22 citations · 69 across the 17 of their papers we have counts for
17 papers
ControlRadio: Prompt-Driven Controllable Diffusion for Cross-Modal Radio Map Generation
Kangjun Liu, Xiying Pan, Shuhang Zhang +3
Radio maps describe how wireless signals propagate across space and are essential for wireless communication, sensing, and network planning. However, constructing accurate radio ma…
Diffusion Models for Radio Map Estimation: Theoretical Performance Analysis and Sampling Rate Guideline
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang +2
Radio maps, which characterize the spatial distribution of radio frequency metrics, such as the received signal strength, are essential for a wide range of wireless applications. T…
Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm
Feng Qiu, Zheng Fang, Shuhang Zhang +4
Learning-based radio map estimation (RME) plays a critical role in UAV-assisted wireless sensing, enabling tasks such as coverage prediction and network optimization. Most current…
RadioPiT: Radio Map Generation with Pixel Transformer Driven by Ultra-Sparse Real-World Data
Zeyao Sun, Bohao Fan, Qingyu Liu +2
As wireless communication networks rapidly evolve, spectrum resources are increasingly scarce, making effective spectrum management critically important. Radio map is a spatial rep…
A Fine-Grained 3D Radio Map Construction Paradigm with Ultra-Low Sampling Rates by Large Generative Models
Zhiyuan Liu, Qingyu Liu, Shuhang Zhang +2
A radio map captures the spatial distribution of wireless channel parameters, such as the strength of the signal received, across a geographic area. The problem of fine-grained thr…
End-Edge Model Collaboration: Bandwidth Allocation for Data Upload and Model Transmission
Dailin Yang, Shuhang Zhang, Hongliang Zhang +1
The widespread adoption of large artificial intelligence (AI) models has enabled numerous applications of the Internet of Things (IoT). However, large AI models require substantial…
WiFi-Diffusion: Achieving Fine-Grained WiFi Radio Map Estimation With Ultra-Low Sampling Rate by Diffusion Models
Zhiyuan Liu, Shuhang Zhang, Qingyu Liu +2
Fine-grained radio map presents communication parameters of interest, e.g., received signal strength, at every point across a large geographical region. It can be leveraged to impr…
Generative AI on SpectrumNet: An Open Benchmark of Multiband 3D Radio Maps
Shuhang Zhang, Shuai Jiang, Wanjie Lin +4
Radio map is an efficient demonstration for visually displaying the wireless signal coverage within a certain region. It has been considered to be increasingly helpful for the futu…
Large Models for Aerial Edges: An Edge-Cloud Model Evolution and Communication Paradigm
Shuhang Zhang, Qingyu Liu, Ke Chen +6
The future sixth-generation (6G) of wireless networks is expected to surpass its predecessors by offering ubiquitous coverage through integrated air-ground facility deployments in…
Intelligent Omni-Surface: Ubiquitous Wireless Transmission by Reflective-Transmissive Metasurface
Shuhang Zhang, Hongliang Zhang, Boya Di +5
Intelligent reflecting surface (IRS), which is capable to adjust propagation conditions by controlling phase shifts of the reflected waves that impinge on the surface, has been wid…
Beyond Intelligent Reflecting Surfaces: Reflective-Transmissive Metasurface Aided Communications for Full-dimensional Coverage Extension
Shuhang Zhang, Hongliang Zhang, Boya Di +3
In this paper, we study an intelligent omni-surface (IOS)-assisted downlink communication system, where the link quality of a mobile user (MU) can be improved with a proper IOS pha…
Sense-Store-Send: Trajectory Optimization for a Buffer-aided Internet of UAVs
Yujie Jin, Hongliang Zhang, Shuhang Zhang +2
In this letter, we study a buffer-aided Internet of unmanned aerial vehicles (UAVs) in which a UAV performs data sensing, stores the data, and sends it to the base station (BS) in…
Beyond D2D: Full Dimension UAV-to-Everything Communications in 6G
Shuhang Zhang, Hongliang Zhang, Lingyang Song
In this paper, we consider an Internet of unmanned aerial vehicles (UAVs) over cellular networks, where UAVs work as aerial users to collect various sensory data, and send the coll…
Sensing and Communication Tradeoff Design for AoI Minimization in a Cellular Internet of UAVs
Shuhang Zhang, Hongliang Zhang, Lingyang Song +2
In this paper, we consider the cellular Internet of unmanned aerial vehicles (UAVs), where UAVs sense data for multiple tasks and transmit the data to the base station (BS). To qua…
Cellular Controlled Cooperative Unmanned Aerial Vehicle Networks with Sense-and-Send Protocol
Shuhang Zhang, Hongliang Zhang, Boya Di +1
In this paper, we consider a cellular controlled unmanned aerial vehicle (UAV) sensing network in which multiple UAVs cooperatively complete each sensing task. We first propose a s…
Cellular UAV-to-X Communications: Design and Optimization for Multi-UAV Networks
Shuhang Zhang, Hongliang Zhang, Boya Di +1
In this paper, we consider a single-cell cellular network with a number of cellular users (CUs) and unmanned aerial vehicles (UAVs), in which multiple UAVs upload their collected d…
Sub-channel and Power Allocation for Non-orthogonal Multiple Access Relay Networks with Amplify-and-Forward Protocol
Shuhang Zhang, Boya Di, Lingyang Song +1
In this paper, we study the resource allocation problem for a single-cell non-orthogonal multiple access (NOMA) relay network where an OFDM amplify-and-forward (AF) relay allocates…