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Benefits of Improper Gaussian Signaling in Interweave Cognitive Radio With Full and Partial CSI

机译:具有完整和部分CSI的交织对认知无线电的不正确的高斯信令的优势

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In this paper, we investigate the impact of using improper Gaussian signaling (IGS) scheme on the interweave cognitive radio (CR) paradigm when the cognitive user has access to full or partial channel-state-information (CSI). Throughout this work, we analyze the performance of both the primary user (PU) and secondary user (SU) in terms of instantaneous achievable rate and outage probability, for given sensing and detection capabilities. Then, we optimize the IGS scheme for full and partial CSI scenarios to maximize the achievable rate of the SU while maintaining a minimum quality-of-service (QoS) requirement for the PU. Meanwhile, we derive the corresponding feasibility conditions for the interweave cognitive radio system operation. IGS based systems are proven to provide notable gain over the conventional proper Gaussian signaling, which is considered our benchmark scheme. The IGS scheme is observed to be further beneficial at low SU detection capabilities, strong interference from the cognitive user to the licensed user, and low gain of the PU direct link.
机译:在本文中,当认知用户可以访问完整或部分信道状态信息(CSI)时,我们研究使用不正确的高斯信令(IGS)方案对交织对认知无线电(CR)范式的影响。在整个工作中,我们在瞬时可实现的速率和中断概率方面分析了主要用户(PU)和辅助用户(SU)的性能,以便给定感测和检测能力。然后,我们优化用于全部和部分CSI场景的IGS方案,以最大限度地提高SU的可实现速率,同时保持PU的最低服务质量(QoS)要求。同时,我们推导了相应的可行性条件,用于交织的认知无线电系统操作。基于IGS的系统被证明是在传统的适当高斯信令上提供显着的增益,这被认为是我们的基准方案。观察到IGS方案在低苏检测能力下进一步有益,从认知用户到许可用户的强烈干扰,以及PU直接链路的低增益。

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