activity
20182025
most citedPropagation Map Reconstruction via Interpolation Assisted Matrix Completion

49 citations · 99 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SY2025★ 13 cited

Radio Map Assisted Routing and Predictive Resource Allocation over Dynamic Low Altitude Networks

Bowen Li, Junting Chen

Dynamic low altitude networks offer significant potential for efficient and reliable data transport via unmanned aerial vehicles (UAVs) relays which usually operate with predetermi…

cs.LG2025

RadioDiff-3D: A 3D3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication

Xiucheng Wang, Qiming Zhang, Nan Cheng +5

Radio maps (RMs) serve as a critical foundation for enabling environment-aware wireless communication, as they provide the spatial distribution of wireless channel characteristics.…

eess.SP2025

Empowering Intelligent Low-altitude Economy with Large AI Model Deployment

Zhonghao Lyu, Yulan Gao, Junting Chen +4

Low-altitude economy (LAE) represents an emerging economic paradigm that redefines commercial and social aerial activities. Large artificial intelligence models (LAIMs) offer trans…

eess.SP2024

Energy-modified Leverage Sampling for Radio Map Construction via Matrix Completion

Hao Sun, Junting Chen

This paper explores an energy-modified leverage sampling strategy for matrix completion in radio map construction. The main goal is to address potential identifiability issues in m…

eess.SP2024

Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing

Wang Jie, Zhu Qiuming, Lin Zhipeng +5

The radio environment map (REM) visually displays the spectrum information over the geographical map and plays a significant role in monitoring, management, and security of spectru…

eess.SP2024★ 1 cited

Diffraction and Scattering Aware Radio Map and Environment Reconstruction using Geometry Model-Assisted Deep Learning

Wangqian Chen, Junting Chen

Machine learning (ML) facilitates rapid channel modeling for 5G and beyond wireless communication systems. Many existing ML techniques utilize a city map to construct the radio map…

eess.SP2024

Integrated Interpolation and Block-term Tensor Decomposition for Spectrum Map Construction

Hao Sun, Junting Chen

This paper addresses the challenge of reconstructing a 3D power spectrum map from sparse, scattered, and incomplete spectrum measurements. It proposes an integrated approach combin…

cs.IT2024

Fast and Accurate Cooperative Radio Map Estimation Enabled by GAN

Zezhong Zhang, Guangxu Zhu, Junting Chen +1

In the 6G era, real-time radio resource monitoring and management are urged to support diverse wireless-empowered applications. This calls for fast and accurate estimation on the d…

eess.SP2024★ 13 cited

Radio Map Assisted Approach for Interference-Aware Predictive UAV Communications

Bowen Li, Junting Chen

Herein, an interference-aware predictive aerial-and-terrestrial communication problem is studied, where an unmanned aerial vehicle (UAV) delivers some data payload to a few nodes w…

cs.LG2023★ 1 cited

Constructing Indoor Region-based Radio Map without Location Labels

Zheng Xing, Junting Chen

Radio map construction requires a large amount of radio measurement data with location labels, which imposes a high deployment cost. This paper develops a region-based radio map fr…

eess.SY2022★ 16 cited

Geography-aware Optimal UAV 3D Placement for LOS Relaying: A Geometry Approach

Yuanshuai Zheng, Junting Chen

Many emerging technologies for the next generation wireless network prefer line-of-sight (LOS) propagation conditions to fully release their performance advantages. This paper stud…

eess.SP2022★ 49 cited

Propagation Map Reconstruction via Interpolation Assisted Matrix Completion

Hao Sun, Junting Chen

Constructing a propagation map from a set of scattered measurements finds important applications in many areas, such as localization, spectrum monitoring and management. Classical…

eess.SP2021

UAV-aided Radio Map Construction Exploiting Environment Semantics

Wenjie Liu, Junting Chen

This paper constructs a full dimensional (6D) radio map to predict the channel gain between any transmitter location and any receiver location based on received signal strength (RS…

stat.AP2021★ 3 cited

Testing Rank of Incomplete Unimodal Matrices

Rui Zhang, Junting Chen, Yao Xie +2

Several statistics-based detectors, based on unimodal matrix models, for determining the number of sources in a field are designed. A new variance ratio statistic is proposed, and…

cs.IT2018★ 3 cited

Efficient Local Map Search Algorithms for the Placement of Flying Relays

Junting Chen, David Gesbert

This paper studies the optimal unmanned aerial vehicle (UAV) placement problem for wireless networking. The UAV operates as a flying wireless relay to provide coverage extension fo…