Pervasive machine learning for smart radio environments enabled by reconfigurable intelligent surfaces

GC Alexandropoulos, K Stylianopoulos… - Proceedings of the …, 2022 - ieeexplore.ieee.org
The emerging technology of reconfigurable intelligent surfaces (RISs) is provisioned as an
enabler of smart wireless environments, offering a highly scalable, low-cost, hardware …

Vehicular communications: A physical layer perspective

L Liang, H Peng, GY Li, X Shen - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Vehicular communications have attracted more and more attention recently from both
industry and academia due to their strong potential to enhance road safety, improve traffic …

Optimal energy allocation for wireless communications with energy harvesting constraints

CK Ho, R Zhang - IEEE Transactions on Signal Processing, 2012 - ieeexplore.ieee.org
We consider the use of energy harvesters, in place of conventional batteries with fixed
energy storage, for point-to-point wireless communications. In addition to the challenge of …

Spatial spectrum and energy efficiency of random cellular networks

X Ge, B Yang, J Ye, G Mao, CX Wang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
It is a great challenge to evaluate the network performance of cellular mobile communication
systems. In this paper, we propose new spatial spectrum and energy efficiency models for …

Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems

AS Leong, A Ramaswamy, DE Quevedo, H Karl, L Shi - Automatica, 2020 - Elsevier
In many cyber–physical systems, we encounter the problem of remote state estimation of
geographically distributed and remote physical processes. This paper studies the …

Instantly decodable network coding: From centralized to device-to-device communications

A Douik, S Sorour, TY Al-Naffouri… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
From its introduction to its quindecennial, network coding has built a strong reputation for
enhancing packet recovery and achieving maximum information flow in both wired and …

A review on solar forecasting and power management approaches for energy‐harvesting wireless sensor networks

A Sharma, A Kakkar - International Journal of Communication …, 2020 - Wiley Online Library
For rechargeable wireless sensor nodes, effective power management is of prime
importance because of the stochastic behaviour of the environmental resources. A key issue …

Memory-based adaptive event-triggered secure control of Markovian jum** neural networks suffering from deception attacks

L Yao, X Huang - Science China Technological Sciences, 2023 - Springer
In this article, we study the secure control of the Markovian jum** neural networks
(MJNNs) subject to deception attacks. Considering the limitation of the network bandwidth …

Genetic-algorithm-assisted sliding-mode control for networked state-saturated systems over hidden Markov fading channels

J Song, Z Wang, Y Niu, H Dong - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The sliding-mode control (SMC) problem is studied in this article for state-saturated systems
over a class of time-varying fading channels. The underlying fading channels, whose …

Nonorthogonal HARQ for URLLC: Design and analysis

F Nadeem, M Shirvanimoghaddam… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The fifth generation (5G) of mobile standards is expected to provide ultrareliability and low-
latency communications (URLLC) for various applications and services, such as online …