Ph. D. Dissertation: Changyang She (Supervisor: Prof. Chenyang Yang), "Energy Efficiency-Delay Relation and Cross-layer Transmission Policy Design in Wireless Communications," Beihang University, 2017. Outstanding PhD Thesis Award from Electric Academy of China in 2018 (only 22 winners among hundreds of candidates throughout mainland China in 2018).
[2.15] Bing Shi, Fuchun Zheng, Changyang She, Jingjing Luo, and Alister G. Burr, "Risk-Resistant Resource Allocation for eMBB and URLLC coexistence under M/G/1 Queueing Model", IEEE Trans. Veh. Tech., accepted, 2022. [2.14] Chaoqiong Fan, Changyang She, Hengsheng Zhang, Bin Li, Cenglin Zhao, and Dusit Niyato, "Learning to Optimize User Association and Specturm Allocation with Partial Observation in mmWave-Enabled UAV Networks", IEEE Trans. on Wireless Commun., accepted, 2021. [2.13] Zhengchuan Chen, Dapeng Deng, Changyang She, Yunjian Jia, Liang Liang, Shuyang Fang, Min Wang, and Yonghui Li, "Age of Information: Teh Multi-Stream M/G/1/1 Non-preemptive System", IEEE Trans. on Commun., accepted, 2022. [2.12] Zhanwei Hou, Changyang She, Yonghui Li, Dusit Niyato, Mischa Dohler, and Branka Vucetic, "Intelligent Communications for Tactile Internet in 6G: Requirements, Technologies, and Challenges", IEEE Commun. Mag., accepted, 2021. [2.11] Mingxiong Zhao, Jun-Jie Yu, Wen-Tao Li, Di Liu, Shaowen Yao, Wei Feng, Changyang She and Tony Q.S. Quek, "Energy-Aware Task Offloading and Resource Allocation for Time-Sensitive Services in Mobile Edge Computing Systems", IEEE Trans. Veh. Tech., accepted, 2021. [2.10] Alva Kosasih (PhD Student, USYD), Vera Miloslavskaya, Wibowo Hardjawana, Changyang She, Chao-Kai Wen, and Branka Vucetic, "A Bayesian Receiver with Improved Complexity-Reliability Trade-off in Massive MIMO Systems", IEEE Trans. on Commun., accepted, 2021. [2.9] Hui Zhou (PhD Student, KCL), Changyang She, Yansha Deng, Mischa Dohler, and Arumugam Nallanathan, “Machine Learning for Massive Industrial Internet of Things”, IEEE Wireless Commun., accepted, 2021. [2.8] Zhouyou Gu (PhD Student, USYD), Changyang She, Wibowo Hardjawana, Simon Lumb, David McKechnie, Todd Essery, and Branka Vucetic, "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation", IEEE J. Sel. Areas Commum., Series on Machine Learning in Communications and Networks, early access, Jun. 2021. [2.7] Rui Dong (PhD Student, USYD), Changyang She, Wibowo Hardjawana, Yonghui Li, and Branka Vucetic, "Deep Learning for Radio Resource Allocation with Diverse Quality-of-Service Requirements in 5G", IEEE Trans. on Wireless Commun., vol. 20, no. 4, pp. 2309-2324, Apr. 2021. [2.6]Chandan Pradhan (PhD Student, USYD), Ang Li, Changyang She, Yonghui Li, and Branka Vucetic, "Computing Offloading for IoT in C-RAN: Optimization and Deep Learning", IEEE Trans. on Commun., vol. 68, no. 7, pp. 4565-4579, Jul. 2020. [2.5] Zhanwei Hou (PhD Student, USYD), Changyang She, Yonghui Li, Zhuo Li, and Branka Vucetic, "Prediction and Communication Codesign for Ultra-Reliable and Low-Latency Communications", IEEE Trans. on Wireless Commun., vol. 19, no. 2, pp. 1196-1209, Feb. 2020. [2.4] Rui Dong (PhD Student, USYD), Changyang She, Wibowo Hardjawana, Yonghui Li, and Branka Vucetic, "Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital Twin", IEEE Trans. on Wireless Commun., vol. 18, no. 10, pp. 4692-4707, Oct. 2019. [2.3]Daquan Feng, Changyang She, Kai Ying, et al., "Towards Ultra-Reliable Low-Latency Communications: Typical Scenarios, Possible Solutions, and Open Issues", IEEE Veh. Tech. Mag. IEEE 5G Initiatives Special Issue on 5G Technologies and Applications, vol. 14, no. 2, pp. 94-102, Jun. 2019. [2.2]Chengjian Sun (PhD Student, BUAA), Changyang She, Chenyang Yang, Tony Q. S. Quek, Yonghui Li, and Branka Vucetic, "Optimizing Resource Allocation in Short Blocklength Regime for Ultra-reliable and Low-latency Communications", IEEE Trans. on Wireless Commun., vol. 18, no. 1, pp. 402-415, Jan. 2019. [2.1]Zhanwei Hou (PhD Student, USYD), Changyang She, Yonghui Li, Tony Q. S. Quek, and Branka Vucetic, "Burstiness Aware Bandwidth Reservation for Ultra-reliable and Low-latency Communications (URLLC) in Tactile Internet", IEEE JSAC SI on Emerging Technologies in Tactile Internet and Backhaul/Fronthaul Networks, vol. 36, no. 11, pp. 2401-2410, Nov., 2018.