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Performance evaluation of cognitive underlay multi-hop networks with interference constraint in Rayleigh fading channels perturbed by non-Gaussian noise

机译:非高斯噪声扰动的瑞利衰落信道中具有干扰约束的认知下层多跳网络的性能评估

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摘要

In this paper, the performance of regenerative decode-and-forward (DaF) cognitive multi-hop underlay networks over independent but non-identically distributed (i.n.i.d.) Rayleigh fading channels with additive white generalized Gaussian noise (AWGGN) is analyzed. Precisely, we derive exact analytical expressions for the average bit error rate (BER) of M-ary quadrature amplitude modulation (M-QAM) and M-ary phase shift keying (M-PSK). Besides, an exact expression for the average symbol error rate (SER) of M-QAM is obtained. In addition, lower- and upper-bound expressions for the end-to-end ergodic capacity is provided. Some representative numerical examples are presented to study the impact of the noise shaping parameter and average power of the interfering and secondary links on the system performance. Our obtained analytical results are supported with Monte-Carlo simulations to validate the accuracy of the analytical derivations.
机译:在本文中,分析了在具有加性白色广义高斯噪声(AWGGN)的独立但不相同分布(i.n.d.)瑞利衰落信道上的再生解码和转发(DaF)认知多跳底层网络的性能。精确地,我们得出M元正交幅度调制(M-QAM)和M元相移键控(M-PSK)的平均误码率(BER)的精确解析表达式。此外,获得了M-QAM的平均符号错误率(SER)的精确表达式。此外,还提供了端到端遍历能力的上下限表达式。给出了一些代表性的数值示例,以研究噪声整形参数以及干扰和次级链路的平均功率对系统性能的影响。蒙特卡洛模拟支持我们获得的分析结果,以验证分析推导的准确性。

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