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周振宇

(華北電力大學教授博士生導師)

鎖定
周振宇,男,漢族。2011年於早稻田大學獲國際信息通信學博士學位,華北電力大學電氣與電子工程學院教授、博士生導師,學院科研助管,協助院長管理科研、信息與通信學科建設等工作。IEEE高級會員、中國通信學會高級會員、中國電子學會高級會員、中國電子學會青年科學傢俱樂部會員。承擔“信號與系統”、“數字信號處理”、“通信系統原理”等本科生課程的教學工作。
中文名
周振宇
國    籍
中國
民    族
漢族
出生日期
1983年
畢業院校
早稻田大學
職    業
教師

周振宇研究方向

Ø無線通信網絡與新技術 (Wireless Communication Networks and New Technology) [1] 
Ø物聯網與現代傳感技術(Internet of Things and Modern Sensing Technology)
Ø能源互聯網信息通信技術(Energy Internet Information and Communication Technology)

周振宇主要榮譽

研究領域主要包括第五代移動通信技術(5G)、電力物聯網、5G無線異構網絡、能源互聯網信息通信技術、新能源電力系統特性與多能互補、電動汽車充放電調度與能源管理等。帶領團隊結合D2D/M2M物聯網網絡終端能量受限的特點,對傳統的物理層資源分配技術進行了系統、全面的創新,解決了長期困擾物聯網通信的能量利用率低、網絡不穩定及更換電池成本高等關鍵技術問題,提出並形成了新一代物聯網低功耗、高能效傳輸技術。作為項目負責人,先後主持了多項國家級、省部級科研項目,包括國家自然科學基金面上基金項目、國家自然科學基金青年科學基金項目、北京市自然科學基金青年科學基金項目、北京市優秀人才計劃項目、國家電網公司橫向項目等,項目金額超過600萬元,積累了深厚的理論基礎和豐富的研究經驗 [1] 
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 等通信領域主流期刊發表論文50 餘篇。論文總引用1900餘次,單篇論文引用最高140次(Google Scholar 統計數據),其中ESI前1%高被引論文7篇,Scopus 前1%高被引論文3篇,最高影響因子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(美國科學院院士、加拿大科學院院士、英國皇家科學院院士、IEEE Fellow)、Prof. Andreas Molisch(奧地利科學院院士、IEEE Fellow)、易芝玲教授(中國移動研究院首席科學家)以及IEEE Journal on Selected Areas in Communications、IEEE Transactions on Wireless Communications、IEEE Communications Magazine 等通信領域頂級期刊引用和正面評價。
榮獲教育部高等學校科學研究優秀成果獎自然科學獎二等獎(排名第2)、中國產學研合作創新獎、IEEE通信學會亞太傑出青年研究學者獎、IET Communications最佳期刊論文獎、IEEE通信協會旗艦會議IEEE Globecom最佳論文獎、IEEE通信協會綠色通信與計算專委會最佳論文獎、IEEE通信協會通信系統集成與建模專委會最佳論文獎。目前擔任IEEE Internet of Things Journal、IEEE Access、EURASIP Journal on Wireless Communications and Networking、Transactions on Emerging Telecommunications Technologies、IEEE Communications Magazine等國際學術期刊的編輯及客座編輯 [1]  ,擔任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等國際學術會議的技術委員會委員。在國際標準化方面,擔任IEEE 異構網絡授權/非授權頻譜融合標委會工作組骨幹成員(IEEE Standards Association,P1932.1 Working Group,“Licensed/Unlicensed Spectrum Interoperability in Wireless Mobile Networks”)。應邀在IEEE車輛技術協會旗艦會議IEEE VTC’18上作Tutorial報告(報告題目:Internet of Vehicles:When SDN, Edge Computing and Big Data Meet Intelligent Transport Systems) [1] 
指導的學生多人次榮獲國家獎學金。與國家電網公司四川省電力公司電力科學研究院聯合培養工程碩士多名、與國家電網能源互聯網研究院聯合培養工程碩士多名。培養學生成績優異,多名畢業生進入工信部、國家電網公司、南方電網公司、三大電信運營商、中國信科、中國鐵路通信總公司、新華社、新華三等知名企事業單位工作。指導的多名學生前往加利福尼亞大學聖地亞哥分校、紐約州立大學、早稻田大學、羅徹斯特大學等世界名校攻讀碩士、博士學位。

周振宇培養情況

周振宇教學課程

數字電子技術基礎B,2013.9-2013.11,48學時,95人
智能電網通信技術,2014.9-2014.12,32學時,17人
智能電網通信技術,2015.9-2015.10,32學時,36人
智能電網通信技術,2017.3-2017.4,32學時,77人
數字信號處理,2017.9-2017.11,48學時,130人
通信系統原理,2017.9-2017.12,64學時,114人
智能電網通信技術,2018.3-2018.4,32學時,126人
信號與系統,2018.3-2018.6,56學時,91人
智能電網導論,2018.9-2018.12,32學時,106人
通信系統原理,2018.9-201812,64學時,113人
電子信息工程新技術講座,2018.9-2018.12,16學時,14人
信號與系統,2019.3-2019.6,56學時,81人
數字信號處理,2019.9-2019.12,48學時,88人
電子信息工程新技術講座,2019.9-2019.12,16學時,58人 [1] 

周振宇學生培養

畢業碩士: 已畢業碩士研究生11人 [1] 

周振宇學生獲得榮譽

高彩霞,國家一等獎學金、學業一等獎學金,2015,導師:周振宇
熊飛,研究生入學一等獎學金,2016,導師:周振宇
熊飛,國家一等獎學金、學業一等獎學金,2018,導師:周振宇
熊飛,華北電力大學優秀畢業生(碩士),2018,導師:周振宇
馮俊豪,研究生入學一等獎學金,2016,導師:周振宇
馮俊豪,國家一等獎學金、學業一等獎學金,2017,導師:周振宇
馮俊豪,國家一等獎學金、學業一等獎學金,2018,導師:周振宇
馮俊豪,華北電力大學優秀畢業生(碩士),2018,導師:周振宇
張春天,國家一等獎學金、學業一等獎學金,2018,導師:周振宇 [1] 

周振宇科研項目

[1]國家自然科學基金青年科學基金項目,基於內容感知的D2D異構網絡綠色資源分配與緩存協同技術研究,2017.1-2019.12,22.4萬
[2]國家自然科學基金面上項目,基於用户需求感知的5G異構網絡無線資源管理關鍵技術研究,2020.1-2023.12,57萬
[3]國家電網公司科技部,基於配用電電力物聯網典型場景的5G通信關鍵技術應用研究,2020.01-2020.12,195萬
[4]國家自然科學基金,D2D通信在異構網絡中的跨層資源管理和協同中繼研究,2017.1.10-2019.12,21.5萬
[5]教育部“雙一流”引導專項科學研究類項目重點項目,泛在電力物聯網5G無線通信關鍵技術研究,300萬
[6]北京市自然科學基金項目,基於移動用户情景感知的綠色D2D通信技術研究,2017.1-2018.12,10萬
[7]北京市優秀人才項目,基於移動社交行為分析的綠色D2D通信技術研究,2017.1-2018.12,4萬
[8]陝西省能源大數據智能處理省市共建重點實驗室,基於大數據分析和博弈論的V2G能量調度優化研究,2019.07-2020.12,5萬
[9]中央高校基本科研業務專項資金項目,基於大數據分析與非合作博弈的能源局域網優化調度研究,2017.1-2018.12,8萬
[10]南京信息工程大學項目,基於內容感知的D2D異構網絡資源分配技術,2016.11-2019.6,10萬
[11]新能源電力系統國家重點實驗室項目,面向海量終端接入的電力物聯網技術研究,2019.1-2020.12,7萬
[12]企業橫向項目,基於物聯網低壓配電檢測系統,2017.11-2018.12,100萬
[13]企業橫向項目,支撐新能源接入微網的互操作協議研究,2017.1-2017.12,19.6萬
[14]企業橫向項目,基於物聯網的智能移動終端直通通信技術研究,2016.7-2017.7,17.7萬
[15]企業橫向項目,智能移動終端直通通信技術及其仿真研究,2015.12-2018.10,30萬
[16]企業橫向項目,自動化工廠能耗監控系統,2014.4-2017.3,50萬
[17]企業橫向項目,基於無線傳感器網絡的智能工廠環境監控系統,2013.11-2014.12,3萬 [1] 

周振宇主要獲獎

[1]教育部高等學校自然科學二等獎,2019(排名第2)
[2]中國電子學會產學研合作創新獎,2018(排名第1)
[3]IEEE ComSoc CSIM最佳論文獎,2019(排名第1)
[4]IEEE IWCMC最佳論文獎,2019(排名第2)
[5]IEEE Globecom最佳論文獎,2018(排名第1)
[6]IEEE ComSoc TCGCC最佳論文獎,2018(排名第1)
[7]IEEE ComSoc TCGCC最佳論文獎,2017(排名第2)
[8]IET 最佳論文獎,2017(排名第1)
[9]北京市優秀人才培養資助計劃,2016
[10]IEEE VTS青年學者鼓勵獎,2009(排名第1) [1] 

周振宇代表性論著

周振宇期刊論文

[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) [1] 

周振宇會議論文

[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. [1] 
參考資料