认知网络中的感知矩阵设置方案及其性能分析
Sensing Matrix Setting Schemes for Cognitive Networks and Their Performance Analysis
摘要：
强大的频谱决策方案使认知无线电（CR）在专门分配给主用户的频谱资源中找到传输机会。影响认知无线电网络吞吐量的关键因素之一是各次用户使用的频谱感知序列。本文研究了通过寻找合适的感知矩阵来最大化次用户吞吐量的问题。为此，首先针对给定SM评估CR网络的平均吞吐量。然后，基于网络吞吐量的最大化的优化问题，制定，以找到最佳的SM。由于最佳解决方案是非常复杂的，以避免其主要挑战，三个新的次优解决方案，找到一个合适的SM提出了各种情况下，包括完美和非完美的传感。尽管具有较低的计算复杂性以及较低的能耗，所提出的解决方案执行相当不错的最佳解决方案（最佳SM）相比。详细讨论了所提出的SM设置方案的结构和性能，并给出了一组说明性的仿真结果来验证其效率。
英文摘要：
Powerful spectrum decision schemes enable cognitive radios (CRs) to find transmission opportunities in spectral resources allocated exclusively to the primary users. One of the key effecting factor on the CR network throughput is the spectrum sensing sequence used by each secondary user. In this paper, secondary users' throughput maximization through finding an appropriate sensing matrix (SM) is investigated. To this end, first the average throughput of the CR network is evaluated for a given SM. Then, an optimization problem based on the maximization of the network throughput is formulated in order to find the optimal SM. As the optimum solution is very complicated, to avoid its major challenges, three novel sub optimum solutions for finding an appropriate SM are proposed for various cases including perfect and non-perfect sensing. Despite of having less computational complexities as well as lower consumed energies, the proposed solutions perform quite well compared to the optimum solution (the optimum SM). The structure and performance of the proposed SM setting schemes are discussed in detail and a set of illustrative simulation results is presented to validate their efficiencies.
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