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 …
[HTML][HTML] 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 …
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 …
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 …
[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 …
Joint IRS selection and passive beamforming in multiple IRS-UAV enhanced anti-jamming D2D communication networks
Intelligent reflective surfaces (IRSs) as low energy consumption and easy to attach devices
have been widely applied in the field of anti-jamming recently. In particular, the combination …
have been widely applied in the field of anti-jamming recently. In particular, the combination …
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 …
STAR-RIS assisted wireless powered IoT networks
The paper proposes a novel design of simultaneously transmitting and reflecting
reconfigurable intelligent surfaces (STAR-RIS) in a wireless powered Internet of Things (IoT) …
reconfigurable intelligent surfaces (STAR-RIS) in a wireless powered Internet of Things (IoT) …
Performance analysis of IOS-assisted NOMA system with channel correlation and phase errors
In this paper, we investigate the performance of an intelligent omni-surface (IOS) assisted
downlink non-orthogonal multiple access (NOMA) network with phase quantization errors …
downlink non-orthogonal multiple access (NOMA) network with phase quantization errors …
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 …