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AI and Machine Learning Approach - VTC 2019 Fall

AI and Machine Learning Approach

September 23, 2019
11:00 AM  -  12:30 PM
Kaimuki 3

Chair:

Traffic Forecast in Mobile Networks: Classification System using Machine Learning

Diogo Clemente, ISCTE-IUL / Instituto de Telecomunicações; Lúcio Studer Ferreira, Multivision, INESC-ID/Universidade Lusíada, ISTEC; Gabriela Soares, Multivision – Consultoria; Pedro Sebastiao, Daniel Fernandes, Rodrigo Cortesão, ISCTE-IUL / Instituto de Telecomunicações

Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks architecture and DB search algorithm for high density wireless access systems

Kota Nakashima, Shotaro Kamiya, Kazuki Ohtsu, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Kyoto University

Distributed Caching Popular Services by Using Deep Q-Learning in Converged Networks

Yuzhe Fang, Jian Xiong, Shanghai Jiao Tong University; Peng Cheng, University of Sydney; Wei Zhang, Shanghai Jiao Tong University

Cognitive Radio Network Throughput Maximization with Deep Reinforcement Learning

Kevin Ong Shen Hoong, Nayang Technological University; Zhang Yang, Nayang Technological University Singapore; Dusit Niyato, Nanyang Technological University

AI-Enhanced Incentive Design for Crowdsourcing in Internet of Vehicles

Yanlin Yue, Xidian University; Wen Sun, Jiajia Liu, Northwestern Polytechnical University; Yuanhe Jiang, Xidian University

Session Category :  Session