Publications are listed in reverse chronological order. Click on the name of the publication to view the full paper. These papers are made available for personal use only, subject to the author's and publisher's copyright.
2023
Journals
L. U. Khan, M. Guizani, I. Yaqoob, A. Al-Fuqaha, A. Erbad, Z. Han, Network Virtualization Empowered Metaverse: A Hierarchical Matching Approach, ARIXV, 2023
L. U. Khan, M. Guizani, A. Al-Fuqaha, C. S. Hong, D. Niyato, Z. Han, A Joint Communication and Learning Framework for Hierarchical Split Federated Learning, IEEE Internet of Things Journal, 2023
W. Wang, Y. Yang, L. U. Khan, D. Niyato, Z. Han, M. Guizani, Digital Twin for Wireless Networks: Security Attacks and Solutions, IEEE Wireless Communications (In-Press), 2023.
L. U. Khan, M. Guizani, D. Niyato, A. Al-Fuqaha, M. Debbah, Metaverse for Wireless Systems: Architecture, Advances, Standardization, and Open Challenges. arXiv preprint arXiv:2301.11441, 2023
L. U. Khan, E. Mustafa, J. Shuja, F. Rehman, K. Bilal, Z. Han, C. S. Hong, Federated learning for digital twin-based vehicular networks: Architecture and challenges. IEEE Wireless Communications, 2023
U. Majeed, L. U. Khan, S. S. Hassan, Z. Han, C. S. Hong, FL-Incentivizer: FL-NFT and FL-Tokens for Federated Learning Model Trading and Training. IEEE Access, 11, 4381-4399
L. U. Khan, I. Yaqoob, K. Salah, C. S. Hong, D. Niyato, Z. Han, M. Guizani, Machine learning for metaverse-enabled wireless systems: vision, requirements, and challenges. arXiv preprint arXiv:2211.03703, 2023.
Conferences
L. U. Khan, M. Guizani, C. S. Hong, Resource Optimized Hierarchical Split Federated Learning for Wireless Networks, In Proceedings of Cyber-Physical Systems and Internet of Things Week, pp. 254-259, 2023
L. U. Khan, M. Guizani, Joint Association and Computing Resource Optimization for Distributed Wireless Metaverse, IEEE CIST, 2023.
I. Yaqoob, K. Salah, L. U. Khan, et al, Digital Twins for Smart Cities: Benefits, Enabling Technologies, Applications, and Challenges, IEEE FNWF, 2023
L. U. Khan, M. Guizani, Socially-Aware Green Distributed Metaverse for Wireless Systems, IEEE WINCOM, 2023.
L. U. Khan, M. Guizani, A Sampling and Communication Framework for Synchronization in Metaverse, Unet, 2023.
2022
Journals
M. Alazab, L. U. Khan, et al., Digital twins for healthcare 4.0-recent advances, architecture, and open challenges, IEEE Consumer Electronics Magazine, 2022
A. Yousafzai, L. U. Khan, U. Majeed, O. Hakeem, C. S. Hong, FedMarket: A Cryptocurrency Driven Marketplace for Mobile Federated Learning Services. IEEE Access, Vol. 10, 2022
L. U. Khan, Z. Han, W. Saad, E. Hossain, M. Guizani, C. S. Hong, Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities, IEEE Communications Surveys & Tutorials, 2022
L. U. Khan, Y. K. Tun, M. Alsenwi, M. Imran, Z. Han, C. S. Hong, A dispersed federated learning framework for 6G-enabled autonomous driving cars, IEEE Transactions on Network Science and Engineering, 2022
L. U. Khan, Z. Han, D. Niyato, E. Hossain, C. S. Hong, Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions, arXiv, 2022.
L. U. Khan, W. Saad, D. Niyato, Z. Han, C. S. Hong, Digital-twin-enabled 6G: Vision, architectural trends, and future directions, IEEE Communications Magazine, vol. 60, No. 1, 2022
2021
Journals
U. Majeed, L. U. Khan, A. Yousafzai, Z. Han, J. B. Park, C. S. Hong, ST-BFL: A structured transparency empowered cross-silo federated learning on the blockchain framework. IEEE ACCESS, Vol. 9, 2021
L. U. Khan, W. Saad, Z. Han, C. S. Hong, Dispersed federated learning: Vision, taxonomy, and future directions. IEEE Wireless Communications, vol. 28, No. 5, 2021
L. U. Khan, Z. Han, D. Niyato, C. S. Hong, Socially-aware-clustering-enabled federated learning for edge networks, IEEE Transactions on Network and Service Management, vol. 18, No. 3, 2021
L. U. Khan, W. Saad, Z. Han, E. Hossain, C. S. Hong, Federated learning for internet of things: Recent advances, taxonomy, and open challenges, IEEE Communications Surveys & Tutorials, vol. 23, No. 3, 2021
T. N. Dang, K. Kim, L. U. Khan, S. A. Kazmi, Z. Han, C. S. Hong, On-device computational caching-enabled augmented reality for 5G and beyond: A contract-theory-based incentive mechanism, IEEE Internet of Things Journal, vol. 8, No. 24, 2021
U. Majeed, L. U. Khan, I. Yaqoob, S. A. Kazmi, K. Salah, C. S. Hong, Blockchain for IoT-based smart cities: Recent advances, requirements, and future challenges, Journal of Network and Computer Applications, 2021
2020
Journals
L. U. Khan, S. R. Pandey, N. H. Tran, W. Saad, Z. Han, M. N. Nguyen, C. S. Hong, Federated learning for edge networks: Resource optimization and incentive mechanism, IEEE Communications Magazine, vol. 58, no. 10, 2020
L U. Khan, M. Alsenwi, I. Yaqoob, M. Imran, Z. Han, C. S. Hong, Resource optimized federated learning-enabled cognitive internet of things for smart industries, IEEE Access, vol. 8, 2020.
L. U. Khan, I. Yaqoob, M. Imran, Z. Han, C. S. Hong, 6G wireless systems: A vision, architectural elements, and future directions, IEEE ACCESS, Vol. 8, 2020
L. U. Khan, I. Yaqoob, N. H. Tran, S. A. Kazmi, T. N. Dang, C. S. Hong, Edge-computing-enabled smart cities: A comprehensive survey. IEEE Internet of Things Journal, vol. 7, no. 10, 2020
S. Ullah, K. Kim, A. Manzoor, L. U. Khan, S. A. Kazmi, C. S Hong, Quality adaptation and resource allocation for scalable video in D2D communication networks, IEEE Access, vol. 8, 2020
L. U. Khan, I. Yaqoob, N. H. Tran, Z. Han, C. S. Hong, Network slicing: Recent advances, taxonomy, requirements, and open research challenges. IEEE Access, vol. 8, 2020
Conferences
L. U. Khan, U. Majeed, C. S Hong, Federated learning for cellular networks: Joint user association and resource allocation, In 2020 21st Asia-Pacific Network Operations and Management Symposium, 2020
U. Majeed, L. U. Khan, C. S. Hong, Cross-silo horizontal federated learning for flow-based time-related-features oriented traffic classification, In 21st Asia-Pacific Network Operations and Management Symposium, 2020
L. U. Khan, M. Alsenwi, Z. Han, C. S. Hong, Self organizing federated learning over wireless networks: A socially aware clustering approach, In 2020 international conference on information networking, 2020