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认知无线电网络中,受当前频谱感知和功率分配概念的束缚,次用户系统的频谱利用率和信道容量仍十分有限.分析了传统的认知无线电框架,提出了一种基于连续感知信息的普适性框架,即次用户在得到感知信息后,不再对主用户是否存在进行二元判决,而是根据连续感知信息直接进行功率分配.分别在连续功率分配和多电平功率分配的场景下进行了数学建模,分析结果表明,所提出的普适性框架给出了认知无线电系统性能的理论上限,而传统的3种认知无线电框架仅是所提出的普适性框架的特殊情况.
In the cognitive radio network, due to the restriction of current spectrum sensing and power allocation, the spectrum utilization and channel capacity of the secondary user system are still very limited.Analyzing the traditional cognitive radio framework, this paper proposes a method based on continuous perception information Adaptability framework, that is, the secondary user no longer performs binary decision on the existence of the primary user after obtaining the sensing information, but directly performs power allocation according to the continuous sensing information, respectively. In scenarios with continuous power allocation and multi-level power allocation The mathematical modeling results show that the proposed universal framework gives a theoretical upper limit on the performance of cognitive radio systems whereas the traditional three cognitive radio frameworks are only special cases of the proposed universal framework .