[HTML][HTML] Emerging technologies for 6G communication networks: Machine learning approaches
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
Secure precoding optimization for NOMA-aided integrated sensing and communication
Z Yang, D Li, N Zhao, Z Wu, Y Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Integrated sensing and communication (ISAC) is an up-and-coming technique for future 6G
networks. However, the communication message carried by the detection waveform will face …
networks. However, the communication message carried by the detection waveform will face …
Adversarial attack and defense on deep learning for air transportation communication jamming
Air transportation communication jamming recognition model based on deep learning (DL)
can quickly and accurately identify and classify communication jamming, to improve the …
can quickly and accurately identify and classify communication jamming, to improve the …
Unmanned-aerial-vehicle-assisted wireless networks: Advancements, challenges, and solutions
The rapid development of communication and computing techniques enables unmanned
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …
A covert jamming scheme against an intelligent eavesdropper in cooperative cognitive radio networks
In this work, we design a covert jamming scheme against an intelligent Eve towards physical
layer security in a cooperative cognitive radio networks. To protect the primary message …
layer security in a cooperative cognitive radio networks. To protect the primary message …
Secure video offloading in MEC-enabled IIoT networks: A multi-cell federated deep reinforcement learning approach
Wireless video offloading in mobile-edge-computing (MEC)-enabled Industrial Internet of
Things imposes a risk of exposing users' private data to eavesdroppers. It is difficult for …
Things imposes a risk of exposing users' private data to eavesdroppers. It is difficult for …
Full-duplex constant-envelope jamceiver and self-interference suppression by highpass filter: experimental validation for Wi-Fi security
J Marin, M Bernhardt, T Riihonen - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
Unauthorized access to data has been a recognized risk of wireless systems for many
decades. While security solutions in communications engineering have typically revolved …
decades. While security solutions in communications engineering have typically revolved …
Deep reinforcement learning for RIS-aided secure mobile edge computing in industrial internet of things
J Xu, A Xu, L Chen, Y Chen, X Liang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been regarded as a promising paradigm to support the
compute-intensive and delay-sensitive industrial Internet of things (IIoT) applications …
compute-intensive and delay-sensitive industrial Internet of things (IIoT) applications …
FD-NOMA enabled multiuser transmission with backscatter communication
This letter investigates a full-duplex (FD) non-orthogonal multiple access (NOMA) enabled
multiuser transmission with backscatter communication (FD-MTBC), where a multiuser …
multiuser transmission with backscatter communication (FD-MTBC), where a multiuser …
Secure swarm UAV-assisted communications with cooperative friendly jamming
This article proposes a cooperative friendly jamming framework for swarm unmanned aerial
vehicle (UAV)-assisted amplify-and-forward (AF) relaying networks with wireless energy …
vehicle (UAV)-assisted amplify-and-forward (AF) relaying networks with wireless energy …