Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Imperfect Spectrum Sensing
Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Imperfect Spectrum Sensing
复制标题
DOI：
10.1109/tcomm.2020.2965944
复制
发表时间：
2020-01
影响因子：
8.3
通讯作者：
Ogeen H. Toma;M. López-Benítez;Dhaval K. Patel;K. Umebayashi
中科院分区：
文献类型：
--
作者：
Ogeen H. Toma;M. López-Benítez;Dhaval K. Patel;K. Umebayashi
主信道统计由于其在动态频谱接入（DSA）/认知无线电（CR）系统性能改进中的显着作用，最近受到越来越多的关注。这些统计数据可以根据频谱感知的结果计算出来，频谱感知是用于识别频谱中可用瞬时机会的众所周知的方法。然而，由于频谱感测在现实世界中并不完善并且感测决策中可能出现错误，因此从频谱感测计算统计信息有时可能不可靠。在此背景下，这项工作对不完美频谱感知（ISS）下的广泛主信道统计数据进行了详细分析，并找到了 ISS 下计算统计数据的一组封闭式表达式，作为原始主信道统计数据、错误概率和所采用的感知周期的函数。此外，所获得的数学表达式用于寻找并提出用于主信道统计的新颖估计器，该估计器优于文献中现有的估计器，并且即使在频谱感测错误概率较高的情况下也可以提供原始统计数据的准确估计。仿真和实验结果证实了所获得的解析表达式的正确性和所提出的估计器的准确性。
Primary channel statistics have recently gained increasing attention due to its remarkable role in the performance improvement of Dynamic Spectrum Access (DSA)/Cognitive Radio (CR) systems. These statistics can be calculated from the outcomes of spectrum sensing, which is the well-known method used to identify the available instantaneous opportunities in the spectrum. Computing statistical information from spectrum sensing, however, may sometimes be unreliable due to the fact that spectrum sensing is imperfect in the real world and errors are likely to occur in the sensing decisions. In this context, this work provides a detailed analysis of a broad range of primary channel statistics under Imperfect Spectrum Sensing (ISS) and finds a set of closed-form expressions for the calculated statistics under ISS as a function of the original primary channel statistics, probability of error, and the employed sensing period. In addition, the obtained mathematical expressions are employed to find and propose novel estimators for the primary channel statistics, which outperform the existing estimators in the literature and can provide accurate estimations of the original statistics even under high probability of error of spectrum sensing. The correctness of the obtained analytical expressions and the accuracy of the proposed estimators are corroborated with both simulation and experimental results.