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WRC-23

Issue 4 - AI and machine learning solutions in 5G and future networks

Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks
Status: Concluded
 Issue 4 (Full)
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks

Simulation of machine learning-based 6G systems in virtual worlds
Ailton Oliveira, Felipe Bastos, Isabela Trindade, Walter Frazao, Arthur Nascimento, Diego Gomes, Francisco Müller, Aldebaro Klautau
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 113-123

Analysis on route information failure in IP core networks by NFV-based test environment
Xia Fei, Aerman Tuerxun, Jiaxing Lu, Ping Du, Akihiro Nakao
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 101-112

Applying machine learning in network topology optimization
Zhouwei Gang, Qianyin Rao, Lin Guo, Lin Xi, Zezhong Feng, Qian Deng
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 91-99

AI-based network topology optimization system
Han Zengfu, Kong Jiankun, Wang Zhiguo, Zhang Yiwei, Liu Ke, Pan Liang, Li Sicong, Wu Desheng
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 81-90

Machine learning for performance prediction of channel bonding in next-generation IEEE 802.11 WLANS
Francesc Wilhelmi, David Góez, Paola Soto, Ramon Vallés, Mohammad Alfaifi, Abdulrahman Algunayah, Jorge Martín-Pérez, Luigi Girletti, Rajasekar Mohan, K Venkat Ramnan, Boris Bellalta
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 67-79

NetXplain: Real-time explainability of graph neural networks applied to networking
David Pujol-Perich, José Suárez-Varela, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 57-66

A dynamic Q-learning beamforming method for inter-cell interference mitigation in 5G massive MIMO networks
Aidong Yang, Xinlang Yue, Mohan Wu, Ye Ouyang
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 47-55

Enhanced shared experiences in heterogeneous network with generative AI
Neeraj Kumar, Ankur Narang, Brejesh Lall, Nitish Kumar Singh
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 27-46

Site-specific millimeter-wave compressive channel estimation algorithms with hybrid MIMO architectures
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
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 9-26

Graph-neural-network-based delay estimation for communication networks with heterogeneous scheduling policies
Martin Happ, Matthias Herlich, Christian Maier, Jia Lei Du, Peter Dorfinger
Volume 2 (2021), Issue 4 - AI and machine learning solutions in 5G and future networks, Pages 1-8