化漏检概率和传感开销。通过仿真验证了ACS的有效性和效率。
Although user cooperation improves sensing accuracy, a large number of secondary users (SUs) reporting decisions may cause significant overhead. In this paper, we propose a distributed scheme, called adaptive cooperative sensing (ACS), to reduce the sensing overhead while satisfying sensing accuracy requirements. In ACS, an anchor SU requires cooperative sensing only when it does not detect the presence of primary user (PU) by itself. When performing cooperative sensing, both selective reporting and sequential detection are employed. We derive the generalized-form expressions of false alarm and detection probabilities over Rayleigh fading channels with considering reporting errors for ACS. The sensing overheads are also analyzed. Then, we study overhead minimization problems and show that the sensing time allocation can be optimized to minimize the miss detection probability and sensing overhead, respectively. By simulations, the effectiveness and efficiency of ACS are validated.