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Achievable Rates of Cognitive Radio Networks Using Multi-Layer Coding with Limited CSI

机译:使用受限CSI的多层编码可达到的认知无线电网络速率

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摘要

In a Cognitive Radio (CR) framework, the channel state information (CSI) feedback to the secondary transmitter (SU Tx) can be limited or unavailable. Thus, the statistical model is adopted in order to determine the system performance using the outage concept. In this paper, we adopt a new approach using multi-layer-coding (MLC) strategy, i.e., broadcast approach, to enhance spectrum sharing over fading channels. First, we consider a scenario where the secondary transmitter has no CSI of both the link between SU Tx and the primary receiver (cross-link) and its own link. We show that using MLC improves the cognitive rate compared to the rate provided by a singlelayer- coding (SLC). In addition, we observe numerically that 2-Layer coding achieves most of the gain for Rayleigh fading. Second, we analyze a scenario where SU Tx is provided by partial CSI about its link through quantized CSI. We compute its achievable rate adopting the MLC and highlight the improvement over SLC. Finally, we study the case in which the cross-link is perfect, i.e., a cooperative primary user setting, and compare the performance with the previous cases. We present asymptotic analysis at high power regime and show that the cooperation enhances considerably the cognitive rate at high values of the secondary power budget.
机译:在认知无线电(CR)框架中,反馈到辅助发射机(SU Tx)的信道状态信息(CSI)可能受到限制或不可用。因此,采用统计模型以便使用中断概念来确定系统性能。在本文中,我们采用了一种使用多层编码(MLC)策略的新方法,即广播方法,以增强衰落信道上的频谱共享。首先,我们考虑一种情况,即次要发送器既没有SU Tx与主要接收器之间的链接(交叉链接)也没有它自己的链接的CSI。我们显示,与单层编码(SLC)所提供的比率相比,使用MLC可以提高认知比率。此外,我们从数字上观察到,两层编码实现了瑞利衰落的大部分增益。其次,我们分析了一个方案,其中SU Tx由部分CSI通过量化的CSI通过其链接提供。我们通过采用MLC来计算其可达到的速率,并着重说明与SLC相比的改进。最后,我们研究了交叉链接完美的情况,即合作的主要用户设置,并将性能与以前的情况进行了比较。我们目前在高功率状态下的渐近分析,表明在高功率的次级功率预算下,这种合作大大提高了认知率。

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