collaborators

7 papers

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…

cs.NI2025

Betweenness Centrality Based Dynamic Source Routing for Flying Ad Hoc Networks in Marching Formation

Shaoshi Yang, Wei Zhao, Chu-Meng Wang +2

Designing high-performance routing protocols for flying ad hoc networks (FANETs) is challenging due to the diversity of applications and the dynamics of network topology. The exist…

cs.NI2024

Outage Probability Analysis of Uplink Heterogeneous Non-terrestrial Networks: A Novel Stochastic Geometry Model

Wen-Yu Dong, Shaoshi Yang, Wei Lin +3

In harsh environments such as mountainous terrain, dense vegetation areas, or urban landscapes, a single type of unmanned aerial vehicles (UAVs) may encounter challenges like fligh…

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…