2021/01/09 by Andreas Toftegaard Kristensen, Kristensen, Andreas Toftegaard, Alexios Balatsoukas‐Stimming +3
Engineering · #FOS: Electrical engineering #Full-Duplex Wireless Communications #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2101.03380
openalex publication_date 2021/01/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In-band full-duplex systems promise to further increase the throughput of\nwireless systems, by simultaneously transmitting and receiving on the same\nfrequency band. However, concurrent transmission generates a strong\nself-interference signal at the receiver, which requires the use of\ncancellation techniques. A wide range of techniques for analog and digital\nself-interference cancellation have already been presented in the literature.\nHowever, their evaluation focuses on cases where the underlying physical\nparameters of the full-duplex system do not vary significantly. In this paper,\nwe focus on adaptive digital cancellation, motivated by the fact that physical\nsystems change over time. We examine some of the different cancellation methods\nin terms of their performance and implementation complexity, considering the\ncost of both cancellation and training. We then present a comparative analysis\nof all these methods to determine which perform better under different system\nperformance requirements. We demonstrate that with a neural network approach,\nthe reduction in arithmetic complexity for the same cancellation performance\nrelative to a state-of-the-art polynomial model is several orders of magnitude.\n