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A Tunable RF Self-Interference Canceller With Highly Accelerated, Machine-Learning-Based Adaptation for Full-Duplex Radio Applications

A Tunable RF Self-Interference Canceller With Highly Accelerated, Machine-Learning-Based Adaptation for Full-Duplex Radio Applications 150 150
Author(s): Xichen Li, Ahmed Refaat Aboulsaad, Elpida Karapepera, Yi-Hsiang Huang, Po-Hao Cheng, Charles Chien, Jacques Christophe Rudell

Abstract:

Future full-duplex (FD) radio systems require highly tunable self-interference (SI) cancellers with rapid adaptation to mitigate dynamic SI profiles in wireless environments. This article presents a 2.4-GHz RF SI canceller chip with extensive tuning capabilities that operates with a machine-learning (ML)-augmented adaptation loop for FD transceivers. The proposed design …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 14
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3715631
Publisher: IEEE

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P-Dits for the Frequency Assignment Problem With Transmitter Deactivation in Dense Environments

P-Dits for the Frequency Assignment Problem With Transmitter Deactivation in Dense Environments 150 150
Author(s): Christian Duffee, Jordan Athas, Igor Kadota, Randall Berry, Pedram Khalili Amiri

Abstract:

The frequency assignment problem is a nondeterministic polynomial-time hard (NP-hard) optimization problem concerning the assignment of frequency channels to wireless transmitters. Typically, the aim is to minimize interference between transmitters while maintaining a high level of service. In this work, the use of probabilistic d-dimensional bits, or p-dits, for this …

Published in: IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Page(s): 78 – 85
Year of Publication: 2026
Electronic ISSN: 2329-9231
DOI: 10.1109/JXCDC.2026.3690563
Publisher: IEEE

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