| 2 | -- | 0 | Mohsen Guizani. Editor's Note |
| 4 | -- | 5 | Xiaohua Tian. Scanning the Literature |
| 6 | -- | 7 | Yan Zhang, Pascal Lorenz. AI for Network Traffic Control |
| 8 | -- | 14 | Min Chen 0003, Yixue Hao, Kai Lin, Zhiyong Yuan, Long Hu. Label-less Learning for Traffic Control in an Edge Network |
| 15 | -- | 21 | Nikita Lyamin, Denis Kleyko, Quentin Delooz, Alexey V. Vinel. AI-Based Malicious Network Traffic Detection in VANETs |
| 22 | -- | 27 | Peng Li, Zhikui Chen, Laurence T. Yang, Jing Gao, Qingchen Zhang, M. Jamal Deen. An Improved Stacked Auto-Encoder for Network Traffic Flow Classification |
| 28 | -- | 34 | Yibo Zhou, Zubair Md. Fadlullah, Bomin Mao, Nei Kato. A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks |
| 35 | -- | 41 | Xiaohong Huang, Tingting Yuan, Guanhua Qiao, Yizhi Ren. Deep Reinforcement Learning for Multimedia Traffic Control in Software Defined Networking |
| 42 | -- | 49 | Imad Alawe, Adlen Ksentini, Yassine Hadjadj Aoul, Philippe Bertin. Improving Traffic Forecasting for 5G Core Network Scalability: A Machine Learning Approach |
| 50 | -- | 57 | Hao Zhu, Yang Cao 0002, Wei Wang, Tao Jiang 0002, Shi Jin. Deep Reinforcement Learning for Mobile Edge Caching: Review, New Features, and Open Issues |
| 58 | -- | 64 | Yu Fu, Sen Wang, Cheng-Xiang Wang 0001, Xuemin Hong, Steve McLaughlin 0001. Artificial Intelligence to Manage Network Traffic of 5G Wireless Networks |
| 66 | -- | 73 | Anish Jindal, Gagangeet Singh Aujla, Neeraj Kumar 0001, Rajat Chaudhary, Mohammad S. Obaidat, Ilsun You. SeDaTiVe: SDN-Enabled Deep Learning Architecture for Network Traffic Control in Vehicular Cyber-Physical Systems |
| 74 | -- | 82 | Feng Lyu, Nan Cheng, Hongzi Zhu, Haibo Zhou, Wenchao Xu, Minglu Li 0001, Xuemin Sherman Shen. Intelligent Context-Aware Communication Paradigm Design for IoVs Based on Data Analytics |
| 84 | -- | 91 | Jian Shen, Tianqi Zhou, Kun Wang 0005, Xin Peng, Li Pan. Artificial Intelligence Inspired Multi-Dimensional Traffic Control for Heterogeneous Networks |
| 92 | -- | 99 | Jun Xu, Kaishun Wu. Living with Artificial Intelligence: A Paradigm Shift toward Future Network Traffic Control |
| 100 | -- | 107 | Alejandro Canovas, José Miguel Jiménez, Óscar Romero 0002, Jaime Lloret. Multimedia Data Flow Traffic Classification Using Intelligent Models Based on Traffic Patterns |
| 108 | -- | 115 | Jie Feng, Xinlei Chen, Rundong Gao, Ming Zeng, Yong Li 0008. DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction |
| 116 | -- | 123 | Adlen Ksentini, Pantelis A. Frangoudis, Amogh PC, Navid Nikaein. Providing Low Latency Guarantees for Slicing-Ready 5G Systems via Two-Level MAC Scheduling |
| 124 | -- | 136 | Huhnkuk Lim, Alexander Ni, Dabin Kim, Young-Bae Ko, Susmit Shannigrahi, Christos Papadopoulos. NDN Construction for Big Science: Lessons Learned from Establishing a Testbed |
| 137 | -- | 143 | Ju Ren, Yun-Di Guo, Deyu Zhang, Qingqing Liu, Yaoxue Zhang. Distributed and Efficient Object Detection in Edge Computing: Challenges and Solutions |
| 144 | -- | 151 | Hao Ren, Hongwei Li, Yuanshun Dai, Kan Yang 0001, Xiaodong Lin. Querying in Internet of Things with Privacy Preserving: Challenges, Solutions and Opportunities |
| 152 | -- | 159 | Jiao Zhang, Zenan Wang, Ningning Ma, Tao Huang 0005, Yunjie Liu. Enabling Efficient Service Function Chaining by Integrating NFV and SDN: Architecture, Challenges and Opportunities |
| 160 | -- | 167 | Nan Cheng, Feng Lyu, Jiayin Chen, Wenchao Xu, Haibo Zhou, Shan Zhang, Xuemin Sherman Shen. Big Data Driven Vehicular Networks |
| 168 | -- | 176 | David Muelas, Javier Ramos 0002, Jorge E. López de Vergara. Assessing the Limits of Mininet-Based Environments for Network Experimentation |
| 177 | -- | 183 | Xu Chen 0004, Zhi Zhou, Weigang Wu, Di Wu, Junshan Zhang. Socially-Motivated Cooperative Mobile Edge Computing |
| 184 | -- | 192 | Feng Gao, Liehuang Zhu, Meng Shen, Kashif Sharif, Zhiguo Wan, Kui Ren. A Blockchain-Based Privacy-Preserving Payment Mechanism for Vehicle-to-Grid Networks |