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 …

[HTML][HTML] A survey of deep learning based NOMA: State of the art, key aspects, open challenges and future trends

SAH Mohsan, Y Li, AV Shvetsov, J Varela-Aldás… - Sensors, 2023 - mdpi.com
Non-Orthogonal Multiple Access (NOMA) has become a promising evolution with the
emergence of fifth-generation (5G) and Beyond-5G (B5G) rollouts. The potentials of NOMA …

Cooperative hybrid nonorthogonal multiple access-based mobile-edge computing in cognitive radio networks

D Wang, F Zhou, W Lin, Z Ding… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In order to efficiently compute the primary data and support the secondary quality-of-service
(QoS) requirement, we propose a cooperative hybrid non-orthogonal multiple access …

Applications of explainable AI for 6G: Technical aspects, use cases, and research challenges

S Wang, MA Qureshi, L Miralles-Pechuan… - arXiv preprint arXiv …, 2021 - arxiv.org
When 5G began its commercialisation journey around 2020, the discussion on the vision of
6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability …

UAV-assisted multi-access computation offloading via hybrid NOMA and FDMA in marine networks

M Dai, Y Wu, L Qian, Z Su, B Lin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid development of marine networks, there have been growing demands for
computation-intensive and delay-sensitive marine applications and services. However, the …

[HTML][HTML] Artificial intelligence applications and self-learning 6G networks for smart cities digital ecosystems: Taxonomy, challenges, and future directions

L Ismail, R Buyya - Sensors, 2022 - mdpi.com
The recent upsurge of smart cities' applications and their building blocks in terms of the
Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data …

6G 移动网络关键技术

张海君, 陈安琪, 李亚博, 隆克平 - 通信学报, 2022 - infocomm-journal.com
首先, 简要介绍了移动通信网络发展历程及社会需求. 其次, 从通信的频谱, 维度,
赋能以及范式角度出发, 介绍了6G 网络中太赫兹通信, 空天地海一体化网络 …

Joint UAV placement optimization, resource allocation, and computation offloading for THz band: A DRL approach

H Wang, H Zhang, X Liu, K Long… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of internet of things, latency-sensitive applications such as
telemedicine are constantly emerging. Unfortunately, due to the limited computation capacity …

ML-based radio resource management in 5G and beyond networks: A survey

IA Bartsiokas, PK Gkonis, DI Kaklamani… - IEEE Access, 2022 - ieeexplore.ieee.org
In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …

A review of machine learning techniques for enhanced energy efficient 5G and 6G communications

TP Fowdur, B Doorgakant - Engineering Applications of Artificial …, 2023 - Elsevier
Cellular technologies have evolved continuously from the 1st to the 5th generation (5G) to
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …