A federated reinforcement learning framework for incumbent technologies in beyond 5G networks

R Ali, YB Zikria, S Garg, AK Bashir, MS Obaidat… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

A review towards AI empowered 6G communication requirements, applications, and technologies in mobile edge computing

A Bandi - 2022 6th International Conference on Computing …, 2022 - ieeexplore.ieee.org
As we go beyond 5G and towards 6G wireless networks, artificial intelligence and machine
learning solutions will be critical for various applications that execute at the edge nodes …

Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Artificial intelligence for 5g wireless systems: Opportunities, challenges, and future research direction

Y Arjoune, S Faruque - 2020 10th annual computing and …, 2020 - ieeexplore.ieee.org
The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …

Wireless Federated Learning (WFL) for 6G Networks⁴Part I: Research Challenges and Future Trends

PS Bouzinis, PD Diamantoulakis… - IEEE …, 2021 - ieeexplore.ieee.org
Conventional machine learning techniques are conducted in a centralized manner.
Recently, the massive volume of generated wireless data, the privacy concerns and the …

Enabling 5G mobile wireless technologies

LB Le, V Lau, E Jorswieck, ND Dao… - EURASIP Journal on …, 2015 - Springer
Research on 5G mobile wireless technologies has been very active in both academia and
industry in the past few years. While there has been certain consensus on the overall …

[HTML][HTML] A survey: Distributed Machine Learning for 5G and beyond

O Nassef, W Sun, H Purmehdi, M Tatipamula… - Computer Networks, 2022 - Elsevier
Abstract 5 G is the fifth generation of cellular networks. It enables billions of connected
devices to gather and share information in real time; a key facilitator in Industrial Internet of …

Machine learning paradigms for next-generation wireless networks

C Jiang, H Zhang, Y Ren, Z Han… - IEEE Wireless …, 2016 - ieeexplore.ieee.org
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …

Federated learning for wireless communications: Motivation, opportunities, and challenges

S Niknam, HS Dhillon, JH Reed - IEEE Communications …, 2020 - ieeexplore.ieee.org
There is a growing interest in the wireless communications community to complement the
traditional model-driven design approaches with data-driven machine learning (ML)-based …

Intelligent 5G: When cellular networks meet artificial intelligence

R Li, Z Zhao, X Zhou, G Ding, Y Chen… - IEEE Wireless …, 2017 - ieeexplore.ieee.org
5G cellular networks are assumed to be the key enabler and infrastructure provider in the
ICT industry, by offering a variety of services with diverse requirements. The standardization …