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首页> 外文期刊>Australian journal of electrical and electronics engineering >On end-to-end performance of variable gain AF relayed cognitive underlay networks
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On end-to-end performance of variable gain AF relayed cognitive underlay networks

机译:可变增益AF中继认知底层网络的端到端性能

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The objective of this work is to analyse the performance of an underlay cognitive radio network which incorporates a variable-gain amplify-and-forward relay to enhance its performance. The system is based on extended generalised-K fading distribution and works under the constraint of interference temperature. As a result, the secondary source and the relay transmit powers will be curbed to avoid secondary signal interfering with the primary transmission when both the networks communicate simultaneously. This is the basic principle of an underlay system where both primary and secondary networks are active at the same time. The influence of fading and shadowing on the different radio links of the system is also taken into account. The analysis begins with finding the end-to-end signal-to-noise-ratio and then derives its cumulative distribution function and moment generating functions. This is followed by the derivation of the analytic closed form expressions for the outage probability, the channel capacity and the error probability of the dual-hop AF relayed underlay cognitive radio network. Numerical plots following the mathematical analysis illustrate the effects of various parameters on the system performance under the constraints of interference temperature and the secondary transmit powers.
机译:这项工作的目的是分析底层认知无线电网络的性能,该网络结合了可变增益放大转发中继以增强其性能。该系统基于扩展的广义K衰落分布,并在干扰温度的约束下工作。结果,当两个网络同时通信时,将抑制辅助源和中继的发射功率,以避免辅助信号干扰主要传输。这是底层系统的基本原理,在该系统中主网络和辅助网络都同时处于活动状态。还考虑了衰落和阴影对系统不同无线电链路的影响。分析从找到端到端信噪比开始,然后推导其累积分布函数和矩生成函数。其次是推导双跳AF中继底层认知无线电网络的中断概率,信道容量和错误概率的解析闭合形式表达式。数学分析之后的数字图说明了在干扰温度和二次发射功率的约束下,各种参数对系统性能的影响。

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