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 …

When 5G meets deep learning: a systematic review

GL Santos, PT Endo, D Sadok, J Kelner - Algorithms, 2020 - mdpi.com
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …

A study on the adoption of Wireless Communication in Big Data Analytics Using Neural Networks and Deep Learning

P Rohini, S Tripathi, CM Preeti… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The study explores about the Wireless communication which is one of the most rapidly
evolving and active technology fields in the communication world. Wireless communication …

Recent advances in artificial intelligence for wireless internet of things and cyber–physical systems: A comprehensive survey

BA Salau, A Rawal, DB Rawat - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Advances in artificial intelligence (AI) and wireless technology are driving forward the large
deployment of interconnected smart technologies that constitute cyber–physical systems …

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 …

Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective

TK Rodrigues, K Suto, H Nishiyama… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …

Artificial intelligence enabled radio propagation for communications—Part I: Channel characterization and antenna-channel optimization

C Huang, R He, B Ai, AF Molisch… - … on Antennas and …, 2022 - ieeexplore.ieee.org
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 …

Deep learning for intelligent wireless networks: A comprehensive survey

Q Mao, F Hu, Q Hao - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …

5G wireless networks meet big data challenges, trends, and applications

C Zhu, X Cheng, H Ye, J Yang, L Xu… - 2019 IEEE SmartWorld …, 2019 - ieeexplore.ieee.org
The next-generation (5G) wireless networks have been evolving into very complex systems
due to the diversified service requirements, heterogeneity in applications, devices, and …

The way to apply machine learning to IoT driven wireless network from channel perspective

W Li, J Zhang, X Ma, Y Zhang, H Huang… - China …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is one of the targeted application scenarios of fifth generation (5G)
wireless communication. IoT brings a large amount of data transported on the network …