Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

作者：Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi, Ahmed Elbakary, Alexandros Nikou, Ali Maatouk, A. Mokh, Amirreza Kazemi, Antonio De Domenico, Athanasios Karapantelakis, Bo Cheng, Bo Yang, Bohao Wang, Carlo Fischione, Chao Zhang, Chaouki Ben Issaid, Chau Yuen, Chen-Shuo Peng, Chong-Wen Huang, C. Chaccour, C. K. Thomas, Dheeraj Sharma, Dimitris Kalogiros, D. Niyato, Eli De Poorter, Elissa Mhanna, E. Strinati, Faouzi Bader, Fathi Abdeldayem, Fei Wang, Feng-zheng Zhu, G. Fontanesi, Giovanni Geraci, Hai-Bo Zhou, Hakimeh Purmehdi, Hamed Ahmadi, Han Zou, Hongyang Du, Hoon Lee, H. Yang, Iacopo Poli, I. Carron, Ilias Chatzistefanidis, Inkyu Lee, I. Pitsiorlas, Jaron Fontaine, Jiajun Wu, Jie Zeng, Ji-Nan Li, J. Karam, Johny Gemayel, Juan Deng, Julien Frison, Kaibin Huang, Kehai Qiu, K. Ball, Ke-Zhi Wang, Kun Guo, Leandros Tassiulas, Lecorve Gwenole, Liexiang Yue, Lina Bariah, L. Powell, Marcin Dryjański, Maria Amparo Canaveras Galdon, Marios Kountouris, Maryam Hafeez, M. Elkael, Mehdi Bennis, M. Boudjelli, M. Dai, Mérouane Debbah, Michele Polese, Mohamad Assaad, Mohamed Benzaghta, Mohammad Al Refai, Moussab Djerrab, M. Syed, Muhammad Amir, Na Yan, N. Alkaabi, Nan Li, Nassim Sehad, Navid Nikaein, Omar Hashash, Paweł Sroka, Qianqian Yang, Qiyang Zhao, Rasoul Nikbakht Silab, Rex Ying, Roberto Morabito, Rongpeng Li, Ryad Madi, Salah Eddine El Ayoubi, Salvatore D’Oro, S. Lasaulce, Serveh Shalmashi, Si-Ge Liu, Sihem Cherrared, S. Chetty, Swastika Dutta, S. A. R. Zaidi, Tianjiao Chen, Timothy Murphy, T. Melodia, Tony Q. S. Quek, Vishnu Ram, Walid Saad, W. Hamidouche, Weilong Chen, Xiaoou Liu, Xiaoxue Yu, Xi-Jun Wang, Xingyu Shang, Xinquan Wang, Xue Cao, Yang Su, Yanping Liang, Yan-Sha Deng, Yifan Yang, Ying Cui, Yu Sun, Yuxuan Chen, Y. Pointurier, Z. Nehme, Zeinab Nezami, Zhaohui Yang, Zhao-Yang Zhang, Zhe Liu, Zhenyu Yang, Zhu Han, Zhuangyao Zhou, Zihan Chen, Zi-Rui Chen, Zitao Shuai · 发表于：arXiv.org · 年份：2025 · DOI：10.48550/arxiv.2503.04184 · 被引用次数：44 · 研究领域：Computer Science

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions and user experiences, especially in the context of 6G systems. It highlights the development and deployment of Large Telecom Models (LTMs), which are tailored AI models designed to address the complex challenges faced by modern telecom networks. The paper covers a wide range of topics, from the architecture and deployment strategies of LTMs to their applications in network management, resource allocation, and optimization. It also explores the regulatory, ethical, and standardization considerations for LTMs, offering insights into their future integration into telecom infrastructure. The goal is to provide a comprehensive roadmap for the adoption of LTMs to enhance scalability, performance, and user-centric innovation in telecom networks.