Metaverse for wireless systems: Architecture, advances, standardization, and open challenges
The growing landscape of emerging wireless applications is a key driver towards the
development of novel wireless system designs. Such a design can be based on a metaverse …
development of novel wireless system designs. Such a design can be based on a metaverse …
A comprehensive survey of 6G wireless communications
While fifth-generation (5G) communications are being rolled out worldwide, sixth-generation
(6G) communications have attracted much attention from both the industry and the …
(6G) communications have attracted much attention from both the industry and the …
Deep reinforcement learning-based intelligent reflecting surface for secure wireless communications
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 …
communication system, where an IRS is deployed to adjust its reflecting elements to secure …
Intelligent reflecting surface assisted anti-jamming communications: A fast reinforcement learning approach
Malicious jamming launched by smart jammers can attack legitimate transmissions, which
has been regarded as one of the critical security challenges in wireless communications …
has been regarded as one of the critical security challenges in wireless communications …
Artificial intelligence implication on energy sustainability in Internet of Things: A survey
The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …
continuously increasing. The operations of these devices rely on consuming huge amounts …
Deep-reinforcement-learning-based energy-efficient resource management for social and cognitive Internet of Things
Internet of Things (IoT) has attracted much interest due to its wide applications, such as
smart city, manufacturing, transportation, and healthcare. Social and cognitive IoT is capable …
smart city, manufacturing, transportation, and healthcare. Social and cognitive IoT is capable …
Deep-reinforcement-learning-based user profile perturbation for privacy-aware recommendation
User profile perturbation protects privacy in the release of user profiles to receive
recommendation services, in which the privacy budget as a privacy parameter can be …
recommendation services, in which the privacy budget as a privacy parameter can be …
Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey
EC Vilas Boas, JDS e Silva, FAP de Figueiredo… - EURASIP Journal on …, 2022 - Springer
Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …
The applicability of reinforcement learning methods in the development of industry 4.0 applications
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …
problems. Our article gives a systematic overview of major types of RL methods, their …
Network traffic prediction in industrial Internet of Things backbone networks: A multitask learning mechanism
Industrial Internet of Things (IIoT), as a common industrial application of Internet of Things,
has been widely deployed in recent years. End-to-end network traffic is an essential …
has been widely deployed in recent years. End-to-end network traffic is an essential …