论文标题
计算认知无线网络（CRN）中双能检测技术的最佳阈值
Calculate the Optimum Threshold for Double Energy Detection Technique in Cognitive Radio Networks (CRNs)
论文作者
论文摘要
设计认知无线电网络（CRN）时最重要的技术挑战之一是频谱感知，它有责任认识到频带中主要用户的存在或不存在。用于频谱传感的一种常见技术是双能检测，因为它可以在没有有关主要用户信号特征的任何先前信息的情况下运行。双阈值能量检测算法基于使用两个阈值，以检查接收信号的能量并决定是否占用频谱。此外，通过考虑该模型中噪声的随机特征，阈值在能量检测算法中起关键作用，因此计算最佳阈值是至关重要的任务。在本文中，使用双方算法来检测模糊区域的最佳能级，这是低能和高能阈值之间的区域。为此，决策阈值是通过使用对认知用户的分分函数来确定的。数值模拟表明，所提出的方法比常规的双阈值能量感应方案获得了更好的检测性能。此外，提出的技术具有增加主要用户检测的可能性，并降低了主要用户和二级用户之间冲的可能性。
One of the most important technical challenges when designing a Cognitive Radio Networks (CRNs) is spectrum sensing, which has the responsibility of recognizing the presence or absence of the primary users in the frequency bands. A common technique used for spectrum sensing is double energy detection since it can operate without any prior information regarding the characteristics of the primary user signals. A double threshold energy detection algorithm is based on the use of two thresholds, to check the energy of the received signals and decided whether the spectrum is occupied or not. Furthermore, thresholds play a key role in the energy detection algorithm, by considering the stochastic features of noise in this model, as a result calculating the optimal threshold is a crucial task. In this paper, the Bi-Section algorithm was used to detect the optimum energy level in the fuzzy region which is an area between the low and high energy threshold. For this purpose, the decision threshold was determined by the use of the Bisection function for cognitive users. Numerical simulations show that the proposed method achieves better detection performance than the conventional double-threshold energy-sensing schemes. Moreover, the presented technique has advantages such as increasing the probability of detection of primary users and decreasing the probability of Collison between primary and secondary users.
