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

Shahid, Adnan, Kliks, Adrian, Al-Tahmeesschi, Ahmed, Elbakary, Ahmed, Nikou, Alexandros, Maatouk, Ali, Mokh, Ali, Kazemi, Amirreza, De Domenico, Antonio, Karapantelakis, Athanasios, Cheng, Bo, Yang, Bo, Wang, Bohao, Fischione, Carlo, Zhang, Chao, Issaid, Chaouki Ben, Yuen, Chau, Peng, Chenghui, Huang, Chongwen, Chaccour, Christina, Thomas, Christo Kurisummoottil, Sharma, Dheeraj, Kalogiros, Dimitris, Niyato, Dusit, De Poorter, Eli, Mhanna, Elissa, Strinati, Emilio Calvanese, Bader, Faouzi, Abdeldayem, Fathi, Wang, Fei, Zhu, Fenghao, Fontanesi, Gianluca, Geraci, Giovanni, Zhou, Haibo, Purmehdi, Hakimeh, Ahmadi, Hamed, Zou, Hang, Du, Hongyang, Lee, Hoon, Yang, Howard H., Poli, Iacopo, Carron, Igor, Chatzistefanidis, Ilias, Lee, Inkyu, Pitsiorlas, Ioannis, Fontaine, Jaron, Wu, Jiajun, Zeng, Jie, Li, Jinan, Karam, Jinane, Gemayel, Johny, Deng, Juan, Frison, Julien, Huang, Kaibin, Qiu, Kehai, Ball, Keith, Wang, Kezhi, Guo, Kun, Tassiulas, Leandros, Gwenole, Lecorve, Yue, Liexiang, Bariah, Lina, Powell, Louis, Dryjanski, Marcin, Galdon, Maria Amparo Canaveras, Kountouris, Marios, Hafeez, Maryam, Elkael, Maxime, Bennis, Mehdi, Boudjelli, Mehdi, Dai, Meiling, Debbah, Merouane, Polese, Michele, Assaad, Mohamad, Benzaghta, Mohamed, Refai, Mohammad Al, Djerrab, Moussab, Syed, Mubeen, Amir, Muhammad, Yan, Na, Alkaabi, Najla, Li, Nan, Sehad, Nassim, Nikaein, Navid, Hashash, Omar, Sroka, Pawel, Yang, Qianqian, Zhao, Qiyang, Silab, Rasoul Nikbakht, Ying, Rex, Morabito, Roberto, Li, Rongpeng, Madi, Ryad, Ayoubi, Salah Eddine El, D'Oro, Salvatore, Lasaulce, Samson, Shalmashi, Serveh, Liu, Sige, Cherrared, Sihem, Chetty, Swarna Bindu, Dutta, Swastika, Zaidi, Syed A. R., Chen, Tianjiao, Murphy, Timothy, Melodia, Tommaso, Quek, Tony Q. S., Ram, Vishnu, Saad, Walid, Hamidouche, Wassim, Chen, Weilong, Liu, Xiaoou, Yu, Xiaoxue, Wang, Xijun, Shang, Xingyu, Wang, Xinquan, Cao, Xuelin, Su, Yang, Liang, Yanping, Deng, Yansha, Yang, Yifan, Cui, Yingping, Sun, Yu, Chen, Yuxuan, Pointurier, Yvan, Nehme, Zeinab, Nezami, Zeinab, Yang, Zhaohui, Zhang, Zhaoyang, Liu, Zhe, Yang, Zhenyu, Han, Zhu, Zhou, Zhuang, Chen, Zihan, Chen, Zirui, Shuai, Zitao

arXiv.org Artificial Intelligence 

The rise of generative artificial intelligence (AI) as a novel frontier that uniquely merges advanced levels of intelligence with revolutionary user experiences is redefining the AI landscape for future cellular networks. In particular, the transition towards 6G systems has introduced a myriad of challenges inherent to their AI-native network design, requiring innovative solutions to enable real-time network orchestration, intelligent decision-making, and adaptive dynamic configurations. Meanwhile, the envisioned user experiences for 6G are growing increasingly complex, exceeding the capabilities offered by vintage wireless technologies and conventional AI solutions to satisfy their advanced demands. With its disruptive impact evident across diverse fields, generative AI possesses immense potential to tackle these challenges, leveraging its exceptional capabilities to manage complex tasks, operate autonomously, and adapt seamlessly to scenarios beyond its training domain. Remarkably, generative AI provides a transformative opportunity for telecom and cellular networks to bridge this defined gap in 6G systems, thereby shifting towards a new era with cutting-edge AI innovations across the different system and user levels.

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