Reinforcement learning-based physical cross-layer security and privacy in 6G
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
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 …
IRS-aided energy-efficient secure WBAN transmission based on deep reinforcement learning
Wireless body area networks (WBANs) are vulnerable to active eavesdropping that
simultaneously perform sniffing and jamming to raise the sensor transmit power, and thus …
simultaneously perform sniffing and jamming to raise the sensor transmit power, and thus …
Design and application of intelligent reflecting surface (IRS) for beyond 5G wireless networks: A review
The existing sub-6 GHz band is insufficient to support the bandwidth requirement of
emerging data-rate-hungry applications and Internet of Things devices, requiring …
emerging data-rate-hungry applications and Internet of Things devices, requiring …
STAR-RIS assisted secure transmission for downlink multi-carrier NOMA networks
This paper investigates the secrecy performance for simultaneously transmitting and
reflecting reconfigurable intelligent surface (STAR-RIS) assisted downlink multi-carrier non …
reflecting reconfigurable intelligent surface (STAR-RIS) assisted downlink multi-carrier non …
Hybrid hierarchical DRL enabled resource allocation for secure transmission in multi-IRS-assisted sensing-enhanced spectrum sharing networks
Secure communications are of paramount importance in spectrum sharing networks due to
the allocation and sharing characteristics of spectrum resources. To further explore the …
the allocation and sharing characteristics of spectrum resources. To further explore the …
FlyReflect: Joint flying IRS trajectory and phase shift design using deep reinforcement learning
Aerial access infrastructures have been considered a compulsory component of the sixth-
generation (6G) networks, where airborne vehicles play the role of mobile access points to …
generation (6G) networks, where airborne vehicles play the role of mobile access points to …
Artificial intelligence empowered physical layer security for 6G: State-of-the-art, challenges, and opportunities
S Zhang, D Zhu, Y Liu - Computer Networks, 2024 - Elsevier
With the commercial deployment of the 5G system, researchers from both academia and
industry are moving attention to the blueprint of the 6G system. The space-air-ground-sea …
industry are moving attention to the blueprint of the 6G system. The space-air-ground-sea …
Energy-efficient mobile edge computing in RIS-aided OFDM-NOMA relay networks
Z Luo, G Huang - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
In this paper, the design of task offloading and computing strategy in a mobile edge
computing (MEC) system deployed over a reconfigurable intelligent surface (RIS)-aided …
computing (MEC) system deployed over a reconfigurable intelligent surface (RIS)-aided …
IRS-empowered 6G networks: deployment strategies, performance optimization, and future research directions
The performance of the envisioned 6G network is fundamentally constrained by the
uncontrollable and random wireless communication channel. Intelligent reflecting surfaces …
uncontrollable and random wireless communication channel. Intelligent reflecting surfaces …