Qun Wang
Assistant Professor
Graduate Advisor
Email: qunwang@sfsu.edu
Office Hours: Thursday 1:00 pm to12:00 pm, Zoom
- B5G/6G Network
- Edge Computing
- CyberSecurity in Intelligent IoT networks
- H. Hu, X. Zhou, Q. Wang and R. Q. Hu, "Online computation offloading and trajectory scheduling for UAV-enabled wireless powered mobile edge computing," in China Communications, vol. 19, no. 4, pp. 257-273, April 2022, doi: 10.23919/JCC.2022.04.019.
- H. Hu, W. Song, Q. Wang, R. Q. Hu and H. Zhu, "Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network," in IEEE Internet of Things Journal, vol. 9, no. 17, pp. 15942-15956, 1 Sept.1, 2022, doi: 10.1109/JIOT.2022.3153847.
- Q. Wang, H. Sun, R. Q. Hu and A. Bhuyan, "When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges," in IEEE Open Journal of the Communications Society, vol. 3, pp. 176-208, 2022, doi: 10.1109/OJCOMS.2022.3146364.
- Q. Wang, F. Zhou, H. Hu and R. Q. Hu, "Energy-Efficient Design for IRS-Assisted MEC Networks with NOMA," 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP), 2021, pp. 1-6, doi: 10.1109/WCSP52459.2021.9613291.
- Q. Wang, F. Zhou, H. Hu and R. Q. Hu, "Energy-Efficient Design for IRS-Assisted MEC Networks with NOMA," 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP), 2021, pp. 1-6, doi: 10.1109/WCSP52459.2021.9613291.
- H. Hu, Q. Wang, R. Q. Hu and H. Zhu, "Mobility-Aware Offloading and Resource Allocation in a MEC-Enabled IoT Network With Energy Harvesting," in IEEE Internet of Things Journal, vol. 8, no. 24, pp. 17541-17556, 15 Dec.15, 2021, doi: 10.1109/JIOT.2021.3081983.