Pervasive machine learning for smart radio environments enabled by reconfigurable intelligent surfaces
The emerging technology of reconfigurable intelligent surfaces (RISs) is provisioned as an
enabler of smart wireless environments, offering a highly scalable, low-cost, hardware …
enabler of smart wireless environments, offering a highly scalable, low-cost, hardware …
Vehicular communications: A physical layer perspective
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 …
industry and academia due to their strong potential to enhance road safety, improve traffic …
Optimal energy allocation for wireless communications with energy harvesting constraints
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 …
energy storage, for point-to-point wireless communications. In addition to the challenge of …
Spatial spectrum and energy efficiency of random cellular networks
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 …
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
In many cyber–physical systems, we encounter the problem of remote state estimation of
geographically distributed and remote physical processes. This paper studies the …
geographically distributed and remote physical processes. This paper studies the …
Instantly decodable network coding: From centralized to device-to-device communications
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 …
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
For rechargeable wireless sensor nodes, effective power management is of prime
importance because of the stochastic behaviour of the environmental resources. A key issue …
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 …
(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
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 …
over a class of time-varying fading channels. The underlying fading channels, whose …
Nonorthogonal HARQ for URLLC: Design and analysis
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 …
latency communications (URLLC) for various applications and services, such as online …