IEEE Journal of Solid-State Circuits

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A Compact Reconfigurable Dual-Path Dual-Band LNA for 5G NR FR2 Applications

A Compact Reconfigurable Dual-Path Dual-Band LNA for 5G NR FR2 Applications 150 150
Author(s): Pei Qin, Junyu Wu, Taotao Xu, Yongchun Li, Wenjie Feng, Quan Xue, Wenquan Che

Abstract:

This article presents a reconfigurable dual-path dual-band low noise amplifier (LNA) for fifth generation (5G) millimeter-wave (mmW) communications. A novel band-switching input matching architecture based on the cross-connected transistors is proposed to achieve optimal dual-band input matching and $g_{m}$ -boosting. This architecture allows the dual-band input transistors to share …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 14
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3661593
Publisher: IEEE

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A 56-Gb/s Hybrid Silicon Photonic and 5-nm CMOS 3-D-Integrated Transceiver for Optical Compute I/O

A 56-Gb/s Hybrid Silicon Photonic and 5-nm CMOS 3-D-Integrated Transceiver for Optical Compute I/O 150 150
Author(s): Ganesh Balamurugan, Parmanand Mishra, Subal Sahni, Ankur Aggarwal, Simon Forey, Andrew Gimlett, Prateek Goyal, Han Hao, Santosh Hariwan, Masum Hossain, Sejun Jeon, Narayan Kaniyur, David Lazovsky, Wonho Lee, Bengt Littmann, Raj Nagulapalli, Kevin Park, John Rollinson, Matteo Staffaroni, Prakash Thakur, Saurabh Vats, Preet Virk, Dehua Xiao, Hemesh Yasotharan, Raman Yazdani, Waleed Younis, Shifeng Yu, Phil Winterbottom

Abstract:

This work presents a hybrid 3-D-integrated silicon photonic (SiPh) transceiver suitable for realizing chiplet-based optical I/O in future AI/ML ASIC packages. The optical transceiver die stack is composed of two ICs: a SiPh IC (PIC) with micrometer-scale, thermally robust electro-absorption modulators (EAMs), and a 5-nm CMOS electronic IC (…

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 11
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3655295
Publisher: IEEE

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A 7.5-μW 35-Keyword End-to-End Keyword Spotting System With Random Augmented On-Chip Training

A 7.5-μW 35-Keyword End-to-End Keyword Spotting System With Random Augmented On-Chip Training 150 150
Author(s): Hyuk-Jin Lee, Kyunghoon Pyo, Taekwang Jang, Mingoo Seok, SeongHwan Cho

Abstract:

Fully integrated keyword spotting (KWS) systems designed for low-power operation face two major challenges. First, increasing the number of supported keywords significantly raises system complexity and power consumption. Second, most existing systems are not personalized to individual users, as they are trained on data from native English speakers, leading to …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 10
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3660634
Publisher: IEEE

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An Optimal Modulation Bits-to-RF Digital Transmitter Using Time-Interleaved Multi-Subharmonic Switching

An Optimal Modulation Bits-to-RF Digital Transmitter Using Time-Interleaved Multi-Subharmonic Switching 150 150
Author(s): Timur Zirtiloglu, Arman Tan, Basak Ozaydin, Ken R. Duffy, Muriel Médard, Rabia Tugce Yazicigil

Abstract:

This article presents a fully integrated bits-to-RF transmitter (Tx) featuring deep power back-off (PBO) enhancements, leveraging a multi-subharmonic switching (multi-SHS) digital power amplifier (DPA) with time-interleaving and a harmonic-rejection digital-to-phase converter (DPC). This work employs a nonuniform optimal modulation (OM) constellation, where symbol probability is inversely related to its amplitude, …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3659903
Publisher: IEEE

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An Electrophysiology-Optogenetics Closed-Loop Bi-Directional Neural Interface for Sleep Regulation With 0.2-μJ/class Multiplexer-Based Neural Network

An Electrophysiology-Optogenetics Closed-Loop Bi-Directional Neural Interface for Sleep Regulation With 0.2-μJ/class Multiplexer-Based Neural Network 150 150
Author(s): Chao Zhang, Fenyan Zhang, Dawid Sheng, Zhixiong Ma, Yongxiang Guo, Chao Sun, Yuwei Zhang, Wenxin Zhao, Xing Sheng, Tongfei A. Wang, Milin Zhang

Abstract:

This work proposed a multiplexer-based neural network (MUXnet), a multiplexer-based, multiplier-free neural network (NN) structure applicable to the implementation of all inner product-based NN layers. An on-chip MUXnet-based neural signal processing unit (NSPU) was designed, achieving a state-of-the-art accuracy of 82.4% on a public human sleep staging dataset, with the lowest …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2025.3639446
Publisher: IEEE

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An Energy-Efficient and High-Accuracy Dual-ModeECG AI Processor via Deep-Fold and Zero-Free Fine-Grained Quantization

An Energy-Efficient and High-Accuracy Dual-ModeECG AI Processor via Deep-Fold and Zero-Free Fine-Grained Quantization 150 150
Author(s): Zuo Zhang, Xuecheng Yang, Shen Ye, Jiahao Wang, Yu Shi, Tianxiang Qu, Zhiliang Hong, Jiawei Xu

Abstract:

Smart wearable electrocardiography (ECG) devices require classification processors that combine high accuracy, low power dissipation, and real-time operation under stringent energy constraints. Conventional neural network approaches improve accuracy but are limited by high computational and memory costs, restricting on-chip deployment. This work presents an energy-efficient ECG AI processor enabled by …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 12
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3661990
Publisher: IEEE

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A 475-nW Area-Efficient Programmable Analog Feature Extraction Filterbank for Audio Classification

A 475-nW Area-Efficient Programmable Analog Feature Extraction Filterbank for Audio Classification 150 150
Author(s): Patrice Abbie D. Legaspi, Shubham Yadav, Mark S. Oude Alink, Bram Nauta

Abstract:

Audio classification in edge devices has many applications and can be implemented at varying levels of complexity, typically consisting of a feature extractor followed by a classifier. Such devices are often always-on, constantly listening to their surroundings, and have a small form factor; therefore, they require low-power operation and high …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3655426
Publisher: IEEE

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A 0.29 pJ/b 5.27 Tb/s/mm UCIe Advanced Package Link With 2.5-D CoWoS Interposer and a 0.52 pJ/b 0.448 Tb/s/mm UCIe Standard Package Link With Organic Substrate in 3 nm FinFET

A 0.29 pJ/b 5.27 Tb/s/mm UCIe Advanced Package Link With 2.5-D CoWoS Interposer and a 0.52 pJ/b 0.448 Tb/s/mm UCIe Standard Package Link With Organic Substrate in 3 nm FinFET 150 150
Author(s): Didem Turker Melek, James Vandersand, R. Navin Kumar, Pyare M. Sarkar, Prakash BS, Adrian Leuciuc, Kevin Geary, Shaojun Ma, Chirag M. Mehta, Basant Bothra, Shashi Jain, Pawan Sabharwal, Ranjan Vaish, Kirti Bhanushali, Yutong Ding, Craig Frost, John Annunziata, Krishanu Sadhu, Dimitris Kyritsis, Jeff Bostak, Ming Li, Steve Williams, Ken Chang

Abstract:

This work presents two die-to-die (D2D) wireline transceivers, one compliant with the UCIe advanced package (UCIe-AP) and the other with the UCIe standard package (UCIe-SP) standard, developed in 3 nm FinFET. The Universal Chiplet interconnect express (UCIe)-AP link has 64 RX and 64 TX data lanes in one PHY module and …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3651425
Publisher: IEEE

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HUTAO: A Reconfigurable Homomorphic Processing UniT With Cache-Aware Operation Scheduling

HUTAO: A Reconfigurable Homomorphic Processing UniT With Cache-Aware Operation Scheduling 150 150
Author(s): Sijia Lu, Wenping Zhu, Bohan Yang, Jiajun Yang, Tongwei Dai, Chen Chen, Xiangdong Han, Jinjiang Yang, Hanning Wang, Min Zhu, Shaojun Wei, Aoyang Zhang, Leibo Liu

Abstract:

Fully homomorphic encryption (FHE) enables privacy-preserving machine learning (PPML) at the cost of intensive computational overhead, which necessitates the use of domain-specific accelerators. To achieve comprehensive support for leveled FHE, this article presents a reconfigurable multi-scheme FHE processor that supports both client-side encryption/decryption and server-side evaluation. First, a reconfigurable …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 15
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3657525
Publisher: IEEE

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