Artificial intelligence and wireless communications
J Wang, R Li, J Wang, Y Ge, Q Zhang, W Shi - Frontiers of Information …, 2020 - Springer
The applications of artificial intelligence (AI) and machine learning (ML) technologies in
wireless communications have drawn significant attention recently. AI has demonstrated real …
wireless communications have drawn significant attention recently. AI has demonstrated real …
Broadband analog aggregation for low-latency federated edge learning
To leverage rich data distributed at the network edge, a new machine-learning paradigm,
called edge learning, has emerged where learning algorithms are deployed at the edge for …
called edge learning, has emerged where learning algorithms are deployed at the edge for …
Overview of distributed machine learning techniques for 6G networks
The main goal of this paper is to survey the influential research of distributed learning
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …
User scheduling for federated learning through over-the-air computation
A new machine learning (ML) technique termed as federated learning (FL) aims to preserve
data at the edge devices and to only exchange ML model parameters in the learning …
data at the edge devices and to only exchange ML model parameters in the learning …
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Data-driven machine learning (ML) is promoted as one potential technology to be used in
next-generation wireless systems. This led to a large body of research work that applies ML …
next-generation wireless systems. This led to a large body of research work that applies ML …
Scope of machine learning applications for addressing the challenges in next‐generation wireless networks
RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …
makes mobile technology very popular among users. Due to this popularity, there has been …
Machine learning techniques for 5G and beyond
Wireless communication systems play a very crucial role in modern society for
entertainment, business, commercial, health and safety applications. These systems keep …
entertainment, business, commercial, health and safety applications. These systems keep …
The rfml ecosystem: A look at the unique challenges of applying deep learning to radio frequency applications
While deep machine learning technologies are now pervasive in state-of-the-art image
recognition and natural language processing applications, only in recent years have these …
recognition and natural language processing applications, only in recent years have these …
An overview of intelligent wireless communications using deep reinforcement learning
Future wireless communication networks tend to be intelligentized to accomplish the
missions that cannot be preprogrammed. In the new intelligent communication systems …
missions that cannot be preprogrammed. In the new intelligent communication systems …