Bryce Zhai
Associate Professor Supervisor of Master's Candidates
Gender:Male
Alma Mater:香港城市大学
Education Level:香港城市大学
Degree:Doctoral Degree in Philosophy
School/Department:College of Computer Science and Technology
Business Address:计算机学院-226
Contact Information:http://smartworkware.com/blueice
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Affiliation of Author(s):计算机科学与技术学院/人工智能学院/软件学院
Journal:IEEE ACCESS
Key Words:Cognitive radio networks admission control network capacity energy efficiency spectral radius
Abstract:In the next-generation cognitive radio networks, numerous secondary users will share the spectrum resource with the primary users. As it may not be possible to support all the communication rate requirements, there are many supporting sets for the secondary users as long as the communication rates of the primary users are guaranteed. In this paper, we study the maximum feasible set problem to access as many secondary users as possible, under the constraints of power budgets and communication rates in cognitive radio networks. In this interesting issue, the existing literature generally removes a subset of the secondary users so that the remaining users achieve the thresholds with communication rates and power budgets. However, the removal algorithms cause more interference when there are plenty of unsupported secondary users. We leverage the spectral radius of the network characteristic matrix as the admission price to access the new secondary user. Then, we design a hybrid access control algorithm to reduce the interference time and approximate the maximum network capacity. Moreover, different supported sets produce the different energy efficiency, even having the same network capacity, while all users require the high communication rates. Numerical results demonstrate that our algorithms provide the decent energy efficiency under the communication rate constraints.
ISSN No.:2169-3536
Translation or Not:no
Date of Publication:2018-01-01
Co-author:Chen, Kun,Liu, Xin,Sun, Xianwei,cxm,cb
Correspondence Author:Chen, Kun,Liu, Xin,Bryce Zhai
副教授，2013年获香港城市大学博士学位。长期致力于资源优化、博弈论、移动网络和智能无人系统的研究，作为项目负责人和核心成员参与了多项国家及江苏省重点研发计划、国家自然科学基金、陆军装备部、中国民航总局等项目，具有丰富的项目研究和技术开发经验。迄今发表相关论文60余篇，包括IEEE Journal on Selected Areas in Communications、IEEE/ACM Transactions on Networking、IEEE Transactions on Mobile Computing、IEEE Transactions on Communications、IEEE Transactions on Wireless Communications、IEEE Transactions on Vehicular Technology等国际知名期刊，论文被引用超600次。获2015年国际期刊IEEE Transactions on Communications的审稿人模范奖、2021年中国百篇最具影响国际学术论文奖、和2022年江苏省信息技术应用学会青年科技奖二等奖。
资源优化、移动计算、物联网、下一代无线网络
无人系统、多智能体协同、决策优化
代表性期刊：
[1] J. Li, X. B. Zhai, H. Qian, R. Zhang, X. Liu, Joint Trajectory Design and Power Allocation in NOMA-based UAV Networks, IEEE Transactions on Vechicular Technology, to appear, 2023.
[2] B. Li, X. Song, T. Dai, W. Wu, D. Zhu, X. B. Zhai, H. Wen, Q. Lin, H. Chen and K. Cai, Trust Management Strategy for Digital Twins in Vehicular Ad Hoc Networks, IEEE Journal on Seleteded Areas in Communications, to appear, 2023.
[3] G. Chen, X. B. Zhai, and C. Li, Joint Optimization of Trajectory and User Association via Reinforcement Learning for UAV-aided Data Collection in Wireless Networks, IEEE Transactions on Wireless Communications, vol. 22, no. 5, pp. 3128-3143, 2023.
[4] X. Liu, Y. Yu, B. Peng, X. B. Zhai, Q. Zhu, and V. C. M. Leung, RIS-UAV Enabled Worst-case Downlink Secrecy Rate Maximization for Mobile Vehicles, IEEE Transactions on Vechicular Technology, vol. 72, no. 5, pp. 6129-6141, 2023.
[5] Q. Wu, X. B. Zhai, X. Liu, C. Wu, F. Lou and H. Zhang, Performance Tuning via Lean Measurements for Acceleration of Virtualized Network Functions, IEEE/ACM Transactions on Networking, vol. 31, no. 1, pp. 366-379, Jul. 2023.
[6] X. B. Zhai, X. Liu, C. Zhu, K. Zhu and B. Chen, Fast Admission Control and Power Optimization with Adaptive Rates for Communication Fairness in Wireless Networks, IEEE Transactions on Mobile Computing, vol. 20, no. 3, pp. 1017-1026, 2021. (full color)
[7] X. Liu, X. B. Zhai, W. Lu and C. Wu, QoS-guarantee Resource Allocation for Multibeam Satellite Industrial Internet of Things with NOMA, IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 2052-2061, 2021.
[8] X. Zhai, X. Guan, C. Zhu, L. Shu and J. Yuan, Optimization Algorithms for Multi-Access Green Communications in Internet of Things, IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1739-1748, Jun. 2018.
[9] X. Zhai, C. W. Tan, Y. Huang and B. D. Rao, Transmit Beamforming and Power Control for Optimizing the Outage Probability Fairness in MISO Networks, IEEE Transactions on Communications, vol. 65, no. 2, pp. 839-850, Feb. 2017.
[10] X. Zhai, J. Yang and L. Cui, Wireless Network Localization via Alternating Projections with TDOA and FDOA Measurements, Ad Hoc & Sensor Wireless Networks, vol. 38, no. 1-4, pp. 1-20, 2017.
[11] 翟象平, 面向工业4.0 的物联网安全教学, 计算机教育, vol. 1, pp. 84-86, 2016.
[12] X. Zhai, L. Zheng and C. W. Tan, Energy-infeasibility tradeoff in cognitive radio networks: Price-driven spectrum access algorithms, IEEE Journal on Selected Areas in Communications, vol. 32, no. 3, pp. 528-538, Mar. 2014.
部分会议论文：
[1] G. Yang, H. Zheng, X. B. Zhai, and J. Zhu, Energy-Efficient Cellular Offloading Optimization for UAV-Aided Networks. NCAA, pp. 286-301, 2023.
[2] M. Lu, X. B. Zhai, and X. Li, Long Sequence Time-Series Forecasting via Gated Convolution and Temporal Attention Mechanism, IEEE UIC, pp. 1195-1200, 2022.
[3] L. He, H. Zheng, and X. B. Zhai, REUT: A Retinex-Inspired Low-Light Image Enhancer for UAV Tracking at Night, IEEE UIC, pp. 1051-1057, 2022.
[4] B. Liu, X. B. Zhai, B. Du and J. Zhu, Formation Control Optimization via Leader Selection for Rotor Unmanned Aerial Vehicles, IEEE NCAA, pp. 44-55, 2022.
[5] C. Sun, X. B. Zhai, J. Zhu and X. Zhao, On Efficient Path Generation Method of UAV Through Multiple Waypoints, ICGNC, to appear, 2022.
[6] C. Yao, J. Zhu and X. B. Zhai, Fast Consensus of Second-order Multi-agent Systems Based on Past State Prediction, ICGNC, to appear, 2022.
[7] Y. Shi, C. Yi, B. Chen, C. Yang, X. B. Zhai and J. Cai, Closed-Loop Control of Edge-Cloud Collaboration Enabled IIoT: An Online Optimization Approach, IEEE ICC, pp. 5682-5687, 2022.
[8] G. Chen, X. B. Zhai, and C. Li, Interference-Aware Trajectory Design for Fair Data Collection in UAV-Assisted IoT Networks by Deep Reinforcement Learning, IEEE HPCC, pp. 345-352, 2021.
[9] J. Li, X. B. Zhai, and X. Liu, Joint User Scheduling and Trajectory Planning for QoS in UAV-based NOMA Networks, IEEE HPCC, pp. 949-954, 2021.
[10] D. Wu, J. Xu, J. Yuan, and X. Zhai, A Novel Deployment Method for UAV-mountedMobile Base Stations, IEEE MSN, pp. 40-47, 2021.
[11] D. Song, X. B. Zhai, X. Liu, and C. W. Tan, Jointly Optimal Fair Data Collection and Trajectory Design Algorithms in UAV-Aided Cellular Networks, IEEE WCNC, pp. 1-6, 2021. (talk)
[12] R. Wang, X. B. Zhai, Y. Zhao, and X. Zhao, Delivery Optimization for Unmanned Aerial Vehicles Based on Minimum Cost Maximum Flow With Limited Battery Capacity, WASA, no. 3, pp. 77-85, 2021.
[13] Y. Zhang, X. Li, J. Qiu, X. B. Zhai, and M. Wei, GFU-Net: A Deep Learning Approach for Automatic Metal Crack Detection, IEEE NCAA, pp. 375–388, 2021.
[14] C. Han, Q. Zhang and X. Zhai, Priority based Multi-user Task Scheduling for Vehicular Cloud Services, ICCC, pp. 110-114, 2020.
[15] K. Chen, H. Lu, X. B. Zhai, C. Li, Y. Zhao and B. Chen, Trajectory Optimization Under Constrained UAV-Aided Wireless Communications with Ground Terminals, AICON, pp. 350-362, 2019.
[16] L. Li, X. B. Zhai, B. Chen and C. Li, Multiple Task Assignment for Cooperating Homogeneous Unmanned Aerial Vehicles, MLICOM, pp. 211-221, 2019.
[17] H. Lu, K. Chen, X. Zhai, B. Chen and Y. Zhao, Tradeoff Between Duration and Energy Optimization for Speed Control of Quadrotor Unmanned Aerial Vehicle, IEEE ISPCE-CN, pp. 1-5, 2018.
[18] X. Zhai, E. Xu, X. Liu, C. Zhu, K. Zhu and B. Chen, Adaptive Optimization with Max-min Achievable Rate Fairness in Mobile Cloud Networking, IEEE ICC, pp. 1-6, 2018.
[19] X. Zhai and C. W. Tan, Rate-Constrained Energy Minimization in Networks with Multiple Mobile Network Operator Access, IEEE Globecom, pp. 1-6, 2017.
[20] T. Zhou, B. Chen, C. Zhu and X. Zhai, TPAHS: A Truthful and Profit Maximizing Double Auction for Heterogeneous Spectrums, IEEE Trustcom, pp. 27-33, 2016.
[21] X. Guan, X. Zhai, C. Zhu and J. Yuan, Total Power Minimization for High Rate Communication in Multi-channel Multi-user Wireless Networks, IEEE HPCC, pp. 824-830, 2016.
经费充足，项目充沛。主持国家青年自然科学基金1项、江苏省科学基金2项、博士后基金1项、横向课题3项。参与国家及江苏省重点研发项目共3项。
李丽、宋丹、汪睿、程卓、陈功、李佳、刘步、孙诚、傅丽华、陆梦俊、李玉然、付爽、蒋柳沙、赵康玮
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