This study considers the Gaussian cognitive interference channel (IC), in which one of the two users operates in cognitive mode. In addition, to transmit its signal, the cognitive sender can cooperatively forward the primary signal to its destination, the primary receiver. Moreover, the transmission over this IC also experiences interference from a third source, which is commonly known as the common interferer source. To reduce the effect of both the primary signal and the common interference signal at the secondary destination, both the cognitive transmitter and its destination may have noisy complete (non-causal) or partial (causal) knowledge of these signals. For this channel model, the achievable rate region is computed in which the availability of both the primary signal and the common interference signal at the cognitive transmitter and its destination can be (i) noisy non-causal and (ii) causally estimated. The authors numerical results confirm that knowing both the primary signal and the common interference signal can significantly increase the achievable rate region. Indeed, the obtained achievable rate region is larger than the available bounds in the literature. Furthermore, representative numerical examples are also shown to demonstrate the value of the power allocation at the cognitive source.

中文翻译：

---

普通干扰下高斯认知干扰信道的可达到率

这项研究考虑了高斯认知干扰通道（IC），其中两个用户之一以认知模式运行。另外，为了发送其信号，认知发送器可以协作地将主信号转发到其目的地即主接收器。此外，通过该IC进行的传输还受到来自第三种来源的干扰，这通常被称为常见干扰源。为了减少主要信号和公共干扰信号在次要目的地的影响，认知发射机及其目的地都可能对这些信号有噪声的完全（非因果）或部分（因果）知识。对于此渠道模型，计算可达到的速率区域，在该区域中，可以（i）有噪声的非因果关系和（ii）因果关系来估计认知发射机及其目的地的主要信号和公共干扰信号的可用性。作者的数值结果证实，同时知道原始信号和公共干扰信号可以显着增加可达到的速率区域。实际上，所获得的可达到的速率区域大于文献中的可用范围。此外，还显示了具有代表性的数值示例，以说明认知来源的功率分配值。作者的数值结果证实，同时知道原始信号和公共干扰信号可以显着增加可达到的速率区域。实际上，所获得的可达到的速率区域大于文献中的可用范围。此外，还显示了具有代表性的数值示例，以说明认知来源的功率分配值。作者的数值结果证实，同时知道原始信号和公共干扰信号可以显着增加可达到的速率区域。实际上，所获得的可达到的速率区域大于文献中的可用范围。此外，还显示了具有代表性的数值示例，以说明认知来源的功率分配值。