48 citations · 83 across the 12 of their papers we have counts for
13 papers
TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation
Wen Yang Tan, Jiawei Li, Fang Liu +4
Battery health estimation is fundamental for battery management in battery-powered systems, where inaccurate health states may affect control, maintenance, and service life. It bec…
Symbol Detection in Ambient Backscatter Communications Under Residual Time Synchronization Errors
Yinghui Ye, Ying Li, Xiaoli Chu +2
Ambient backscatter communications (AmBC), where a backscatter transmitter (BT) modulates and reflects ambient signals to a backscatter receiver (BR), have been deemed a low-power…
Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
Vijay Babu Pamshetti, Wei Zhang, Sumei Sun +3
Battery health prognostics are critical for ensuring safety, efficiency, and sustainability in modern energy systems. However, it has been challenging to achieve accurate and robus…
Symbiotic Backscatter Communication: A Design Perspective on the Modulation Scheme of Backscatter Devices
Yinghui Ye, Shuang Lu, Liqin Shi +2
Symbiotic Backscatter Communication (SBC) has emerged as a spectrum-efficient and low-power communication technology, where backscatter devices (BDs) modulate and reflect incident…
EdgePrompt: A Distributed Key-Value Inference Framework for LLMs in 6G Networks
Jiahong Ning, Pengyan Zhu, Ce Zheng +3
As sixth-generation (6G) networks advance, large language models (LLMs) are increasingly integrated into 6G infrastructure to enhance network management and intelligence. However,…
Uniform Planar Array Based Weighted Cooperative Spectrum Sensing for Cognitive Radio Networks
Charith Dissanayake, Saman Atapattu, Prathapasinghe Dharmawansa +3
Cooperative spectrum sensing (CSS) is essential for improving the spectrum efficiency and reliability of cognitive radio applications. Next-generation wireless communication networ…
Error Floor of ML-Decoded Spinal Codes in the Finite Blocklength Regime
Aimin Li, Shaohua Wu, Xiaomeng Chen +1
Spinal codes is a new family of capacity-achieving rateless codes that has been shown to achieve better rate performance compared to Raptor codes, Strider codes, and rateless Low-D…
Online Optimization for Learning to Communicate over Time-Correlated Channels
Zheshun Wu, Junfan Li, Zenglin Xu +2
Machine learning techniques have garnered great interest in designing communication systems owing to their capacity in tackling with channel uncertainty. To provide theoretical gua…
Active Reconfigurable Intelligent Surface Enhanced Spectrum Sensing for Cognitive Radio Networks
Jungang Ge, Ying-Chang Liang, Sumei Sun +2
In opportunistic cognitive radio networks, when the primary signal is very weak compared to the background noise, the secondary user requires long sensing time to achieve a reliabl…
Vehicle-to-Everything Cooperative Perception for Autonomous Driving
Tao Huang, Jianan Liu, Xi Zhou +5
Achieving fully autonomous driving with enhanced safety and efficiency relies on vehicle-to-everything cooperative perception, which enables vehicles to share perception data, ther…
Space-Time Shift Keying Aided OTFS Modulation for Orthogonal Multiple Access
Zeping Sui, Hongming Zhang, Sumei Sun +2
Space-time shift keying-aided orthogonal time frequency space modulation-based multiple access (STSK-OTFS-MA) is proposed for reliable uplink transmission in high-Doppler scenarios…
On the Capacity Region of Reconfigurable Intelligent Surface Assisted Symbiotic Radios
Qianqian Zhang, Hu Zhou, Ying-Chang Liang +3
In this paper, we are interested in a reconfigurable intelligent surface (RIS)-assisted symbiotic radio (SR) system, where an RIS assists a primary transmission by passive beamform…
Many a little Makes a Mickle: Probing Backscattering Energy Recycling for Backscatter Communications
Gu Bowen, Li Dong, Xu Yongjun +2
In this paper, we investigate and analyze full-duplex-based backscatter communications with multiple backscatter devices (BDs). Different from previous works where only the energy…