activity
20232026
most citedSecrecy Sum-Rate Maximization for Active IRS-Assisted MIMO-OFDM SWIPT System

11 citations · 11 across the 12 of their papers we have counts for

collaborators

13 papers

cs.IT2026

A Survey of Typical-Cell Volume Distributions in Poisson--Voronoi and Poisson--Delaunay Tessellations: Analytical Theory, High-Dimensional Limits, and Wireless Applications

Minghua Xia, Tian Shi, Wenkunn Wen

Random spatial tessellations generated by point processes provide fundamental models for proximity, space partitioning, and local geometry in stochastic systems. Poisson--Voronoi a…

cs.LG2026

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…

cs.IT2026

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…

cs.IT2025

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…

cs.IT2025

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…

cs.IT2025

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…

cs.IT2025

Energy-Efficient Index and Code Index Modulations for Spread CPM Signals in Internet of Things

Long Yuan, Wenkun Wen, Junlin Liu +2

The evolution of Internet of Things technologies is driven by four key demands: ultra-low power consumption, high spectral efficiency, reduced implementation cost, and support for…

cs.IT2025

A CPFSK Transceiver with Hybrid CSS-DSSS Spreading for LPWAN PHY Communication

Wenkun Wen, Ruiqi Zhang, Peiran Wu +2

Traditional low-power wide-area network (LPWAN) transceivers typically compromise data rates to achieve deep coverage. This paper presents a novel transceiver that achieves high re…

cs.IT2024★ 11 cited

Secrecy Sum-Rate Maximization for Active IRS-Assisted MIMO-OFDM SWIPT System

Xingxiang Peng, Peiran Wu, Junhui Zhao +1

The propagation loss of RF signals is a significant issue in simultaneous wireless information and power transfer (SWIPT) systems. Additionally, ensuring information security is cr…

cs.NI2024

System-Level Simulation Framework for NB-IoT: Key Features and Performance Evaluation

Shutao Zhang, Wenkun Wen, Peiran Wu +5

Narrowband Internet of Things (NB-IoT) is a technology specifically designated by the 3rd Generation Partnership Project (3GPP) to meet the explosive demand for massive machine-typ…

cs.IT2024

Decentralized Federated Learning with Asynchronous Parameter Sharing for Large-scale IoT Networks

Haihui Xie, Minghua Xia, Peiran Wu +2

Federated learning (FL) enables wireless terminals to collaboratively learn a shared parameter model while keeping all the training data on devices per se. Parameter sharing consis…

cs.IT2023

Air-to-Ground Communications Beyond 5G: UAV Swarm Formation Control and Tracking

Xiao Fan, Peiran Wu, Minghua Xia

Unmanned aerial vehicle (UAV) communications have been widely accepted as promising technologies to support air-to-ground communications in the forthcoming sixth-generation (6G) wi…

cs.IT2023

Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication

Haihui Xie, Minghua Xia, Peiran Wu +2

In the Internet of Things (IoT) networks, edge learning for data-driven tasks provides intelligent applications and services. As the network size becomes large, different users may…