1 citations · 1 across the 12 of their papers we have counts for
13 papers
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…
Generalized Two-Dimensional Index Modulation in the Code-Spatial Domain for LPWAN
Long Yuan, Wenkun Wen, Junlin Liu +2
Low-power wide-area networks (LPWANs) are crucial for large-scale Internet of Things (IoT) applications, yet they face increasing demands for higher data rates, improved reliabilit…
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…
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…
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…
A Novel Spreading-Factor-Index-Aided LoRa Scheme: Design and Performance Analysis
Hao Zeng, Huan Ma, Yi Fang +3
LoRa is a widely recognized modulation technology in the field of low power wide area networks (LPWANs). However, the data rate of LoRa is too low to satisfy the requirements of In…
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…
A Sparsity Adaptive Algorithm to Recover NB-IoT Signal from Legacy LTE Interference
Yijia Guo, Wenkun Wen, Peiran Wu +1
As a forerunner in 5G technologies, Narrowband Internet of Things (NB-IoT) will be inevitably coexisting with the legacy Long-Term Evolution (LTE) system. Thus, it is imperative fo…
How to Fully Exploit the Degrees of Freedom in the Downlink of MISO Systems With Opportunistic Beamforming
Minghua Xia, Wenkun Wen, Soo-Chang Kim
The opportunistic beamforming in the downlink of multiple-input single-output (MISO) systems forms transmit beams, usually, no more than the number of transmit antennas .…