When machine learning meets spectrum sharing security: Methodologies and challenges

Q Wang, H Sun, RQ Hu… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …

Template matching-based method for intelligent invoice information identification

Y Sun, X Mao, S Hong, W Xu, G Gui - IEEE access, 2019 - ieeexplore.ieee.org
The increasing use of invoicing has created an unnecessary burden on labor and material
resources in the financial sector. This paper proposes a method to intelligently identify …

Multi-task cascaded convolutional networks based intelligent fruit detection for designing automated robot

L Zhang, G Gui, AM Khattak, M Wang, W Gao… - IEEE Access, 2019 - ieeexplore.ieee.org
Effective and efficient fruit detection is considered crucial for designing automated robot
(AuRo) for yield estimation, disease control, harvesting, sorting, and grading. Several fruit …

Federated cooperation and augmentation for power allocation in decentralized wireless networks

M Yan, B Chen, G Feng, S Qin - IEEE Access, 2020 - ieeexplore.ieee.org
Emerging mobile edge techniques and applications such as Augmented Reality (AR)/Virtual
Reality (VR), Internet of Things (IoT), and vehicle networking, result in an explosive growth of …

Multitask and multiobjective joint resource optimization for UAV-assisted air-ground integrated networks under emergency scenarios

X Song, M Cheng, L Lei, Y Yang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To face the challenges in emergency scenarios, a multitask and multiobjective optimization
algorithm for computation offloading and relay communication is investigated for the air …

Deep learning for signal demodulation in physical layer wireless communications: Prototype platform, open dataset, and analytics

H Wang, Z Wu, S Ma, S Lu, H Zhang, G Ding… - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

Joint power control and channel allocation for interference mitigation based on reinforcement learning

G Zhao, Y Li, C Xu, Z Han, Y Xing, S Yu - IEEE Access, 2019 - ieeexplore.ieee.org
In dense Wireless Local Area Networks (WLANs), high-density Access Points (APs) bring
severe interference that seriously affects the experience of users, resulting in lower …

Q-learning based physical-layer secure game against multiagent attacks

Y Xu, J Xia, H Wu, L Fan - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we consider a Q-learning-based power allocation strategy for a secure
physical-layer system under dynamic radio environments. In such a system, the transmitter …

Big data-based improved data acquisition and storage system for designing industrial data platform

D Geng, C Zhang, C Xia, X Xia, Q Liu, X Fu - IEEE Access, 2019 - ieeexplore.ieee.org
Big data-based acquisition and storage system (ASS) plays an important role in the design
of industrial data platform. Many big data frameworks have been integrated compression …

Distributed unsupervised learning for interference management in integrated sensing and communication systems

X Liu, H Zhang, K Long, A Nallanathan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Nowadays, the multi-access interference problem in the ISAC systems can not be ignored.
The study on interference management in ISAC has been envisioned as one of key …