论文部分内容阅读
分析了认知无线网络中单AF中继通信系统的中断性能,所分析的认知中继通信系统具有如下特点:多主节点并存、不等网络参数(如各信道具有不同的瑞利衰落参数、各主节点具有不同的干扰功率阈值、各接收信号具有不同的噪声功率)等.本文得出了该认知中继通信系统的端到端接收信噪比的概率分布的精确闭合表达式,以及当信噪比趋于无穷大时的端到端信噪比的渐近极限表达式.并针对各主节点的干扰功率阈值及各接收信号包含的噪声功率不相同的这类不等参数网络模型,提出模型转化算法以把不等参数网络模型转换为等效的等参数网络模型,从而可以用所得理论结果进行分析.仿真结果验证了理论分析结果的正确性,同时表明考虑多个主节点以及主要网络参数的差异程度对中断性能的影响是非常必要的.
The performance of single AF relay communication system in cognitive wireless network is analyzed. The cognitive relay communication system analyzed has the following characteristics: multi-master nodes coexist and unequal network parameters (for example, each channel has different Rayleigh fading parameters , Each master node has different interference power threshold and each received signal has different noise power), etc. The exact closed expression of probability distribution of end-to-end received signal-to-noise ratio of the cognitive relay communication system is obtained, And the asymptotic limit expression of end-to-end signal-to-noise ratio (SNR) when signal-noise ratio tends to infinity.According to the interference power threshold of each master node and the network model of unequal parameters such as noise power contained in each received signal , A model transformation algorithm is proposed to convert the inequality network model into an equivalent isoparametric network model so that it can be analyzed by the theoretical results obtained.The simulation results verify the correctness of the theoretical analysis results and show that considering the multiple primary nodes and The degree of the difference of the main network parameters on the interrupt performance is very necessary.