AI models for green communications towards 6G

B Mao, F Tang, Y Kawamoto… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …

Learning-driven wireless communications, towards 6G

MJ Piran, DY Suh - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The fifth generation (5G) of wireless communication is in its infancy, and its evolving
versions will be launched over the coming years. However, according to exposing the …

Federated learning encounters 6g wireless communication in the scenario of internet of things

J Pei, S Li, Z Yu, L Ho, W Liu… - IEEE Communications …, 2023 - ieeexplore.ieee.org
The ultimate goal of Internet of Things (IoT) technology is to evolve into the Internet of
Everything. Two key elements of IoT are artificial intelligence (AI) for smart devices and the …

AI in 6G: Energy-efficient distributed machine learning for multilayer heterogeneous networks

MA Hossain, AR Hossain, N Ansari - IEEE Network, 2022 - ieeexplore.ieee.org
Adept network management is key for supporting extremely heterogeneous applications
with stringent quality of service (QoS) requirements; this is more so when envisioning the …

Machine intelligence techniques for next-generation context-aware wireless networks

TE Bogale, X Wang, LB Le - arXiv preprint arXiv:1801.04223, 2018 - arxiv.org
The next generation wireless networks (ie 5G and beyond), which would be extremely
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …

The roadmap to 6G: AI empowered wireless networks

KB Letaief, W Chen, Y Shi, J Zhang… - IEEE communications …, 2019 - ieeexplore.ieee.org
The recent upsurge of diversified mobile applications, especially those supported by AI, is
spurring heated discussions on the future evolution of wireless communications. While 5G is …

When deep reinforcement learning meets federated learning: Intelligent multitimescale resource management for multiaccess edge computing in 5G ultradense …

S Yu, X Chen, Z Zhou, X Gong… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Recently, smart cities, healthcare system, and smart vehicles have raised challenges on the
capability and connectivity of state-of-the-art Internet-of-Things (IoT) devices, especially for …

Networking systems of AI: On the convergence of computing and communications

L Song, X Hu, G Zhang, P Spachos… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) and 5G system have been two hot technical areas that are
changing the world. On the deep convergence of computing and communication, networking …

6G security challenges and potential solutions

P Porambage, G Gür, DPM Osorio… - 2021 Joint European …, 2021 - ieeexplore.ieee.org
Although the fifth generation wireless networks are yet to be fully investigated, the vision and
key elements of the 6th generation (6G) ecosystem have already come into discussion. In …

A comprehensive survey of 6G wireless communications

Y Zhao, W Zhai, J Zhao, T Zhang, S Sun… - arXiv preprint arXiv …, 2020 - arxiv.org
While fifth-generation (5G) communications are being rolled out worldwide, sixth-generation
(6G) communications have attracted much attention from both the industry and the …