Yue Wang

According to our database, Yue Wang authored at least 17 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

AppShot: A Conditional Deep Generative Model for Synthesizing Service-Level Mobile Traffic Snapshots at City Scale.

Chuanhao Sun, Kai Xu, Marco Fiore, Mahesh K. Marina, Yue Wang, Cezary Ziemlicki

IEEE Trans. Netw. Serv. Manag., December, 2022

Guest Editorial: Network Applications Software for Vertical IoT Industry.

Bessem Sayadi, Chia-Yu Chang, Christos Tranoris, Qi Wang, Abhimanyu Gosain, Akihiro Nakao, Yue Wang

IEEE Internet Things Mag., 2022

CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots.

Kai Xu, Rajkarn Singh, Hakan Bilen, Marco Fiore, Mahesh K. Marina, Yue Wang

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2022

2021

Machine learning based signal strength and uncertainty prediction for MEC mobility management.

Shangbin Wu, Junwei Ren, Tiezhu Zhao, Yue Wang

Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Energy-Efficient Orchestration of Metro-Scale 5G Radio Access Networks.

Rajkarn Singh, Cengis Hasan, Xenofon Foukas, Marco Fiore, Mahesh K. Marina, Yue Wang

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Deep Reinforcement Learning for cell on/off energy saving on Wireless Networks.

Joan S. Pujol-Roigl, Shangbin Wu, Yue Wang, Minsuk Choi, Intaik Park

Proceedings of the IEEE Global Communications Conference, 2021

Cell On/Off Parameter Optimization for Saving Energy via Reinforcement Learning.

Minsuk Choi, Kyungrae Kim, Hongjun Jang, Hyokyung Woo, Joan S. Pujol Roig, Yue Wang, Hunje Yeon, Sunghyun Choi, Seowoo Jang

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

Deep Convolutional Neural Network Assisted Reinforcement Learning Based Mobile Network Power Saving.

Shangbin Wu, Yue Wang, Lu Bai

IEEE Access, 2020

Deep Learning-Based Autoencoder for m-User Wireless Interference Channel Physical Layer Design.

Dehao Wu, Maziar M. Nekovee, Yue Wang

IEEE Access, 2020

AI-Driven Closed-Loop Service Assurance with Service Exposures.

Min Xie, Joan S. Pujol Roig, Foivos Michelinakis, Thomas Dreibholz, Carmen Guerrero, Adrián Gallego Sánchez, Wint Yi Poe, Yue Wang, Ahmed Mustafa Elmokashfi

Proceedings of the 2020 European Conference on Networks and Communications, 2020

2019

Deep Learning Based Autoencoder for Interference Channel.

Dehao Wu, Maziar M. Nekovee, Yue Wang

CoRR, 2019

Probabilistic Preamble Selection with Reinforcement Learning for Massive Machine Type Communication (MTC) Devices.

Galini Tsoukaneri, Shangbin Wu, Yue Wang

Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

An Adaptive Deep Learning Algorithm Based Autoencoder for Interference Channels.

Dehao Wu, Maziar M. Nekovee, Yue Wang

Proceedings of the Machine Learning for Networking, 2019

2017

Self-Organized Beam Scheduling as an Enabler for Coexistence in 5G Unlicensed Bands.

Maziar M. Nekovee, Yinan Qi, Yue Wang

IEICE Trans. Commun., 2017

2016

Overview of 5G modulation and waveforms candidates.

Maziar M. Nekovee, Yue Wang, Milos Tesanovic, Shangbin Wu, Yinan Qi, Mohammed Al-Imari

J. Commun. Inf. Networks, 2016

Distributed beam scheduling for multi-RAT coexistence in mm-wave 5G networks.

Maziar M. Nekovee, Yinan Qi, Yue Wang

Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

Frequency and quadrature amplitude modulation for 5G networks.

Shangbin Wu, Yue Wang, Mohammed Al-Imari, Maziar M. Nekovee

Proceedings of the European Conference on Networks and Communications, 2016