AI and Machine Learning Approach
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