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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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A 32 Gb/s 0.36 pJ/bit 3 nm Chiplet IO Using 2.5-D CoWoS Package With Real-Time and Per-Lane CDR and Bathtub Monitoring

A 32 Gb/s 0.36 pJ/bit 3 nm Chiplet IO Using 2.5-D CoWoS Package With Real-Time and Per-Lane CDR and Bathtub Monitoring 150 150
Author(s): Junhui Gu, John Ma, Azhar Ahmed Chowdhury, Jianmin Guo, Xin Zhang, Jackson Ding, Hui Wang, Ken Chang

Abstract:

This article presents a high-density, single-ended non return to zero (NRZ) chiplet I/O implemented with 3 nm CMOS technology on a 2.5-D chip-on-wafer-on-substrate (CoWoS) interposer, accommodating trace lengths up to 2 mm. The design features 216 data lanes, each operating at 32 Gb/s. For the tested 2-mm trace, the channel insertion loss …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1289 – 1298
Year of Publication: 2025
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3545483
Publisher: IEEE

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