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

Fuente: arXiv

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Hauptverfasser:	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
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Networking and Internet Architecture Artificial Intelligence Computation and Language
Online-Zugang:	Acceder al recurso
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_version_	1866909527441408000
author	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
author_facet	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
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2503_04184
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	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 Networking and Internet Architecture Artificial Intelligence Computation and Language 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.
title	Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
topic	Networking and Internet Architecture Artificial Intelligence Computation and Language
url	https://arxiv.org/abs/2503.04184