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Capacity Limits and Performance Analysis of Cognitive Radio With Imperfect Channel Knowledge

机译:具有不完善信道知识的认知无线电的容量极限和性能分析

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摘要

Cognitive radio (CR) design aims to increase spectrumutilization by allowing the secondary users (SUs) to coexistwith the primary users (PUs), as long as the interference caused bythe SUs to each PU is properly regulated. At the SU, channel-stateinformation (CSI) between its transmitter and the PU receiveris used to calculate the maximum allowable SU transmit powerto limit the interference. We assume that this CSI is imperfect,which is an important scenario for CR systems. In addition toa peak received interference power constraint, an upper limit tothe SU transmit power constraint is also considered. We derivea closed-form expression for the mean SU capacity under thisscenario. Due to imperfect CSI, the SU cannot always satisfy thepeak received interference power constraint at the PU and hasto back off its transmit power. The resulting capacity loss forthe SU is quantified using the cumulative-distribution functionof the interference at the PU. Additionally, we investigate theimpact of CSI quantization. To investigate the SU error performance,a closed-form average bit-error-rate (BER) expression wasalso derived. Our results are confirmed through comparison withsimulations.
机译:认知无线电(CR)设计旨在通过允许次要用户(SU)与主要用户(PU)共存来提高频谱利用率,只要适当地调节SU对每个PU造成的干扰即可。在SU处,其发射机和PU接收机之间的信道状态信息(CSI)用于计算最大允许SU发射功率以限制干扰。我们假设此CSI不完善,这对于CR系统是重要的情况。除了峰值接收干扰功率约束之外,还考虑了SU发射功率约束的上限。我们推导了这种情况下平均SU容量的闭式表达式。由于不完美的CSI,SU不能总是满足PU处的峰值接收干扰功率约束,而不得不退回其发射功率。使用PU处干扰的累积分布函数来量化SU所导致的容量损失。此外,我们研究了CSI量化的影响。为了研究SU的错误性能,还导出了闭式平均误码率(BER)表达式。通过与仿真比较,我们的结果得到了证实。

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