3 citations · 3 across the 7 of their papers we have counts for
10 papers
Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks
Peihao Dong, Chaowei He, Shen Gao +2
In hierarchical cognitive radio networks, edge or cloud servers utilize the data collected by edge devices for modulation classification, which, however, is faced with problems of…
SSwsrNet: A Semi-Supervised Few-Shot Learning Framework for Wireless Signal Recognition
Hao Zhang, Fuhui Zhou, Qihui Wu +1
Wireless signal recognition (WSR) is crucial in modern and future wireless communication networks since it aims to identify properties of the received signal. Although many deep le…
KGAMC: A Novel Knowledge Graph Driven Automatic Modulation Classification Scheme
Yike Li, Lu Yua, Fuhui Zhou +3
Automatic modulation classification (AMC) is a promising technology to realize intelligent wireless communications in the sixth generation (6G) wireless communication networks. Rec…
Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection
Xi Song, Lu Yuan, Zhibo Qu +4
Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the existing UAV-based object detection systems are subject to the serious challenge, namely, the fin…
Resource Management for IRS-assisted WP-MEC Networks with Practical Phase Shift Model
Nana Li, Wanming Hao, Fuhui Zhou +3
Wireless powered mobile edge computing (WP-MEC) has been recognized as a promising solution to enhance the computational capability and sustainable energy supply for low-power wire…
A Partially Observable Deep Multi-Agent Active Inference Framework for Resource Allocation in 6G and Beyond Wireless Communications Networks
Fuhui Zhou, Rui Ding, Qihui Wu +3
Resource allocation is of crucial importance in wireless communications. However, it is extremely challenging to design efficient resource allocation schemes for future wireless co…