9 papers
A Quantum Optimization Framework for Data-Assimilation-Augmented Parameter Estimation
Muhammad Jalil Ahmad, Mohammadhossein Mohammadisiahroudi, Animikh Biswas +1
Parameter estimation is a fundamental challenge in the calibration of ordinary differential equation (ODE) models, where repeated numerical integration can lead to high computation…
Energy-Efficient Federated Edge Learning For Small-Scale Datasets in Large IoT Networks
Haihui Xie, Wenkun Wen, Shuwu Chen +2
Large-scale Internet of Things (IoT) networks enable intelligent services such as smart cities and autonomous driving, but often face resource constraints. Collecting heterogeneous…
Air-to-Ground Communications for Internet of Things: UAV-based Coverage Hole Detection and Recovery
Xiao Fan, Wenkun Wen, Peiran Wu +2
Uncrewed aerial vehicles (UAVs) play a pivotal role in ensuring seamless connectivity for Internet of Things (IoT) devices, particularly in scenarios where conventional terrestrial…
Vertical Heterogeneous Networks Beyond 5G: CoMP Coverage Enhancement and Optimization
Tian Shi, Wenkun Wen, Peiran Wu +1
Low-altitude wireless networks are increasingly vital for the low-altitude economy, enabling wireless coverage in high-mobility and hard-to-reach environments. However, providing r…
Unified Block Signal Processing Framework for LPWANs: Sequence Index Modulation Spreading
Wenkun Wen, Tierui Min, Long Yuan +1
Low-power wide-area networks (LPWANs) demand high receiver sensitivity and efficient physical-layer signal processing. This paper introduces a unified framework for generalized blo…
Hybrid CNN-Transformer Based Sparse Channel Prediction for High-Mobility OTFS Systems
Zhaowei Guan, Wenkun Wen, Peiran Wu +2
High-mobility scenarios in next-generation wireless networks, such as those involving vehicular communications, require ultra-reliable and low-latency communications (URLLC). Howev…