Beyond D2D: Full dimension UAV-to-everything communications in 6G
In this paper, we consider an Internet of unmanned aerial vehicles (UAVs) over cellular
networks, where UAVs work as aerial users to collect various sensory data, and send the …
networks, where UAVs work as aerial users to collect various sensory data, and send the …
NAS-AMR: Neural architecture search-based automatic modulation recognition for integrated sensing and communication systems
Automatic modulation recognition (AMR) technique plays an important role in the
identification of modulation types of unknown signal of integrated sensing and …
identification of modulation types of unknown signal of integrated sensing and …
6G security challenges and potential solutions
Although the fifth generation wireless networks are yet to be fully investigated, the vision and
key elements of the 6th generation (6G) ecosystem have already come into discussion. In …
key elements of the 6th generation (6G) ecosystem have already come into discussion. In …
Semi-supervised federated learning based intrusion detection method for internet of things
Federated learning (FL) has become an increasingly popular solution for intrusion detection
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …
Deep reinforcement learning based mobile edge computing for intelligent Internet of Things
R Zhao, X Wang, J Xia, L Fan - Physical Communication, 2020 - Elsevier
In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet
of things (IoT), where multiple users have some computational tasks assisted by multiple …
of things (IoT), where multiple users have some computational tasks assisted by multiple …
Multi-task learning for generalized automatic modulation classification under non-Gaussian noise with varying SNR conditions
Automatic modulation classification (AMC) is a critical algorithm for the identification of
modulation types so as to enable more accurate demodulation in the non-cooperative …
modulation types so as to enable more accurate demodulation in the non-cooperative …
HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks
ZM Fadlullah, N Kato - IEEE Transactions on Emerging Topics …, 2020 - ieeexplore.ieee.org
A heterogeneous computing architecture is essential to facilitate intelligent network traffic
control for a joint computation, communication, and collaborative caching optimization in 6G …
control for a joint computation, communication, and collaborative caching optimization in 6G …
[HTML][HTML] Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
[HTML][HTML] A review on 6G for space-air-ground integrated network: Key enablers, open challenges, and future direction
PP Ray - Journal of King Saud University-Computer and …, 2022 - Elsevier
Abstract Space-air-ground integrated network (SAGIN) is still in nascent stage of design.
Despite of several key insights onto the augmentation of terrestrial, aerial and satellite …
Despite of several key insights onto the augmentation of terrestrial, aerial and satellite …
[PDF][PDF] 6G vision: An ultra-flexible perspective
The upcoming sixth generation (6G) communications systems are expected to support an
unprecedented variety of applications, pervading every aspect of human life. It is clearly not …
unprecedented variety of applications, pervading every aspect of human life. It is clearly not …