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eess.SP2025

High-Speed Ultra-Energy-Efficient Memristor-Based Massive MIMO SIC Detector Circuit with Hybrid Analog-Digital Computing Architecture

Jia-Hui Bi, Shaoshi Yang, Sheng Chen +1

The emerging memristor crossbar array based computing circuits exhibit computing speeds and energy efficiency far surpassing those of traditional digital processors. This type of c…

eess.SP2024

In-Memory Massive MIMO Linear Detector Circuit with Extremely High Energy Efficiency and Strong Memristive Conductance Deviation Robustness

Jia-Hui Bi, Shaoshi Yang, Ping Zhang +1

The memristive crossbar array (MCA) has been successfully applied to accelerate matrix computations of signal detection in massive multiple-input multiple-output (MIMO) systems. Ho…

eess.SP2024

Amplifier-Enhanced Memristive Massive MIMO Linear Detector Circuit: An Ultra-Energy-Efficient and Robust-to-Conductance-Error Design

Jia-Hui Bi, Shaoshi Yang, Ping Zhang +1

The emerging analog matrix computing technology based on memristive crossbar array (MCA) constitutes a revolutionary new computational paradigm applicable to a wide range of domain…

eess.SP2024

Distributed Cooperative Positioning in Dense Wireless Networks: A Neural Network Enhanced Fast Convergent Parametric Message Passing Method

Yue Cao, Shaoshi Yang, Zhiyong Feng

Parametric message passing (MP) is a promising technique that provides reliable marginal probability distributions for distributed cooperative positioning (DCP) based on factor gra…

eess.SP2024

Optimizing Fingerprint-Spectrum-Based Synchronization in Integrated Sensing and Communications

Xiao-Yang Wang, Shaoshi Yang, Hou-Yu Zhai +2

Asynchronous radio transceivers often lead to significant range and velocity ambiguity, posing challenges for precise positioning and velocity estimation in passive-sensing percept…

eess.SP2024

Clutter Suppression, Time-Frequency Synchronization, and Sensing Parameter Association in Asynchronous Perceptive Vehicular Networks

Xiao-Yang Wang, Shaoshi Yang, Jianhua Zhang +2

Significant challenges remain for realizing precise positioning and velocity estimation in perceptive vehicular networks (PVN) enabled by the emerging integrated sensing and commun…