A TP-DDPG algorithm based on cache assistance for task offloading in urban rail transit

J Zhao, L He, D Zhang, X Gao - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapidly increase demand on reliable wireless communication for rail scenarios,
especially for real-time services, the resource limitations of on-board users are becoming …

Authentication technology in internet of things and privacy security issues in typical application scenarios

J Zhao, H Hu, F Huang, Y Guo, L Liao - Electronics, 2023 - mdpi.com
This paper mainly summarizes three aspects of information security: Internet of Things (IoT)
authentication technology, Internet of Vehicles (IoV) trust management, and IoV privacy …

Blockchain-based trust management model for vehicular ad hoc networks

J Zhao, F Huang, L Liao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Although vehicular ad hoc networks (VANETs) significantly enhance traffic convenience, the
propagation of erroneous information by malicious vehicles remains a challenging issue. To …

Channel estimation for high-speed railway wireless communications: A generative adversarial network approach

Q Zhang, H Dong, J Zhao - Electronics, 2023 - mdpi.com
In high-speed railways, the wireless channel and network topology change rapidly due to
the high-speed movement of trains and the constant change of the location of …

Deep Learning for Channel Estimation in Physical Layer Wireless Communications: Fundamental, Methods, and Challenges

C Lv, Z Luo - Electronics, 2023 - mdpi.com
With the rapid development of wireless communication technology, intelligent
communication has become one of the mainstream research directions after the fifth …

Shuffled arsh-fati: A novel meta-heuristic for lifetime maximization of range-adjustable wireless sensor networks

UU Tariq, H Ali, M Hussain, L Liu - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
Wireless Sensor Network (WSN) is an essential component of the Internet of Things (IoT),
enabling the creation of a vast network of interconnected devices and systems that can …

ResNet-WGAN-Based End-to-End Learning for IoV Communication With Unknown Channels

J Zhao, H Mu, Q Zhang, H Zhang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
An end-to-end learning framework is proposed to optimize each module jointly in the
communication system. Recently, convolutional neural network (CNN) and conditional …

Predicting Power Generation from a Combined Cycle Power Plant Using Transformer Encoders with DNN

Q Yi, H Xiong, D Wang - Electronics, 2023 - mdpi.com
With the development of the Smart Grid, accurate prediction of power generation is
becoming an increasingly crucial task. The primary goal of this research is to create an …

Extended multi-component gated recurrent graph convolutional network for traffic flow prediction

J Zhao, X Xiong, Q Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic flow prediction is a difficult undertaking in transportation systems, due to the intricate
periodicity and real-time dynamics for traffic data, spatial-temporal dependency for road …

Low complexity channel tracking algorithms for coordinated and uncoordinated pilot access over high-rate internet of things

H Soltanizadeh, A Falahati - Internet of Things, 2023 - Elsevier
Given that high-rate internet-of-things (IoT) applications are supported by ubiquitous
massive MIMO services, this paper introduces novel algorithms with significantly reduced …