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A generalized order user selection scheme for cognitive networks with imperfect channel estimation and multiple primary users

机译:具有不完善信道估计和多个主要用户的认知网络的广义订单用户选择方案

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In this paper, we study the performance of multiuser cognitive networks with multiple primary users and imperfect channel estimation. Two scenarios are considered: primary users with the same spectrum band and primary users with orthogonal spectrum bands. The utilized generalized order user selection scheme is efficient in situations where a user other than the best user (user of best channel) is erroneously selected by the scheduling unit for conducting its communication as an imperfect channel estimation or an outdated channel information condition. In this scheme, the secondary user with the second or even the Nth best signal-to-noise ratio (SNR) is assigned the system resources by a scheduler. In our paper, closed-form expressions are derived for the outage probability, average symbol error probability (ASEP), and ergodic channel capacity of the secondary system assuming imperfectly estimated Rayleigh fading channels. Furthermore, closed-form expressions are derived for the outage probability, considering the interference from a primary transmitter. Also, to get more insights about the system performance, the system is studied at the high SNR regime where the diversity order and coding gain are derived and analyzed. The achieved analytical and asymptotic results are verified by Monte-Carlo simulations. The main results illustrate that the number of primary users affects the performance of the secondary system through affecting only the coding gain and not the diversity order. Results show that in the case where the primary users use the same spectrum band, the system performance enhances as the number of primary users decreases and degrades as the number of primary users increases. In contrast, when the primary users use orthogonal spectrum bands, findings illustrate that the system performance degrades as the number of primary users decreases and enhances as the number of primary users increases. Also, results show that a zero diversity gain is achieved by the system and a noise floor appears in the results when the secondary users channels are imperfectly estimated. (C) 2016 Elsevier GmbH. All rights reserved.
机译:在本文中,我们研究了具有多个主要用户的多用户认知网络的性能以及不完善的信道估计。考虑了两种情况:具有相同频谱带的主要用户和具有正交频谱带的主要用户。在调度单元错误地选择除了最佳用户以外的用户(最佳信道的用户)以进行不完善的信道估计或过时的信道信息条件进行通信时,所利用的广义命令用户选择方案是有效的。在此方案中,通过调度程序为具有第二或第N个最佳信噪比(SNR)的辅助用户分配系统资源。在我们的论文中,假设不完善的瑞利衰落信道估计,得出了二次系统的中断概率,平均符号错误概率(ASEP)和遍历信道容量的闭式表达式。此外,考虑到来自主发射机的干扰,得出了断电概率的闭式表达式。另外,为了获得有关系统性能的更多见解,在高SNR体制下对系统进行了研究,在该体制下得出并分析了分集阶数和编码增益。蒙特卡洛模拟验证了所获得的分析和渐近结果。主要结果表明,主要用户数量通过仅影响编码增益而不影响分集顺序来影响辅助系统的性能。结果表明,在主要用户使用相同的频段的情况下,系统性能随着主要用户数量的减少而增强,而随着主要用户数量的增加而降低。相反,当主要用户使用正交频谱带时,发现表明,系统性能随着主要用户数量的减少而降低,而随着主要用户数量的增加而增强。而且,结果表明,通过系统实现零分集增益,并且当次用户信道估计不完善时,本底噪声会出现。 (C)2016 Elsevier GmbH。版权所有。

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