个人简介

周振宇，男，汉族。2011年于早稻田大学获国际信息通信学博士学位，华北电力大学电气与电子工程学院教授、博士生导师，学院科研助管，协助院长管理科研、信息与通信学科建设等工作。IEEE高级会员、中国通信学会高级会员、中国电子学会高级会员、中国电子学会青年科学家俱乐部会员。承担“信号与系统”、“数字信号处理”、“通信系统原理”等本科生课程的教学工作。 研究领域主要包括第五代移动通信技术（5G）、电力物联网、5G无线异构网络、能源互联网信息通信技术、新能源电力系统特性与多能互补、电动汽车充放电调度与能源管理等。带领团队结合D2D/M2M物联网网络终端能量受限的特点，对传统的物理层资源分配技术进行了系统、全面的创新，解决了长期困扰物联网通信的能量利用率低、网络不稳定及更换电池成本高等关键技术问题，提出并形成了新一代物联网低功耗、高能效传输技术。作为项目负责人，先后主持了多项国家级、省部级科研项目，包括国家自然科学基金面上基金项目、国家自然科学基金青年科学基金项目、北京市自然科学基金青年科学基金项目、北京市优秀人才计划项目、国家电网公司横向项目等，项目金额超过600万元，积累了深厚的理论基础和丰富的研究经验。 以第一作者及通信作者在IEEE Transactions on Communications、IEEE Transactions on Vehicular Technology、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Green Communications and Networking、IEEE Journal on Selected Areas in Communications、IEEE Transactions on Industrial Informatics、IEEE Internet of Things Journal 、IEEE Communications Magazine 、IEEE Wireless communications、IEEE Network 等通信领域主流期刊发表论文50 余篇。论文总引用1900余次，单篇论文引用最高140次（Google Scholar 统计数据），其中ESI前1%高被引论文7篇，Scopus 前1%高被引论文3篇，最高影响因子10.345，其研究工作已被Prof. Weihua Zhuang（加拿大工程院院士、IEEE Fellow）、Prof. Sherman Shen（加拿大工程院院士、IEEE Fellow）、Prof. Vincent Poor（美国科学院院士、加拿大科学院院士、英国皇家科学院院士、IEEE Fellow）、Prof. Andreas Molisch（奥地利科学院院士、IEEE Fellow）、易芝玲教授（中国移动研究院首席科学家）以及IEEE Journal on Selected Areas in Communications、IEEE Transactions on Wireless Communications、IEEE Communications Magazine 等通信领域顶级期刊引用和正面评价。 教学课程 数字电子技术基础B，2013.9-2013.11，48学时，95人 智能电网通信技术，2014.9-2014.12，32学时，17人 智能电网通信技术，2015.9-2015.10，32学时，36人 智能电网通信技术，2017.3-2017.4，32学时，77人 数字信号处理，2017.9-2017.11，48学时，130人 通信系统原理，2017.9-2017.12，64学时，114人 智能电网通信技术，2018.3-2018.4，32学时，126人 信号与系统，2018.3-2018.6，56学时，91人 智能电网导论，2018.9-2018.12，32学时，106人 通信系统原理，2018.9-201812，64学时，113人 电子信息工程新技术讲座，2018.9-2018.12，16学时，14人 信号与系统，2019.3-2019.6，56学时，81人 数字信号处理，2019.9-2019.12，48学时，88人 电子信息工程新技术讲座，2019.9-2019.12，16学时，58人

研究领域

无线通信网络与新技术 (Wireless Communication Networks and New Technology) 物联网与现代传感技术(Internet of Things and Modern Sensing Technology) 能源互联网信息通信技术(Energy Internet Information and Communication Technology)

主要科研项目情况 [1]国家自然科学基金青年科学基金项目，基于内容感知的D2D异构网络绿色资源分配与缓存协同技术研究，2017.1-2019.12，22.4万 [2]国家自然科学基金面上项目，基于用户需求感知的5G异构网络无线资源管理关键技术研究，2020.1-2023.12，57万 [3]国家电网公司科技部，基于配用电电力物联网典型场景的5G通信关键技术应用研究，2020.01-2020.12，195万 [4]国家自然科学基金，D2D通信在异构网络中的跨层资源管理和协同中继研究，2017.1.10-2019.12，21.5万 [5]教育部“双一流”引导专项科学研究类项目重点项目，泛在电力物联网5G无线通信关键技术研究，300万 [6]北京市自然科学基金项目，基于移动用户情景感知的绿色D2D通信技术研究，2017.1-2018.12，10万 [7]北京市优秀人才项目，基于移动社交行为分析的绿色D2D通信技术研究，2017.1-2018.12，4万 [8]陕西省能源大数据智能处理省市共建重点实验室，基于大数据分析和博弈论的V2G能量调度优化研究，2019.07-2020.12，5万 [9]中央高校基本科研业务专项资金项目，基于大数据分析与非合作博弈的能源局域网优化调度研究，2017.1-2018.12，8万 [10]南京信息工程大学项目，基于内容感知的D2D异构网络资源分配技术，2016.11-2019.6，10万 [11]新能源电力系统国家重点实验室项目，面向海量终端接入的电力物联网技术研究，2019.1-2020.12，7万 [12]企业横向项目，基于物联网低压配电检测系统，2017.11-2018.12，100万 [13]企业横向项目，支撑新能源接入微网的互操作协议研究，2017.1-2017.12，19.6万 [14]企业横向项目，基于物联网的智能移动终端直通通信技术研究，2016.7-2017.7，17.7万 [15]企业横向项目，智能移动终端直通通信技术及其仿真研究，2015.12-2018.10，30万 [16]企业横向项目，自动化工厂能耗监控系统，2014.4-2017.3，50万 [17]企业横向项目，基于无线传感器网络的智能工厂环境监控系统，2013.11-2014.12，3万

近期论文

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期刊论文： [1]Z. Zhou, H. Liao, B. Gu, S. Mumtaz, and J. Rodriguez, “Resource Sharing and Task Offloading in IoT Fog Computing: A Contract-Learning Approach”, IEEE Transactions on Emerging Topics in Computational Intelligence, to appear. [2]Z. Zhou, H. Liao, X. Zhao, B. Ai, and M. Guizani, “Reliable Task Offloading for Vehicular Fog Computing under Information Asymmetry and Information Uncertainty”,IEEE Transactions on Vehicular Technology,vol. PP, no. 99, pp. 1-1, Jul. 2019.(Early Access) [3]B. Gu and Z. Zhou, “Task Offloading in Vehicular Mobile-Edge Computing: A Matching-Theoretic Framework”, IEEE Vehicular Technology Magazine, vol. PP, no. 99, pp. 100-106, Jul. 2019.(Early Access) [4]Z. Zhou, C. Zhang, J. Wang, B. Gu, S. Mumtaz, J. Rodriguez, and X. Zhao, “Energy-efficient Resource Allocation for Energy Harvesting-based Cognitive Machine-to-machine Communications”, IEEE Transactions on Cognitive Communications and Networking, vol. PP, no. 99, pp. 1-1, Jun. 2019.(Early Access). [5]J. Li, Z. Zhou, J. Wu, J. Li, S. Mumtaz, X. Li, H. Gacanin, and S. Alotaibi, “Decentralized On-Demand Energy Supply for Blockchain in Internet of Things: A Microgrids Approach”,IEEE Transactions on Computational Social Systems, vol. PP, no. 99, pp. 1-12, Jun. 2019. (Early Access). [6]Z. Zhou, B. Wang, M. Dong, and K. Ota, “Secure and Efficient Vehicle-to-Grid Energy Trading in Cyber Physical Systems: An Integration of Blockchain and Edge Computing”, IEEE Transactions on System, Man, and Cybernetics: Systems, vol. PP, no. 99, pp. 1-15, May. 2019.(Early Access) [7]Z. Zhou, B. Wang, Y. Guo, and Y. Zhang, “Blockchain and Computational Intelligence inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles”, IEEE Transactions on Emerging Topics in Computational Intelligence,vol. 3, no. 3, pp. 205-216, May 2019. [8]Z. Zhou, X. Chen, and B. Gu, “Multi-Scale Dynamic Allocation of Licensed and Unlicensed Spectrum in Software-Defined HetNets,”IEEE Network, vol. 33, no. 4, pp. 9-15, Jul./Aug. 2019. [9]Z. Zhou, J. Feng, Z. Chang, and X. Shen, “Energy-Efficient Edge Computing Service Provisioning for Vehicular Networks: A Consensus ADMM Approach”, IEEE Transactions on Vehicular Technology,vol. 68, no. 5, pp. 5087-5099, Mar. 2019. [10]Z. Zhou, Y. Guo, Y. He, X. Zhao, and W. M. Bazzi, “Access Control and Resource Allocation for M2M Communications in Industrial Automation”, IEEE Transactions on Industrial Informatics, vol. 15, no. 5, pp. 3093-3103, Mar. 2019. [11]Z. Guan, Y. Zhang, G. Si, Z. Zhou, J. Wu, S. Mumtaz, and J. Rodriguez, “ECOSECURITY: Tackling Challenges Related to Data Exchange and Security: An Edge-Computing-Enabled Secure and Efficient Data Exchange Architecture for the Energy Internet”, IEEE Consumer Electronics Magazine, vol. 8, no. 2, pp. 61-65, Mar. 2019. [12]Z. Zhou, P. Liu, J. Feng, Y. Zhang, S. Mumtaz, and J. Rodriguez, “Computation Resource Allocation and Task Assignment Optimization in Vehicular Fog Computing: A Contract-Matching Approach”, IEEE Transactions on Vehicular Technology, vol. 68, no. 4, pp. 3113-3125, Apr. 2019. [13]C. Xu, J. Feng, Z. Zhou*, J. Wu, and C. Perera, “Cross-Layer Optimization for Cooperative Content Distribution in Multihop Device-to-Device Networks”, IEEE Internet of Things Journal, vol. 6, no. 1, pp. 278-287, Feb. 2019. [14]M. Adnan, M. Tariq, Z. Zhou, and H. Poor, “Load Flow Balancing and Transient Stability Analysis in Renewable Integrated Power Grids”, International Journal of Electrical Power & Energy Systems, vol. 104, pp. 744-771, Jan. 2019. [15]L. Zhao, X. Li, B. Gu, Z. Zhou*, S. Mumtaz, V. Frascolla, H. Gacanin, M. I. Ashraf, J. Rodriguez, M. Yang, and S. Al-Rubaye, “Vehicular Communications: Standardization and Open Issues”, IEEE Communications Standards Magazine, vol. 2, no. 4, pp. 74-80, Dec. 2018. [16]Z. Zhou, H. Yu, C. Xu, Z. Chang, S. Mumtaz, and J. Rodriguez, “BEGIN: Big Data Enabled Energy-Efficient Vehicular Edge Computing”, IEEE Communications Magazine, vol. 56, no. 12, pp. 82-89, Dec. 2018. [17]Z. Zhou, J. Feng, B. Gu, B. Ai, S. Mumtaz, J. Rodriguez, and M. Guizani, “When Mobile Crowd Sensing Meets UAV: Energy-Efficient Task Assignment and Route Planning”, IEEE Transactions on Communications, vol. 66, no. 11, pp. 5526-5538, Nov. 2018. (IEEE CSIM Technical Committee 2019 Best Paper Award/ESI 1% Highly Cited Paper) [18]Z. Zhou, H. Liao, B. Gu, K. M. S. Huq, S. Mumtaz, and J. Rodriguez, “Robust Mobile Crowd Sensing: When Deep Learning Meets Edge Computing”, IEEE Network, vol. 32, no. 4, pp. 54-60, Aug. 2018.(ESI 1% Highly Cited Paper) [19]Z. Zhou, J. Feng, L. Tan, Y. He, and J. Gong, “An Air-Ground Integration Approach for Mobile Edge Computing in IoT”, IEEE Communications Magazine, vol. 56, no. 8, pp. 40-47, Aug. 2018. [20]Z. Zhou, J. Feng, C. Zhang, Z. Chang, and Y. Zhang, “SAGECELL: Software-Defined Space-Air-Ground Integrated Moving Cells”, IEEE Communications Magazine, vol. 56, no. 8, pp. 92-99, Aug. 2018. [21]J. Gong, Z. Zhou*, and S. Zhou, “On the Time Scales of Energy Arrival and Channel Fading in Energy Harvesting Communications”, IEEE Transactions on Green Communications and Networking, vol. 2, no. 2, pp. 482-492, Jun. 2018. [22]Z. Zhou, S. Mumtaz, K. M. Huq, and A. Al-Duiaimi, “Cloud Miracles: Heterogeneous Cloud RAN for Fair Coexistence of LTE-U and Wi-Fi in Ultra Dense 5G Network”, IEEE Communications Magazine, vol. 56, no. 6, pp. 64-71, Jun. 2018. [23]Z. Zhou, C. Zhang, C. Xu, F. Xiong, Y. Zhang, and T. Umer, “Energy-Efficient Industrial Internet of UAVs for Power Line Inspection in Smart Grid”, IEEE Transactions on Industrial Informatics, vol. 14, no. 6, pp. 2705-2714, Jun.2018. [24]K. M. S. Huq, J. M. Jornet, W. H. Gerstacker, A. Al-Dulaimi, Z. Zhou, and J. Aulin, “THz Communications for Mobile Heterogeneous Networks”, IEEE Communications Magazine, vol. 56, no. 6, pp. 94-95, Jun. 2018. [25]Z. Zhou, L. Tan, B. Gu, Y. Zhang, and J. Wu, “Bandwidth Slicing in Software-Defined 5G: A Stackelberg Game Approach”, IEEE Vehicular Technology Magazine, vol. 13, no. 2, pp. 102-109, Jun. 2018. [26]Z. Chang, L. Lei, Z. Zhou*, S. Mao, and T. Ristaniemi, “Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era”, IEEE Wireless Communications, vol. 25, no.3, pp. 28-35, Jun. 2018. [27]Z. Zhou, F. Xiong, C. Xu, Y. He, and S. Mumtaz, “Energy-Efficient Vehicular Heterogeneous Networks for Green Cities”, IEEE Transactions on Industrial Informatics, vol. 14, no. 4, pp. 1522-1531, Apr. 2018. [28]Z. Zhou, H. Yu, C. Xu, Y. Zhang, S. Mumtaz, and J. Rodriguez, “Dependable Content Distribution in D2D-Based Cooperative Vehicular Networks: A Big Data-Integrated Coalition Game Approach”, IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 3, pp. 953-964, Mar. 2018. (ESI 1% Highly Cited Paper) [29]Z. Zhou, C. Gao, C. Xu, Y. Zhang, S. Mumtaz, and J. Rodriguez, “Social Big-Data-Based Content Dissemination in Internet of Vehicles”, IEEE Transactions on Industrial Informatics, vol. 14, no. 2, pp. 768-777, Feb. 2018. (ESI 1% Highly Cited Paper) [30]C. Xuand Z. Zhou*, “Vehicular Content Delivery: A Big Data Perspective”, IEEE Wireless Communications, vol. 25, no. 1, pp. 90-97, Feb. 2018. [31]D. Zhang, Y. Liu, Z. Ding, Z. Zhou*, A. Nallanathan, and T. Sato, “Performance Analysis of Non-Regenerative Massive-MIMO-NOMA Relay Systems for 5G”, IEEE Transactions on Communications, vol. 65, no. 11, pp. 4777-4790, Nov. 2017. [32]Z. Zhou, F. Chen, Y. Jia, Z. Han, and G. Li, “Unlicensed Spectrum Sharing: From Coexistence to Convergence”, IEEE Wireless Communications, vol. 24, no. 5, pp. 94-101, Oct. 2017. [33]Z. Zhou, J. Gong, Y. He, and Y. Zhang, “Software Defined Machine-to-Machine Communication for Smart Energy Management”, IEEE Communications Magazine, vol. 55, no. 10, pp. 52-60, Oct. 2017. (ESI 1% Highly Cited Paper) [34]D. Zhang, Z. Zhou*, C. Xu, Y. Zhang, J. Rodriguez, and T. Sato, “Capacity Analysis of NOMA With mmWave Massive MIMO Systems”, IEEE Journal on Selected Areas in Communications, vol. 35, no. 7, pp. 1606-1618, Jul. 2017. [35]Z. Zhou, K. Ota, M. Dong, and C. Xu, “Energy-Efficient Matching for Resource Allocation in D2D Enabled Cellular Networks”, IEEE Transactions on Vehicular Technology, vol. 66, no.6, pp. 5256-5268, Jun. 2017.(ESI 1% Highly Cited Paper) [36]Z. Zhou, C. Sun, R. Shi, Z. Chang, S. Zhou, and Y. Li. “Robust Energy Scheduling in Vehicle-to-Grid Networks”, IEEE Network, vol. 31, no. 2, pp. 30-37, Mar. 2017. [37]J. Gong, S. Zhou, Z. Zhou, and Z. Niu, “Policy Optimization for Content Push via Energy Harvesting Small Cells in Heterogeneous Networks”, IEEE Transactions on Wireless Communications, vol. 16, no.2, pp.717-729, Feb. 2017. [38]Z. Zhou, F. Xiong, B. Huang, C. Xu, R. Jiao, B. Liao, Z. Yin, and J. Li, “Game-Theoretical Energy Management for Energy Internet with Big Data-Based Renewable Power Forecasting”, IEEE Access, vol. 5, pp. 5731-5746, Feb.2017. [39]Z. Chang, J. Gong, Y. Li, Z. Zhou, T. Ristaniemi, G. Shi, Z. Han, and Z. Niu, “Energy-Efficient Resource Allocation for Wireless Power Transfer Enabled Collaborative Mobile Clouds”, IEEE Journal on Selected Areas in Communications. vol. 34, no. 12, pp.3438-3450, Sep. 2016. [40]D. Zhang, Z. Zhou, S. Mumtaz, R. Jonathan, and T. Sato, “One Integrated Energy Efficiency Proposal for 5G IoT Communications”, IEEE Internet of Things Journal, vol. 3, no. 6, pp. 1346-1354, Aug. 2016. [41]J. Gong, S. Zhou, and Z. Zhou, “Networked MIMO with Fractional Joint Transmission in Energy Harvesting Systems”, IEEE Transactions on Communications, vol. 64, no. 8, pp. 3323-3336, Aug. 2016. [42]Z. Zhou, M. Dong, K. Ota, G. Wang, and L. T. Yang, “Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks”, IEEE Internet of Things Journal, vol. 3, no. 3, pp. 428-438, Jun. 2016. (ESI/Scopus1% Highly Cited Paper) [43]S. Wang, W. Guo, Z. Zhou, Y. Wu, and X. Chu, “Outage Probability for Multi-Hop D2D Communications with Shortest Path Routing”, IEEE Communication Letters, vol. 19, no. 11, pp. 1997-2000., Nov. 2015. [44]S. Zhou, J. Gong, Z. Zhou, W. Chen, and Z. Niu, “Green Delivery: Proactive Content Caching and Push with Energy Harvesting Based Small Cells”, IEEE Communications Mag., vol. 53, no. 4, pp. 142-149, Apr. 2015. [45]Z. Zhou, M. Dong, K. Ota, R. Shi, Z. Liu, and T. Sato, “A Game-Theoretic Approach to Energy-Efficient Resource Allocation in Device-to-Device Underlay Communications”, IET Communications, vol. 9, no. 3, pp. 375-385, Feb. 2015. (IET Premium Award 2017) [46]Z. Zhou, M. Dong, K. Ota, J. Wu, and T. Sato, “Energy Efficiency and Spectral Efficiency Tradeoff in Device-To-Device (D2D) Communications”, IEEE Wireless Communication Letters, Vol. 3, No. 5, pp. 485-488, Oct. 2014. (Scopus Highly Cited Paper) 会议论文： [1]H. Yu, Z. Zhou, C. Pan, S. Mumtaz, J.Rodriguez, and M. Guizani, “Online Resource Allocation for Energy Harvesting based Large-Scale Multiple Antenna Systems”,in Proc. of IEEE Globecom 2019, Waikoloa, HI, USA, Dec. 2019. Accepted [2]H. Liao, and Z. Zhou, “Learning-Based Energy-Aware Channel Selection for Machine Type Communications”, in Proc. of IEEE Globecom 2019, Waikoloa, HI, USA, Dec. 2019. Accepted [3]Y. He, L. Tang, Z. Zhou, S. Mumtaz, K. Huq, and J. Rodriguez, “Two Time-Scale Resource Allocation in Hybrid Energy Powering 5G Wireless System”, in Proc. of IEEE Globecom 2019, Waikoloa, HI, USA, Dec.2019. Accepted [4]H. Liao, Z. Zhou, X. Zhao, B. Aim, and S. Mumtaz, “Task Offloading for Vehicular Fog Computing under Information Uncertainty: A Matching-Learning Approach”, in Proc. of 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), Tangier, Morocco, Jun. 2019, pp. 2001-2006.(IEEE IWCMC 2019 Best Paper Award) [5]Y. Wang, C. Xu, Y. He, and Z. Zhou, “Low-Complexity Cross-Layer Resource Allocation for Low-Latency D2D-Based Relay Networks”, in Proc. of 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), Tangier, Morocco, Jun. 2019, pp. 1619-1624. [6]Y. He, L. Tang, Z. Zhou, and Y. Ren, “Long-term QoE Optimization in IoV Based on Cross-layer Resource Management”,in Proc. of 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), Tangier, Morocco, Jun. 2019, pp. 465-470. [7]Y. Guo, Z. Zhou, and Y. He, “Access Control and Resource Allocation for M2M Communications in Smart Grid”, in Proc. of ICC 2019-2019 IEEE International Conference on Communications (ICC), Shanghai, China, Jun. 2019, pp. 1-6. [8]C. Zhang, Z. Zhou, P. Liu, and B. Gu, “Resource Allocation for Energy Harvesting Based Cognitive Machine-to-Machine Communications”, in Proc. of ICC 2019-2019 IEEE International Conference on Communications (ICC), Shanghai, China, Jun. 2019, pp. 1-6. [9]H. Liao, Z. Zhou, S. Mumtaz, and J. Rodriguez, “Robust Task Offloading for IoT Fog Computing Under Information Asymmetry and Information Uncertainty”, in Proc. of ICC 2019-2019 IEEE International Conference on Communications (ICC), Shanghai, China, Jun. 2019, pp. 1-6. [10]Y. He, L. Tang, and Z. Zhou, “A Distance-Sensitive Distributed Repulsive Sleeping Strategy for Densely-Deployed Small Cells in Green Cities”, in Proc. of 2018 IEEE International Conference on Communications (ICCC), Beijing, China, Aug. 2018, pp. 211-216. [11]C. Xu, Y. Wang, Z. Zhou, B. Gu, V. Frascolla, and S. Mumtaz, “A Low-Latency and Massive-Connectivity Vehicular Fog Computing Framework for 5G”, in Proc. of 2018 IEEE Global Communications Conference (Globecom), Abu Dhabi, UAE, Dec. 2018, pp. 1-6. [12]B. Gu, Z. Zhou, S. Mumtaz, V. Frascolla, and A. Bashir, “Context-Aware Task Offloading for Multi-Access Edge Computing: Matching with Externalities”, in Proc. of 2018 IEEE Global Communications Conference (Globecom), Abu Dhabi, UAE, Dec. 2018, pp. 1-6. [13]Z. Zhou, J. Feng, B. Ai, and M. Guizani, “Energy-Efficient Mobile Crowd Sensing based on Unmanned Aerial Vehicles”, in Proc. of 2018 IEEE Global Communications Conference (Globecom), Abu Dhabi, UAE, Dec. 2018, pp. 1-6. (IEEE Globecom 2018 Best Paper Award, IEEE ComSoc Green Communications and Computing Technical Committee 2018 Best Paper Award) [14]Y. Wang, C. Xu, Z. Zhou, H. Pervaiz, and S. Mumtaz, “Contract-based Resource Allocation for Low-Latency Vehicular Fog Computing”, in Proc. of 29th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, Italy, Sep. 2018, pp. 812-816. [15]Z. Zhou, L. Tan, and G. Xu, “Blockchain and Edge Computing based Vehicle-to-Grid Energy Trading in Energy Internet”,in Proc. of 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, China, Oct. 2018, pp. 1-5. [16]Z. Zhou, B. Wang, W. Liao, and G. Xu, “Contract-based Incentive-Compatible Demand Response for Internet of Electric Vehicles”, in Proc. of 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, China, Oct. 2018, pp. 1-5. [17]B. Gu, J. Feng, Z. Zhou, and M. Guizani, “Time-Dependent Pricing for On-Demand Bandwidth Slicing in Software Defined Networks”, in Proc. of 14th International Wireless Communications and Mobile Computing Conference (IWCMC), Limassol, Cyprus, Jun. 2018, pp. 1024-1029. [18]Z. Zhou, F. Xiong, H. Yu, C. Xu, S. Mumtaz, J. Rodriguez, and M. Tariq, “Trajectory-based Reliable Content Distribution in D2D-based Cooperative Vehicular Networks: A Coalition Formation Approach”, in Proc. of 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018, pp. 1-6. [19]B. Wang, Z. Chang, Z. Zhou, and T. Ristaniemi, “Reliable and Privacy-Preserving Task Recomposition for Crowdsensing in Vehicular Fog Computing”, in Proc. of 88th IEEE Vehicular Technology Conference (VTC), Porto, Portugal, Aug. 2018, pp. 1-6. [20]Z. Zhou, F. Xiong, C.Xu, Z. Chang, S. Mumtaz, and J. Rodriguez, “Autonomous Power Line Inspection based on Industrial Unmanned Aerial Vehicles: An Energy Efficiency Perspective”, in Proc. of 88th IEEE Vehicular Technology Conference (VTC), Porto, Portugal, Aug. 2018, pp. 1-5. [21]Y. Hu, Z. Chang, Z. Zhou, C. Xu, and T. Ristaniemi, “Socially-Aware Content Delivery for Device-to-Device Communications Underlay Cellular Networks”, in Proc. of 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain,Apr. 2018, pp. 95-100. [22]Z. Zhou, P. Liu, Z. Chang, C. Xu, and Y. Zhang, “Energy-Efficient Workload Offloading and Power Control in Vehicular Edge Computing”,in Proc. of 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, Apr. 2018, pp. 1-6. [23]A. Abdo, X. Zhao, Z. Zhou, Y. Zhang, and O. Alzain, “MU-MIMO Downlink Sum Rate Analysis based on SLNR and Optimum Code Vector Design for Millimeter Wave Communications”, in Proc. of 2017 IET International Conference on Wireless, Mobile & Multimedia Networks (ICWMMN), Beijing, China, Nov. 2017, pp. 64-70. [24]K. Yu, Z. Zhou, M. Arifuzzaman, A. Paul, D. Battulga, Q. Nguyen, and T. Sato, “Toward Standardization Activities for Future Networks in ITU-T: A Viewpoint from Y. Suppl.35: ITU-T Y.3033 Data-aware Networking-Scenarios and Use Cases”, in Proc. of 2017 IEEE International Conference on Computer and Communications (ICCC), Qingdao, China, Oct. 2017, pp.412-417. [25]Z. Zhou, C. Gao, C. Xu, Y. Zhang, D. Zhang, S. Mumtaz, and J. Rodriguez, “Reliable Content Dissemination in Internet of Vehicles Using Social Big Data”, in Proc. of 2017 IEEE Global Communications Conference (Globecom), Singapore, Singapore, Dec. 2017, pp. 1-6. [26]Z. Chang, Z. Zhou, T. Ristaniemi, and Z. Niu, “Energy Efficient Optimization for Computation Offloading in Fog Computing System”, in Proc. of 2017 IEEE Global Communications Conference (Globecom), Singapore, Singapore, Dec. 2017, pp. 1-6. (IEEE ComSoc Green Communications and Computing Technical Committee 2017 Best Paper Award) [27]C. Xu, J. Feng, Z. Zhou, Z. Chang, Z. Han, and S. Mumtaz, “Two-Stage Matching for Energy-Efficient Resource Management in D2D Cooperative Relay Communications”, in Proc. of 2017 IEEE Global Communications Conference (Globecom), Singapore, Singapore, Dec. 2017, pp. 1-6. [28]M. Neyja, S. Mumtaz, K. Mohammed, S. A. Busari, J. Rodriguez, and Z. Zhou, “An IoT based E-Health Monitoring System Using ECG Signal”, in Proc. of 2017 IEEE Global Communications Conference (Globecom), Singapore, Singapore, Dec. 2017, pp. 1-6. [29]Z. Zhou, H. Yu, C. Xu, F. Xiong, Y. Jia, and G. Li, “Joint Relay Selection and Spectrum Allocation in D2D-based Cooperative Vehicular Networks”,in Proc. of 8th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, Oct. 2017, pp. 241-246. [30]D. Zhang, Y. Liu, Z. Ding,Z. Zhou, and A. Nallanathan, “Performance Analysis of Non-regenerative Relay Assisted NOMA System”, in Proc. of 9th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2017, pp.1– 6. [31]Z. Guan, G. Si, X. Du, P. Liu, Z. Zhang, and Z. Zhou, “Protecting User Privacy based on Secret Sharing with Fault Tolerance for Big Data in Smart Grid”, in Proc. of 2017 IEEE International Conference on Communications (ICC), Paris, France, May 2017, pp.1-6. [32]J. Gong, Z. Zhou, and S. Zhou, “Analysis and Optimization of Wireless Transmission over Fast Fading Channels with Slow Time-Varying Energy Arrival”, in Proc. of 2017 IEEE International Conference on Communications (ICC), Paris, France, May 2017, pp.1-6. [33]Z. Zhou, F. Xiong, C. Xu, S. Zhou, and J. Gong, “Energy Management for Energy Internet: A Combination of Game Theory and Big Data-based Renewable Power Forecasting”, in Proc. of 1st IEEE International Conference on Energy Internet (ICEI), Beijing, China, Apr. 2017, pp. 198-203. [34]J. Li, Z. Guan, X. Du, Z. Zhang, and Z. Zhou, “A Low-Latency Secure Data Outsourcing Scheme for Cloud-WSN”, in Proc. of 2017 IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, USA, Mar. 2017, pp. 1-6. [35]Y. Zheng, J. Caik, and Z. Zhou, “Research Review and Application Prospect of Secondary Equipment Condition Monitoring”, in Proc. of 2016 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), Chengdu, China, Oct. 2016, pp. 290-295. [36]J. Cai, Y. Zheng, and Z. Zhou, “Review of Cyber-Security Challenges and Measures in Smart Substation”, in Proc. of 2016 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE), Chengdu, China, Oct. 2016, pp. 65-69. [37]Z. Zhou, C. Gao, and C. Xu, “Joint Peer Discovery and Resource Allocation for Social-Aware D2D Communications: A Matching Approach”, in Proc. of 15thIEEE International Conference on Communication Systems (ICCS), Shenzhen, China, Dec. 2016, pp. 1-6. [38]Z. Zhou, X. Yang, and C. Xu, “Performance Evaluation of Multi-Antenna based M2M Communications for Substation Monitoring”, in Proc. of 7th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, Oct. 2016, pp. 1-5. [39]Z. Zhou, G. Ma, D. Zhang, and C. Xu, “Energy-Efficient Context-Aware Resource Allocation in D2D Communications: An Iterative Matching Approach”, in Proc. of 7th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, Oct. 2016, pp. 1-5. [40]J. Cai, Z. Zhou, Y. Zheng, and L. Yang, “Visualization Framework for Smart Substation Secondary Equipment Condition Monitoring”, in Proc. of 2016 International Conference on Electricity Distribution (CICED), Xi'an, China, Aug. 2016, pp. 1-5. [41]R. Shi, C. Sun, Z. Zhou, L. Zhang, and Z. Liang, “A Robust Economic Dispatch of Residential Microrid with Wind Power and Electric Vehicle Integration”, in Proc. of 28th Chinese Control and Decision Conference (CCDC), Yinchuan, China, May 2016, pp. 3672–3676. [42]Z. Zhou, G. Ma, C. Xu, Z. Chang, and T. Ristaniemi, “Energy-Efficient Resource Allocation in Cognitive D2D Communications: A Game-Theoretical and Matching Approach”, in Proc. of 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016, pp. 1-6. [43]J. Gong, S. Zhou, Z. Zhou, and Z. Niu, “Joint Optimization of Content Caching and Push in Renewable Energy Powered Small Cells”, in Proc. of 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur,Malaysia, May 2016, pp. 1-6. [44]Z. Zhou, G. Ma, C. Xu, and Z. Chang, “A Game-Theoretical Approach for Green Power Allocation in Energy-Harvesting Device-to-Device Communications”, in Proc. of 83rd IEEE Vehicular Technology Conference (VTC), Nanjing, China, May 2016, pp. 1-5. [45]D. Zhang, S. Mumtaz, Z. Zhou, and T. Sato, “Integrating Energy Efficiency Mechanism with Components Selection for Massive MIMO based C-RAN”,in Proc. of 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, Malaysia, May 2016, pp. 74-79. [46]Z. Zhou, M. Dong, Z. Chang, and B. Gu, “Combined centralized and distributed resource allocation for green D2D communications”, IEEE ICCC 2015, Shenzhen, China, pp. 1-6 [47]Z. Chang, L. Zhang, X.Guo, Z. Zhou, and T. Ristaniemi, “User-cell association in heterogeneous small cell networks: a context-aware approach”, IEEE ICCC 2015, Shenzhen, China, pp. 1-5. [48]Z. Chang, Q. Zhang, X. Guo, Z. Zhou, and T. Ristaniemi, “Energy-efficient resource allocation for OFDMA two-way relay networks with channel estimation error”,Milcom 2015, Tampa, USA, pp. 559 – 564. [49]B. Gu, C. Zhang, K. Yamori,Z. Zhou, and Y. Tanaka, “Regulating network traffic by exploiting the price elasticity of demand in wireless random access”,IEICE/IEEE APSITT 2015, Republic of Sri Lanka, pp. 1-3. [50]Z. Chang, K. Zhu, Z. Zhou, and T. Ristaniemi, “Service provisioning with multiple service providers in 5G ultra-dense small cell networks”, IEEE PIMRC 2015, Hong Kong, China,pp. 1895–1900. [51]J. Gong, S. Zhou, Z. Zhou, and Z. Niu, “Proactive Push with Energy Harvesting Based Small Cells in Heterogeneous Networks”, IEEE ICC 2015, London, UK, pp. 25 – 30. [52]G. Ma,Z. Zhou, and J. Bai, “Energy-efficiency joint power allocation and channel selection for D2D communications”,ACM Mobimedia 2015, Chengdu, China, pp. 1-6. [53]Z. Chang, J. Gong, Z. Zhou, T. Ristaniemi, and Z. Niu, “Resource allocation and data offloading for energy efficiency in wireless power transfer enabled collaborative mobile clouds”, IEEE INFOCOM’2015 Workshops, pp. 336 – 341. [54]D. Zhang, K. Yu, Z. Zhou, and T. Sao, “Energy efficiency scheme with cellular partition zooming for massive MIMO sytems”,IEEE ISADS 2015 workshop on Smart Grid Communications and Networking Technologies, Taicung, Taiwan, pp. 266 – 271. [55]Z. Zhou, J. Bai, and S. Zhou, “A Stackelberg game approach for energy managemnt in smart distribution systems with microgrids”,IEEE ISADS 2015 workshop on Smart Grid Communications and Networking Technologies, Taicung, Taiwan, pp. 248 – 253. [56]Z. Zhou, S. Zhou, J. Gong, and Z. Niu, “Energy-efficient antenna selection and power allocation for large-scale multiple antenna systems with hybrid energy supply”,IEEE Globecom 2014, Austin, TX, USA, pp. 2574-2579 [57]Z. Zhou, M. Dong, K. Ota, J. Jun, and T. Sato, “Distributed Interference-Aware Energy-Efficient Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks”,IEEE Globecom 2014，Austin,TX,USA, pp. 4454-4459. [58]Z. Zhou, M. Dong, K. Ota, B. Gu, and T. Sato, “Stackelberg-game based distributed energy-aware resource allocation in device-to-device communications”,IEEE ICCS 2014 (Invited Paper), Macau, pp. 11-15. [59]Z. Chang, Y. Liu, F. Cong, X. Guo, andZ. Zhou, “Multi-domain collaborative spectrum sensing and power control in presence of multiple primary users”,IEEE ICCS 2014, Macau, pp. 369 – 373. [60]J. Gong, S. Zhou,Z. Zhou, and Z. Niu, “Downlink base station cooperation with energy harvesting”, IEEE ICCS 2014 (Invited Paper), Macau, pp. 87-91. [61]J. Bai, Z. Zhou, S. Zhou, and M. Tariq, “Distributed energy management in smart grid with dominated electricity provider and multiple microgrids”,IEEE Powercon 2014, Chengdu, Sichuan, China，pp. 3249–3256. [62]K. Yu, L. Zhu, Z. Wen, M. Arifuzzaman, Z. Zhou, and T. Sato, “CCN-AMI: performance evaluation of content-centric networking approach for advanced metering infrastructure in smart grid”,IEEE AMPS 2014, Aachen, Germany, pp. 1-6. [63]Z. Zhou, M. Dong, K. Ota, J. Jun, and T. Sato, “Error probability analysis of joint signal detection with base station sleeping and cooperation”,IEEE ICC 2014, Sydney, Australia, pp. 2443-2448. [64]J. Wu，M Dong，K Ota，and Z. Zhou, “Regenerating code based secure distributed storage for wireless sensor networks”,Springer EUSPAN/ICTH 2013, Niagara Falls, Ontario, Canada, pp. 183-190. [65]Z. Zhou, J. Wu, M. Tariq, Z. Liu and T. Sato, “Performance Evaluation of WLAN under Impulsive Electromagnetic Interference in Substation”,IEEE ICTC 2013, Jeju Island, Korea, pp. 171 – 176. [66]K. Yu, Z. Zhou and T. Sato, “Cloud-based modified residential energy management algorithm in smart grid network”, JSST 2013, Tokyo, Japan. [67]Y. Li, Z. Zhou, N. Nguyen, “Game theory based hybrid access for macrocell-edge users in a macro-femto network”, IEEE VTC 2013, pp. 1-6. [68]M. Tariq, Z. Zhou, J. Wu, M. Macuha and T. Sato, “Smart grid standards for home and building automation”, IEEE POWERCON 2012, Auckland, New Zealand. [69]Z. Zhou, Y. Jiang, M. Tariq, Y. Li and T. Sato, “An adaptive blind single antenna interference cancellation algorithm for 4G LTE systems”, IEEE HPCC 2012, Liverpool, UK, pp. 1162 – 1166. [70]Y. Jiang, Z. Zhou, M. Nanri, G. Ohta and T. Sato, “Inter-signal interference cancellation filter for four-element signal sideband modulation”, IEEE VTC 2012, Yokohama, Japan, pp. 1-5. [71]Z. Zhou, M. Tariq, Y. Jiang, N.H. Nam and T. Sato, “Performance evaluation of a blind single antenna interference cancellation algorithm for OFDM systems with insufficient training sequence”,IEEE VTC 2011, San Francisco, USA, pp. 1-5. [72]Y. Jiang, Z. Zhou, M. Nanri, G. Ohta, and T. Sato, “Performance evaluation of four orthogonal single sideband elements modulation scheme in multi-carrier transmission systems”,IEEE VTC 2011, San Francisco, USA, pp. 1-6. [73]N. H. Nam, Z. Zhou, and T. Sato, “RLS for Link Trigger in Handover Across Heterogeneous Wireless Networks”,IEEE VTC 2011, San Francisco, USA, pp. 1-5. [74]Z. Zhou and T. Sato, “Training sequence reduction for a blind single antenna interference cancellation algorithm in MQAM-OFDM systems”, IEEE PIMRC 2010, Istanbul, Turkey, pp. 36 – 40. [75]Z. Zhou, M. Tariq and T. Sato, “Error probability bounds of JMLSE based single antenna interference cancellation algorithms for MQAM-OFDM systems”,IEEE VTC 2010, Ottawa, Canada, pp. 1-5. [76]M. Tariq,Z. Zhou, Y. Park, and T. Sato,“Diffusion Based Self-deployment Algorithms for Mobile Sensor Networks”,IEEE VTC 2010, Ottawa, Canada, pp. 1-5. [77]Z. Zhou and T. Sato, “A blind single antenna interference cancellation algorithm for asynchronous OFDM communication systems”,IEEE PIMRC 2009, Tokyo, Japan, pp. 1226–1230. [78]Z. Zhou and T. Sato, “A Single Antenna Interference Cancellation Algorithm for OFDM Systems”,IEEE VTC 2009, Barcelona, Spain, pp. 1-5.

学术兼职

目前担任IEEE Internet of Things Journal、IEEE Access、EURASIP Journal on Wireless Communications and Networking、Transactions on Emerging Telecommunications Technologies、IEEE Communications Magazine等国际学术期刊的编辑及客座编辑，担任IEEE VTC 2020 Spring Tutorial Co-Chair、IEEE ICCC 2020 Workshop Co-Chair、IEEE Globecom 2018 Workshop Co-Chair，以及IEEE Globecom、IEEE ICC、IEEE WCNC、IEEE VTC、IEEE PIRMC、IEEE CCNC、IEEE APCC等国际学术会议的技术委员会委员。在国际标准化方面，担任IEEE 异构网络授权/非授权频谱融合标委会工作组骨干成员（IEEE Standards Association，P1932.1 Working Group，“Licensed/Unlicensed Spectrum Interoperability in Wireless Mobile Networks”）。应邀在IEEE车辆技术协会旗舰会议IEEE VTC’18上作Tutorial报告（报告题目：Internet of Vehicles：When SDN, Edge Computing and Big Data Meet Intelligent Transport Systems）。 IEEE高级会员、中国通信学会高级会员、中国电子学会高级会员、中国电子学会青年科学家俱乐部会员。