| 4 | -- | 5 | Chonggang Wang. Yingying (Jennifer) Chen |
| 6 | -- | 9 | Jorge M. Pereira. 5G for Connected and Automated Mobility (CAM) in Europe: Targeting Cross-Border Corridors |
| 10 | -- | 11 | Xiaohua Tian. Scanning the Literature |
| 12 | -- | 13 | M. Shamim Hossain, Nadra Guizani, Ammar Rayes, Victor C. M. Leung, Honggang Wang 0001, Cheng-Xiang Wang 0001. Guest Editorial: AI-Enabled Networking Technologies for Tackling Epidemic Diseases |
| 14 | -- | 20 | Rui Wang, Jinfeng Xu, Yujun Ma, Muhammad Talha, Mabrook S. Al-Rakhami, Ahmed Ghoneim. Auxiliary Diagnosis of COVID-19 Based on 5G-Enabled Federated Learning |
| 21 | -- | 26 | Ghulam Muhammad, Salman AlQahtani, Abdullah Alelaiwi. Pandemic Management for Diseases Similar to COVID-19 Using Deep Learning and 5G Communications |
| 27 | -- | 33 | Peiying Zhang, Chao Wang, Neeraj Kumar 0001, Chunxiao Jiang, Qinghua Lu 0001, Kim-Kwang Raymond Choo, Joel J. P. C. Rodrigues. Artificial Intelligence Technologies for COVID-19-Like Epidemics: Methods and Challenges |
| 34 | -- | 41 | Safa Otoum, Ismaeel Al Ridhawi, Hussein T. Mouftah. Preventing and Controlling Epidemics Through Blockchain-Assisted AI-Enabled Networks |
| 42 | -- | 47 | Pallav Kumar Deb, Anandarup Mukherjee, Sudip Misra. CovChain: Blockchain-Enabled Identity Preservation and Anti-Infodemics for COVID-19 |
| 48 | -- | 55 | Md. Rafiul Hassan, Mohammad Mehedi Hassan, Meteb Altaf, Mostafa Shamin Yeasar, M. Imtiaz Hossain, Kanis Fatema, Rubya Shaharin, Adel F. Ahmed. B5G-Enabled Distributed Artificial Intelligence on Edges for COVID-19 Pandemic Outbreak Prediction |
| 56 | -- | 63 | Wei Zhang, Jie Li 0043, Yonggang Wen 0001, Yong Luo 0002. Toward a Wearable Crowdsource System to Monitor Respiratory Symptoms for Pandemic Early Warning |
| 64 | -- | 71 | Fei Song 0001, Letian Li, Ilsun You, Hongke Zhang. Enabling Heterogeneous Deterministic Networks with Smart Collaborative Theory |
| 72 | -- | 73 | Jun Huang 0002, Jalel Ben-Othman, Shiqiang Wang 0001, Ricky Yu-Kwong Kwok, Victor C. M. Leung, Wei Sun. Guest Editorial: AI-Empowered Mobile Edge Computing in the Internet of Vehicles |
| 74 | -- | 80 | Bouziane Brik, Adlen Ksentini. Toward Optimal MEC Resource Dimensioning for a Vehicle Collision Avoidance System: A Deep Learning Approach |
| 81 | -- | 87 | Yanru Zhang, Feng Hong, Yan Wang, Zhi Liu, Yingjie Zhou, Zheng Chang, George Chen. Edge Intelligence for Plug-in Electrical Vehicle Charging Service |
| 88 | -- | 94 | Dimitrios Michael Manias, Abdallah Shami. Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems |
| 96 | -- | 101 | Qing Yang 0008, Song Fu, Honggang Wang 0001, Hua Fang. Machine-Learning-Enabled Cooperative Perception for Connected Autonomous Vehicles: Challenges and Opportunities |
| 102 | -- | 108 | Laisen Nie, Xiaojie Wang, Wentao Sun, Yongkang Li, Shengtao Li, Peng Zhang. Imitation-Learning-Enabled Vehicular Edge Computing: Toward Online Task Scheduling |
| 109 | -- | 115 | Muhammad Awais Javed, Sherali Zeadally. AI-Empowered Content Caching in Vehicular Edge Computing: Opportunities and Challenges |
| 116 | -- | 124 | Xiuhua Li, Luxi Cheng, Chuan Sun, Kwok-Yan Lam, Xiaofei Wang, Feng Li. Federated-Learning-Empowered Collaborative Data Sharing for Vehicular Edge Networks |
| 125 | -- | 131 | Shafkat Islam, Shahriar Badsha, Shamik Sengupta, Hung M. La, Ibrahim Khalil, Mohammed Atiquzzaman. Blockchain-Enabled Intelligent Vehicular Edge Computing |
| 132 | -- | 138 | Zoubeir Mlika, Soumaya Cherkaoui. Network Slicing with MEC and Deep Reinforcement Learning for the Internet of Vehicles |
| 140 | -- | 146 | Mohamed Labana, Walaa Hamouda. Advances in CRAN Performance Optimization |
| 147 | -- | 153 | Lionel Nkenyereye, JaeYoung Hwang, Quoc-Viet Pham, JaeSeung Song. MEIX: Evolving Multi-Access Edge Computing for Industrial Internet-of-Things Services |
| 154 | -- | 160 | Francesco Paolucci, Filippo Cugini, Piero Castoldi, Tomasz Osinski. Enhancing 5G SDN/NFV Edge with P4 Data Plane Programmability |
| 161 | -- | 167 | Rui Wang, Min Chen 0003, Nadra Guizani, Yong Li 0008, Hamid Gharavi, Kai Hwang 0001. DeepNetQoE: Self-Adaptive QoE Optimization Framework of Deep Networks |
| 168 | -- | 175 | Nada Abdel Khalek, Walaa Hamouda. From Cognitive to Intelligent Secondary Cooperative Networks for the Future Internet: Design, Advances, and Challenges |
| 176 | -- | 183 | Angelo Vera Rivera, Ahmed Refaey, Ekram Hossain. A Blockchain Framework for Secure Task Sharing in Multi-Access Edge Computing |
| 184 | -- | 190 | Gorla Praveen, Vinay Chamola, Vikas Hassija, Dusit Niyato. Network Slicing for 5G with UE State Based Allocation and Blockchain Approach |
| 191 | -- | 197 | Bechir Hamdaoui, Abdurrahman Elmaghbub, Siefeddine Mejri. Deep Neural Network Feature Designs for RF Data-Driven Wireless Device Classification |
| 198 | -- | 204 | Hala Shamseddine, Jana Nizam, Ahmad Hammoud, Azzam Mourad, Hadi Otrok, Haidar Harmanani, Zbigniew Dziong. A Novel Federated Fog Architecture Embedding Intelligent Formation |
| 205 | -- | 211 | Deemah H. Tashman, Walaa Hamouda. An Overview and Future Directions on Physical-Layer Security for Cognitive Radio Networks |
| 212 | -- | 222 | Chafika Benzaïd, Tarik Taleb, Muhammad Zubair Farooqi. Trust in 5G and Beyond Networks |
| 223 | -- | 229 | Muhammad Adnan Khan, Sagheer Abbas, Abdur Rehman, Yousaf Saeed, Asim Zeb, M. Irfan Uddin, Nidal Nasser, Asmaa Ali. A Machine Learning Approach for Blockchain-Based Smart Home Networks Security |
| 230 | -- | 237 | Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Chengjian Liu, Wei Wang 0030, Bo Li 0001. A Quantitative Survey of Communication Optimizations in Distributed Deep Learning |
| 238 | -- | 245 | Xing Wu 0001, Jianjia Wang, Peng Li, Xiliang Luo, Yang Yang. Internet of Things as Complex Networks |
| 246 | -- | 251 | Manal El Tanab, Walaa Hamouda. An Overview of Uplink Access Techniques in Machine-Type Communications |
| 252 | -- | 258 | Menatalla Abououf, Hadi Otrok, Rabeb Mizouni, Shakti Singh, Ernesto Damiani. How Artificial Intelligence and Mobile Crowd Sourcing are Inextricably Intertwined |