221 citations · 703 across the 18 of their papers we have counts for
18 papers
Spectrum Prediction With Deep 3D Pyramid Vision Transformer Learning
Guangliang Pan, Qihui Wu, Bo Zhou +4
In this paper, we propose a deep learning (DL)-based task-driven spectrum prediction framework, named DeepSPred. The DeepSPred comprises a feature encoder and a task predictor, whe…
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
Jianhang Zhu, Rongpeng Li, Guoru Ding +4
Along with the fast development of network technology and the rapid growth of network equipment, the data throughput is sharply increasing. To handle the problem of backhaul bottle…
Edge Semantic Cognitive Intelligence for 6G Networks: Novel Theoretical Models, Enabling Framework, and Typical Applications
Peihao Dong, Qihui Wu, Xiaofei Zhang +1
Edge intelligence is anticipated to underlay the pathway to connected intelligence for 6G networks, but the organic confluence of edge computing and artificial intelligence still n…
An Edge Computing Paradigm for Massive IoT Connectivity over High-Altitude Platform Networks
Malong Ke, Zhen Gao, Yang Huang +4
With the advent of the Internet-of-Things (IoT) era, the ever-increasing number of devices and emerging applications have triggered the need for ubiquitous connectivity and more ef…
3D Spectrum Mapping Based on ROI-Driven UAV Deployment
Qihui Wu, Feng Shen, Zheng Wang +1
Given the explosive growth of Internet of Things (IoT) devices ranging from the two-dimensional (2D) ground to the three-dimensional (3D) space, it is a necessity to establish a 3D…
Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics
Hongmei Wang, Zhenzhen Wu, Shuai Ma +4
In this paper, we investigate deep learning (DL)-enabled signal demodulation methods and establish the first open dataset of real modulated signals for wireless communication syste…