Machine learning-based antenna selection in wireless communications
J Joung - IEEE Communications Letters, 2016 - ieeexplore.ieee.org
This letter is the first attempt to conflate a machine learning technique with wireless
communications. Through interpreting the antenna selection (AS) in wireless …
communications. Through interpreting the antenna selection (AS) in wireless …
Machine learning in the air
Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …
learning (ML) is penetrating every facet of our lives, and transforming research in many …
A federated reinforcement learning framework for incumbent technologies in beyond 5G networks
Incumbent wireless technologies for futuristic fifth generation (5G) and beyond 5G (B5G)
networks, such as IEEE 802.11 ax (WiFi), are vital to provide ubiquitous ultra-reliable and …
networks, such as IEEE 802.11 ax (WiFi), are vital to provide ubiquitous ultra-reliable and …
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 …
enabler of smart wireless environments, offering a highly scalable, low-cost, hardware …
Artificial intelligence enabled radio propagation for communications—Part I: Channel characterization and antenna-channel optimization
To provide higher data rates, as well as better coverage, cost efficiency, security,
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …
The big-data-driven intelligent wireless network: architecture, use cases, solutions, and future trends
The concept of using big data (BD) for wireless communication network optimization is no
longer new. However, previous work has primarily focused on long-term policies in the …
longer new. However, previous work has primarily focused on long-term policies in the …
A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …
efforts focused on machine learning (ML) based performance improvement of wireless …
LORM: Learning to optimize for resource management in wireless networks with few training samples
Effective resource management plays a pivotal role in wireless networks, which,
unfortunately, typically results in challenging mixed-integer nonlinear programming (MINLP) …
unfortunately, typically results in challenging mixed-integer nonlinear programming (MINLP) …
Wireless for machine learning: A survey
As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Machine learning for 5G and beyond: From model-based to data-driven mobile wireless networks
T Wang, S Wang, ZH Zhou - China Communications, 2019 - ieeexplore.ieee.org
During the past few decades, mobile wireless communications have experienced four
generations of technological revolution, namely from 1G to 4G, and the deployment of the …
generations of technological revolution, namely from 1G to 4G, and the deployment of the …