Deep reinforcement learning for Internet of Things: A comprehensive survey

W Chen, X Qiu, T Cai, HN Dai… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …

Security and privacy for reconfigurable intelligent surface in 6G: A review of prospective applications and challenges

F Naeem, M Ali, G Kaddoum, C Huang… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
While sixth-generation (6G) wireless systems are expected to bring about an explosion of
accessible user information and novel technologies, along with new threats to terrestrial and …

Deep reinforcement learning-based intelligent reflecting surface for secure wireless communications

H Yang, Z Xiong, J Zhao, D Niyato… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study an intelligent reflecting surface (IRS)-aided wireless secure
communication system, where an IRS is deployed to adjust its reflecting elements to secure …

Regional blockchain for vehicular networks to prevent 51% attacks

R Shrestha, SY Nam - IEEE Access, 2019 - ieeexplore.ieee.org
The next generation of vehicles will be autonomous, connected, electric, and intelligent with
distinct requirements such as high mobility, low latency, real-time applications, seamless …

Secure cache-aided multi-relay networks in the presence of multiple eavesdroppers

J Xia, L Fan, W Xu, X Lei, X Chen… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In this paper, we investigate the security of a cache-aided multi-relay communication
network in the presence of multiple eavesdroppers, where each relay can pre-store a part of …

Deep learning-based channel prediction for edge computing networks toward intelligent connected vehicles

G Liu, YAN Xu, Z He, Y Rao, J Xia, L Fan - IEEE Access, 2019 - ieeexplore.ieee.org
With the development of intelligent connected vehicles (ICVs), there emerge many new
services and applications which involve intensive computation. To support the intensive …

Q-learning based physical-layer secure game against multiagent attacks

Y Xu, J Xia, H Wu, L Fan - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we consider a Q-learning-based power allocation strategy for a secure
physical-layer system under dynamic radio environments. In such a system, the transmitter …

Joint spectrum resource allocation in NOMA-based cognitive radio network with SWIPT

Z Song, X Wang, Y Liu, Z Zhang - IEEE access, 2019 - ieeexplore.ieee.org
In a conventional cognitive radio (CR) network, only when the primary user's (PU) frequency
bands are sensed to be free, secondary users (SUs) can utilize these frequency band …

GFDM based wireless powered communication for cooperative relay system

Z Na, J Lv, M Zhang, B Peng, M Xiong, M Guan - IEEE Access, 2019 - ieeexplore.ieee.org
Green and sustainable communications are crucial for cellular devices and the Internet of
Things (IoT) devices in the fifth generation (5G) mobile communication system. Wireless …

Intelligent secure communication for Internet of Things with statistical channel state information of attacker

J Xia, Y Xu, D Deng, Q Zhou, L Fan - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we investigate the power control strategy of intelligent secure communication
with statistic channel state information (CSI) for Internet of Things (IoT) networks, where a …