Five facets of 6G: Research challenges and opportunities

LH Shen, KT Feng, L Hanzo - ACM Computing Surveys, 2023 - dl.acm.org
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …

Edge intelligence for mission-critical 6G services in space-air-ground integrated networks

X Hou, J Wang, Z Fang, Y Ren, KC Chen… - IEEE Network, 2022 - ieeexplore.ieee.org
Next-generation wireless services will change our daily lives by supporting smart factories,
intelligent transportation, augmented/virtual reality, and more. These sophisticated services …

Nine challenges in artificial intelligence and wireless communications for 6G

W Tong, GY Li - IEEE Wireless Communications, 2022 - ieeexplore.ieee.org
In recent years, artificial intelligence (AI) techniques, especially machine learning (ML), have
been successfully applied in various areas, leading to a widespread belief that AI will …

Federated machine learning for intelligent IoT via reconfigurable intelligent surface

K Yang, Y Shi, Y Zhou, Z Yang, L Fu, W Chen - IEEE network, 2020 - ieeexplore.ieee.org
Intelligent Internet of Things (IoT) will be transformative with the advancement of artificial
intelligence and high-dimensional data analysis, shifting from" connected things" to" …

At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives

A Bourechak, O Zedadra, MN Kouahla, A Guerrieri… - Sensors, 2023 - mdpi.com
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

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 …

Big AI models for 6G wireless networks: Opportunities, challenges, and research directions

Z Chen, Z Zhang, Z Yang - arXiv preprint arXiv:2308.06250, 2023 - arxiv.org
Recently, big artificial intelligence (AI) models represented by chatGPT have brought an
incredible revolution. With the pre-trained big AI model (BAIM) in certain fields, numerous …

Edge intelligence: Paving the last mile of artificial intelligence with edge computing

Z Zhou, X Chen, E Li, L Zeng, K Luo… - Proceedings of the …, 2019 - ieeexplore.ieee.org
With the breakthroughs in deep learning, the recent years have witnessed a booming of
artificial intelligence (AI) applications and services, spanning from personal assistant to …

Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks

Y Wu, Y Ma, HN Dai, H Wang - Computer Networks, 2021 - Elsevier
Abstract 5G heterogeneous networks have become a promising platform to connect a
growing number of Internet-of-Things (IoT) devices and accommodate a wide variety of …

Ten challenges in advancing machine learning technologies toward 6G

N Kato, B Mao, F Tang, Y Kawamoto… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
As the 5G standard is being completed, academia and industry have begun to consider a
more developed cellular communication technique, 6G, which is expected to achieve high …