Page 9 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4

TABLE OF CONTENTS

Page

Challenge Organizers’ Editorial .......................................................................................................... iii

Editorial Board ................................................................................................................................... vi
List of Abstracts .................................................................................................................................. ix

Selected Papers

1. Graph-neural-network-based delay estimation for communication networks with
heterogeneous scheduling policies ......................................................................................... 1
Martin Happ, Matthias Herlich, Christian Maier, Jia Lei Du, Peter Dorfinger

2. Site-specific millimeter-wave compressive channel estimation algorithms with hybrid
MIMO architectures ............................................................................................................... 9
Sai Subramanyam Thoota, Dolores Garcia Marti, Özlem Tugfe Demir, Rakesh
Mundlamuri, Joan Palacios, Cenk M. Yetis, Christo Kurisummoottil Thomas,
Sameera H. Bharadwaja, Emil Björnson, Pontus Giselsson, Marios Kountouris,
Chandra R. Murthy, Nuria González-Prelcic, Joerg Widmer
3. Enhanced shared experiences in heterogeneous network with generative AI ......................... 27
Neeraj Kumar, Ankur Narang, Brejesh Lall, Nitish Kumar Singh
4. A dynamic Q-learning beamforming method for inter-cell interference mitigation in
5G massive MIMO networks ................................................................................................. 47
Aidong Yang, Xinlang Yue, Mohan Wu, Ye Ouyang
5. NetXplain: Real-time explainability of graph neural networks applied to networking ........... 57
David Pujol-Perich, José Suárez-Varela, Shihan Xiao, Bo Wu, Albert Cabellos-
Aparicio, Pere Barlet-Ros
6. Machine learning for performance prediction of channel bonding in next-generation
IEEE 802.11 WLANS ............................................................................................................ 67
Francesc Wilhelmi, David Góez, Paola Soto, Ramon Vallés, Mohammad Alfaifi,
Abdulrahman Algunayah, Jorge Martín-Pérez, Luigi Girletti, Rajasekar Mohan,
K Venkat Ramnan, Boris Bellalta
7. AI-based network topology optimization system ................................................................... 81
Han Zengfu, Kong Jiankun, Wang Zhiguo, Zhang Yiwei, Liu Ke, Pan Liang,
Li Sicong, Wu Desheng
8. Applying machine learning in network topology optimization .............................................. 91
Zhouwei Gang, Qianyin Rao, Lin Guo, Lin Xi, Zezhong Feng, Qian Deng
9. Analysis on route information failure in IP core networks by NFV-based test
environment ................................................................................................................ ........ 101
Xia Fei, Aerman Tuerxun, Jiaxing Lu, Ping Du, Akihiro Nakao

10. Simulation of machine learning-based 6G systems in virtual worlds ......................... ......... 113
Ailton Oliveira, Felipe Bastos, Isabela Trindade, Walter Frazão, Arthur Nascimento,
Diego Gomes, Francisco Müller, Aldebaro Klautau

Index of Authors ...................................................................................................................... ......... 125

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