Holistic network virtualization and pervasive network intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
Applications of generative adversarial networks in anomaly detection: a systematic literature review
Anomaly detection has become an indispensable tool for modern society, applied in a wide
range of applications, from detecting fraudulent transactions to malignant brain tumors. Over …
range of applications, from detecting fraudulent transactions to malignant brain tumors. Over …
Generative AI for secure physical layer communications: A survey
Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
Generative AI for physical layer communications: A survey
The recent evolution of generative artificial intelligence (GAI) leads to the emergence of
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
groundbreaking applications such as ChatGPT, which not only enhances the efficiency of …
At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
From 5G to 6G networks, a survey on AI-Based jamming and interference detection and mitigation
Fifth-generation and Beyond (5GB) networks are transformational technologies to
revolutionize future wireless communications in terms of massive connectivity, higher …
revolutionize future wireless communications in terms of massive connectivity, higher …
Open set wireless transmitter authorization: Deep learning approaches and dataset considerations
S Hanna, S Karunaratne… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Due to imperfections in transmitters' hardware, wireless signals can be used to verify their
identity in an authorization system. While deep learning was proposed for transmitter …
identity in an authorization system. While deep learning was proposed for transmitter …
Automatic jamming signal classification in cognitive UAV radios
The integration of Cognitive Radio (CR) with Unmanned Aerial Vehicles (UAVs) is an
effective step towards relieving the spectrum scarcity and empowering the UAV with a high …
effective step towards relieving the spectrum scarcity and empowering the UAV with a high …
Machine learning in NextG networks via generative adversarial networks
E Ayanoglu, K Davaslioglu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Generative Adversarial Networks (GANs) are Machine Learning (ML) algorithms that have
the ability to address competitive resource allocation problems together with detection and …
the ability to address competitive resource allocation problems together with detection and …
When machine learning meets spectrum sharing security: Methodologies and challenges
The exponential growth of Internet connected systems has generated numerous challenges,
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …
such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions …