Artificial neural networks-based machine learning for wireless networks: A tutorial

M Chen, U Challita, W Saad, C Yin… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …

An open mobile communications drive test data set and its use for machine learning

S Farthofer, M Herlich, C Maier… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
The capability to provide guarantees for network metrics, such as latency, data rate, and
reliability will be an important factor for widespread adoption of next generation mobile …

[PDF][PDF] Lecture notes on machine learning for communications

G Böcherer - Lecture Notes on Machine Learning for …, 2021 - georg-boecherer.de
In recent years, we could observe very active academic and industrial research on using
machine learning for the design and implementation of communication systems, and …

[PDF][PDF] Thirty years of machine learning: The road to pareto-optimal next-generation wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - arXiv preprint arXiv …, 2019 - researchgate.net
Next-generation wireless networks (NGWN) have a substantial potential in terms of
supporting a broad range of complex compelling applications both in military and civilian …

Wireless for machine learning: A survey

H Hellström, JMB da Silva Jr, MM Amiri… - … and Trends® in …, 2022 - nowpublishers.com
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 …

[引用][C] Towards a technology and a science of machine learning

D Sleeman - AI Communications, 1994 - content.iospress.com
As you have already had a variety of very technical talks during this conference, I decided I
would give a general overview which is built on some of our recent experiences. In this talk, I …

Deep learning for wireless communications: An emerging interdisciplinary paradigm

L Dai, R Jiao, F Adachi, HV Poor… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Wireless communications are envisioned to bring about dramatic changes in the future, with
a variety of emerging applications, such as virtual reality, Internet of Things, and so on …

Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Leveraging machine learning for industrial wireless communications

I Malanchini, P Agostini, K Alam, M Baumgart… - arXiv preprint arXiv …, 2021 - arxiv.org
Two main trends characterize today's communication landscape and are finding their way
into industrial facilities: the rollout of 5G with its distinct support for vertical industries and the …

Application of machine learning in wireless networks: Key techniques and open issues

Y Sun, M Peng, Y Zhou, Y Huang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …