Zhang, Zhaoyang;
Debbah, Mérouane;
Eldar, Yonina C;
Hoang, Dinh Thai;
Tong, Wen;
Wong, Kai-Kit;
(2024)
Guest Editorial: Sustainable Big AI Model for Wireless Networks.
IEEE Wireless Communications
, 31
(3)
pp. 18-19.
10.1109/MWC.2024.10558824.
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Abstract
Machine learning is a promising approach to explore the vast amount of wireless data with artificial intelligence (AI) to accomplish a wide variety of large-scale, computation or communication-oriented tasks in next-generation wireless networks, from intelligent computing to environment sensing and intelligent communication. Traditional approaches rely on each individual task having a specific AI model, which results in high hardware (HW)/software (SW) overheads and prevents the deep exploration of the inherent correlation within data and among tasks. The rapidly emerging big AI model or foundation model (FM) has received a lot of attention recently, which aims at building a unified machine learning system based on a generic class of AI models capable of accomplishing multiple natively interrelated tasks.
| Type: | Article |
|---|---|
| Title: | Guest Editorial: Sustainable Big AI Model for Wireless Networks |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/MWC.2024.10558824 |
| Publisher version: | http://dx.doi.org/10.1109/mwc.2024.10558824 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Special issues and sections; Machine learning; Wireless networks; Artificial intelligence; Next generation networking; Intelligent systems |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10194126 |
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