论文标题
通过张量完成取消非线性自我干扰
Non-Linear Self-Interference Cancellation via Tensor Completion
论文作者
论文摘要
非线性自我干扰（SI）取消是全双工通信中的一个基本问题，通常使用多项式模型或神经网络来解决。在这项工作中，我们探讨了一种基于低级张量完成（称为规范系统识别（CSID））的最近提出的方法的适用性，以非线性SI取消。我们的结果表明，CSID在建模和取消非线性SI信号方面非常有效，并且计算复杂性比现有方法的计算复杂性较低，尽管以增加内存需求为代价。
Non-linear self-interference (SI) cancellation constitutes a fundamental problem in full-duplex communications, which is typically tackled using either polynomial models or neural networks. In this work, we explore the applicability of a recently proposed method based on low-rank tensor completion, called canonical system identification (CSID), to non-linear SI cancellation. Our results show that CSID is very effective in modeling and cancelling the non-linear SI signal and can have lower computational complexity than existing methods, albeit at the cost of increased memory requirements.
