Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey

NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …

Data-driven Integrated Sensing and Communication: Recent Advances, Challenges, and Future Prospects

H Salem, MD Quamar, A Mansoor, M Elrashidy… - arXiv preprint arXiv …, 2023 - arxiv.org
Integrated Sensing and Communication (ISAC), combined with data-driven approaches, has
emerged as a highly significant field, garnering considerable attention from academia and …

Deep learning-based selective spectrum sensing and allocation in cognitive vehicular radio networks

A Paul, K Choi - Vehicular Communications, 2023 - Elsevier
The main challenge with Vehicular Ad-Hoc Networks (VANETs) for assisting Intelligent
Transportation Services (ITSs) is ensuring effective data delivery under various network …

SIPFormer: Segmentation of multiocular biometric traits with transformers

B Hassan, T Hassan, R Ahmed… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The advancements in machine vision have opened up new avenues for implementing
multimodal biometric identification systems for real-world applications. These systems can …

MASSnet: Deep Learning-Based Multiple-Antenna Spectrum Sensing for Cognitive Radio-Enabled Internet of Things

L Zhang, S Zheng, K Qiu, C Lou… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Cognitive radio-based Internet of Things (CR-IoTs) provide an efficient spectrum
management for IoT networks with massive wireless access and data transmission needs …

Secrecy Performance Intelligent Prediction for Mobile Vehicular Networks: An DI-CNN Approach

L Xu, H Tang, H Li, X Li, TA Gulliver… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid expansion of Internet of Vehicles (IoV) networks has facilitated high throughput
and reliable vehicular communications. Mobile vehicular networks face the challenges …

Blockchain-Based Resource Allocation Mechanism for the Internet of Vehicles: Balancing Efficiency and Security

Z Hu, B Liu, A Shen, J Luo - IEEE Transactions on Network and …, 2024 - ieeexplore.ieee.org
In the Internet of Vehicles (IoV), the data sharing between the participating vehicles and the
roadside units (RSUs) provides intelligent ground transportation with convenience and …

Spectrum Prediction for Mobile Internet of Things Based on a DB-LSTM Algorithm

L Xu, Z Gao, Z Chen, J Wang, Y Fu, X Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The fast advancement of 5G mobile communications, artificial intelligence and big data
technology has driven the development of the Internet of Things (IoT), while at the same time …

FlameNet: A Real-Time, Lightweight Fire & Smoke Detection Solution for Internet of Vehicles

KK Mondal, D Das - 2023 International Wireless …, 2023 - ieeexplore.ieee.org
The growth of the Internet of Vehicles (IoV) has introduced new challenges and
opportunities. Among the most crucial considerations is ensuring the safety of passengers …

A Fast Anti-Jamming Algorithm Based on Imitation Learning for WSN

W Zhou, Z Zhou, Y Niu, Q Zhou, H Ding - Sensors, 2023 - mdpi.com
Wireless sensor networks (WSNs), integral components underpinning the infrastructure of
the internet of things (IoT), confront escalating threats originating from attempts at malicious …