| 职称：副教授，博士生导师 | ||||
办公室：无线谷A1楼1217室 | |||||
Email：yxjiang@seu.edu.cn 本课题组致力于6G无线通信、机器学习/深度学习/人工智能、凸优化理论与算法等前沿交叉领域的基础理论与应用研究。已指导学生在通信领域国际顶刊顶会上发表高水平学术论文数十篇、申请/授权国家发明专利数十项、以及获得多种奖励荣誉。欢迎感兴趣的同学联系攻读硕士、博士学位，欢迎优秀本科生加入课题组参与SRTP项目、竞赛、本科毕设、以及接受科研锻炼提高能力水平。 | |||||
学习经历： | |||||
2014/1-2014/12，美国马里兰大学帕克分校，电子与计算机工程系，访问学者 2003/9-2007/4，东南大学，信息科学与工程学院，通信与信息系统专业，博士（提前攻博） 2001/9-2003/8，东南大学，无线电工程系，通信与信息系统专业，硕士 1995/9-1999/7，南京大学，电子科学与工程系，电子学与信息系统专业，本科 | |||||
工作经历: | |||||
2007/5-至今，东南大学，移动通信国家重点实验室 | |||||
教授课程： | |||||
信息论基础（研讨）—本科生专业课（本课程为信息科学专业基础课程，建立学生对信息和信息传输的概念及基本原理的理解，为后续的通信与信号处理的各门专业课奠定扎实的理论基础） 现代无线通信系统—本科生通识课（通过本课程的学习，使学生掌握现代无线通信的基本原理，了解现代传输技术在无线通信系统中的应用及目前无线通信技术发展的概况） 科技写作—研究生课程（本课程旨在培养学生规范而有效的科技写作能力，达到交流学术思想和传播科研成果的目的，通过本门课程的学习，将使学生能够运用准确、鲜明、简练、生动的语言撰写出高质量的科技论文） | |||||
研究方向： | |||||
近年来，课题组在基于人工智能的无线通信技术、基于凸优化的绿色无线通信技术、以及基于随机几何的无线通信网络性能分析等方面取得了若干系统性原创性国际一流科研成果。 近期主要研究方向包括：人工智能在未来无线通信中的应用、6G无蜂窝大规模MIMO传输理论与关键技术、6G超低能耗智能绿色通信理论与关键技术、6G超低时延超高可靠大规模无线传输理论与关键技术、移动边缘智能通信理论与关键技术等。 | |||||
获奖情况： | |||||
[1] 2022，所指导的本科生卞XX获得IEEE通信学会组织的“通信技术改变世界”竞赛“HONORARY MENTION”奖（全球前14名） [2] 2019，所指导的研究生李X获得“中兴通讯公司级优秀毕业生”（0.1%） [3] 2019，所指导的本科生夏XX获得“江苏省优秀本科毕业设计”（1%） [4] 2018，所指导的研究生陈X获得“中国研究生数学建模大赛”一等奖（1%）和“最佳数模报告奖”（0.01%）
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论文著作： | |||||
蒋雁翔博士是IEEE高级会员，中国通信学会和中国电子学会高级会员，中国人工智能学会和中国计算机学会专业会员，担任国际期刊IEEE Access、Wireless Communications and Mobile Computing、EURASIP Journal on Wireless Communications and Networking、Frontiers in Communications and Networks编委（Associate Editor），担任IEEE ICCT 2023 Track Chair、IWCMC 2023 Symposium Chair、IEEE VTC 2022-Fall Track Chair & Session Chair、IEEE GLOBECOM 2018 Session Chair、IEEE VTC 2018-Fall Session Chair、IEEE VTC 2016-Spring Local Patronage and Exhibits Chair，长期担任IEEE TCOM、TWC、TVT、JSAC、JSTSP、WCL、CL等国际一流期刊的审稿人以及IEEE ICC、GLOBECOM、WCNC、VTC、PIMRC、SPAWC等国际主流会议的技术委员会委员。
在IEEE Transactions on Communications、IEEE Transactions on Wireless Communications、IEEE Transactions on Vehicular Technology等通信领域国际顶级期刊和IEEE ICC、GLOBECOM等通信领域国际顶级会议上已发表SCI/EI学术论文100余篇、已申请/授权国际国内发明专利68项；已有多篇论文入选“ESI前1%高被引论文”（Engineering学术领域同一出版年最优秀的前1%之列）；入选“斯坦福全球前2%顶尖科学家”榜单；所发表的众多研究成果获国内外同行广泛引用与高度评价。
新近发表的代表性国际顶级期刊论文：（*代表通信作者） [1] Y. Huang,Y. Jiang*, F.-C. Zheng, P. Zhu, D. Wang, and X. You, “Spectral and Energy Efficiency Trade-off in Cell-free Massive MIMO-aided URLLC System,” Under Review inIEEE Transactions on Vehicular Technology. [2] Q. Tan,Y. Jiang*, Y. Huang,F.-C. Zheng, D. Niyato, and X. You, “Access Points Cooperation Based Secretive Coded Caching in Fog Radio Access Networks,” Under Review in IEEE Transactions on Communications. [3] Q. Chang,Y. Jiang*, Y. Huang,F.-C. Zheng, D. Niyato, and X. You, “Multi-Agent Reinforcement Learning based Cooperative Caching with Low Entropy Communications in Fog-RANs,” Under Review in IEEE Transactions on Communications. [4] Y. Chen,Y. Jiang*, Y. Huang,F.-C. Zheng, D. Niyato, and X. You, “Edge Cooperation Based Coded Caching in Fog Radio Access Networks,” Under Review in IEEE Transactions on Communications. [5] M. Zhang,Y. Jiang*, F.-C. Zheng, D. Wang, M. Bennis,A. Jamalipour, andX. You, “Communication Efficient Federated Reinforcement Learning Method for Cooperative Edge Caching in Fog Radio Access Networks,” under review in IEEE Transactions on Wireless Communications. [6] Y. Huang,Y. Jiang*, F.-C. Zheng, P. Zhu, D. Wang, and X. You, “Energy Efficiency Optimization of User-Centric Cell-free Massive MIMO System for URLLC with Finite Blocklength Communications,” Accepted in IEEE Transactions on Vehicular Technology. [7] J. Yan,M. Zhang,Y. Jiang*, F.-C. Zheng, Q. Chang, K. M. Abualnaja, S. Mumtaz, and X. You,“Deep Reinforcement Learning based Joint Edge Caching and Content Recommendation with Inconsistent File Sizesin Fog-RANs,” Accepted in IEEE Transactions on Vehicular Technology. [8] Q. Tan,Y. Jiang*, L. Zhang,Y. Cui, D. Niyato,F.-C. Zheng, andX. You,“Secretive Coded Caching with Nonuniform Demands in Fog Radio Access Networks,” IEEE Communications Letters,vol. 27, no. 8, pp. 2252-2256, Aug. 2023. [9] S. Wang, G. Chen, Y. Jiang*, and X. You, “A Cluster-based V2V Approach for Mixed Data Dissemination in Urban Scenario of IoVs,” IEEE Transactions on Vehicular Technology, vol. 72, no. 2, pp. 2907-2920, Mar. 2023. [10] Y. Tao, Y. Jiang*, F.-C. Zheng, Z. Wang, P. Zhu, M. Tao, D. Niyato, and X. You, “Content Popularity PredictionBased on Quantized Federated Bayesian Learning in Fog Radio Access Networks,” IEEE Transactions onCommunications, vol. 71, no. 2, pp. 893-907, Feb. 2023. [11] Y. Jiang*, B. Wang, F.-C. Zheng, M. Bennis, and X. You, “Joint MDS Codes and Weighted Graph Based Coded Caching in Fog Radio Access Networks,” IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 6789-6802, Sep. 2022. [12] Y. Jiang*, Y. Wu, F.-C. Zheng, M. Bennis, and X. You, “Federated Learning Based Content Popularity Prediction in Fog Radio Access Networks,” IEEE Transactions on Wireless Communications, vol. 21, no. 6, pp. 3836-3849, Jun. 2022. [13] Y. Jiang*, X. Chen, F.-C. Zheng, D. Niyato, and X. You, “Brain Storm Optimization-Based Edge Caching in Fog Radio Access Networks,” IEEE Transactions on Vehicular Technology, vol. 70, no. 2, pp. 1807-1820, Feb. 2021. [14] Y. Jiang*, C. Wan, M. Tao, F.-C. Zheng, P. Zhu, X. Gao, and X. You, “Analysis and Optimization of Fog Radio Access Networks with Hybrid Caching: Delay and Energy Efficiency,” IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 69-82, Jan. 2021. [15] Y. Jiang*, H. Feng, F.-C. Zheng, D. Niyato, and X. You, “Deep Learning-Based Edge Caching in Fog Radio Access Networks,” IEEE Transactions on Wireless Communications, vol. 19, no. 12, pp. 8442- 8454, Dec. 2020. [16] Y. Jiang*, A. Peng, C. Wan, Y. Cui, X. You, F.-C. Zheng, and S. Jin, “Analysis and Optimization on Cache-enabled Fog Radio Access Networks: Successful Transmission Probability, Fractional Offloaded Traffic and Delay,”IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5219-5231, May 2020. [17] Y. Jiang*, Y. Hu, M. Bennis, F.-C. Zheng, and X. You, “A Mean Field Game-Based Distributed Edge Caching in Fog Radio Access Networks,” IEEE Transactions on Communications, vol. 68, no. 3, pp. 1567-1580, Mar. 2020. [18] Y. Jiang*,W. Huang, M. Bennis, and F.-C. Zheng, “Decentralized asynchronous coded caching design and performance analysis in fog radio access networks,”IEEE Transactions on Mobile Computing, vol. 19, no.3, pp. 540-551, Mar. 2020. [19] Y. Jiang*,P. Li, Z. Ding, F.-C. Zheng, M. Ma, and X. You, “Joint transmitter and receiver design for pattern division multiple access,” IEEE Transactions on Mobile Computing, vol. 18, no. 4, pp. 885-895, Apr. 2019. [20] Y. Jiang*,M. Ma, M. Bennis,F.-C. Zheng, and X. You, “User preference learning based edge caching for fog radio access network,” IEEE Transactions on Communications, vol. 67, no. 2, pp. 1268-1283, Feb. 2019. [21] Y. Jiang*, N. Lu, Y. Chen, F.-C. Zheng, M. Bennis, X. Gao, and X. You, “Energy efficient noncooperative power control in small-cell networks,”IEEE Transactions on Vehicular Technology, vol. 66, no. 8, pp. 7540-7547, Aug. 2017. [22] Y. Jiang*, Q. Liu, F.-C. Zheng, X. Gao, and X. You, “Energy efficient joint resource allocation and power control for D2D communications,” IEEE Transactions on Vehicular Technology, vol. 65, no. 8, pp. 6119-6127, Aug. 2016.
新近发表或录用的代表性国际顶级会议论文：（*代表通信作者） [ICC、GLOBECOM为通信领域两大旗舰国际顶级会议] [1] Y. Huang,Y. Jiang*, F.-C. Zheng,P. Zhu, D. Wang, and X. You, “Energy Efficiency Optimization of User-Centric Cell-free Massive MIMO System for URLLC,” under review in IEEEICC 2024. [2] Y. Lu,Y. Jiang*, L. Zhang,M. Bennis, D. Niyato, and X. You, “Meta Reinforcement Learning-Based Computation Offloading in RIS-aided MEC-enabled Cell-Free RAN,” IEEEICC 2023,May 2023, pp. 1-7. [3] Q. Chang, B. Fan,Y. Jiang*, F.-C. Zheng,M. Bennis, and X. You, “Security-aware Cooperative Caching in Fog Radio Access Networks,” IEEEGLOBECOM 2022 Workshop, Dec. 2022, pp. 1-6.. [4] Y. Wang,Y. Jiang*, F.-C. Zheng,D. Niyato, and X. You, “Cooperative Edge Caching via Federated Deep Deterministic Policy Gradient Learning in Fog-RANs,” IEEEGLOBECOM 2022 Workshop, Dec. 2022, pp. 1-6. [5] L. Zhang, Y. Jiang*, F.-C. Zheng, M. Bennis, and X. You, “Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach,” IEEEICC 2022 Workshop, May 2022, pp. 1-6. [6] Y. Chen,Y. Jiang*, F.-C. Zheng,M. Bennis, and X. You, “Coded Caching via Federated Deep Reinforcement Learning in Fog Radio Access Networks,” IEEEICC 2022 Workshop,May 2022, pp. 1-6. [7] Z. Wang,Y. Jiang*, F.-C. Zheng,M. Bennis, and X. You, “Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach,” IEEEICC 2022,May 2022, pp. 1-6. [8] Q. Chang,Y. Jiang*, F.-C. Zheng,M. Bennis, and X. You, “Cooperative Edge Caching via Multi Agent Reinforcement Learning in Fog Radio Access Networks,” IEEEICC 2022,May 2022, pp. 1-6. [9] Q. Tan,Y. Jiang*, F.-C. Zheng,M. Bennis, and X. You, “MDS Codes Based Group Coded Caching in Fog Radio Access Networks,” IEEEICC 2022,May 2022, pp. 1-6. [10] B. Fan,Y. Jiang*, F.-C. Zheng,M. Bennis, and X. You, “Social-aware Cooperative Caching in Fog Radio Access Networks,” IEEEICC 2022,May 2022, pp. 1-6. [11] Y. Tao, Y. Jiang*, F.-C. Zheng, M. Bennis, and X. You, “Content Popularity Prediction in Fog-RANs: A Bayesian Learning Approach,” IEEEGLOBECOM 2021, Dec. 2021, pp. 1-6. [12] M. Zhang, Y. Jiang*, F.-C. Zheng, M. Bennis, and X. You, “Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs,” IEEE ICC 2021 Workshop,Jun. 2021, pp. 1-6. [13] X. Chen,Y. Jiang*, B. Fan, F.-C. Zheng, D. Niyato, and X. You, “Hierarchical Cooperative Caching in Fog Radio Access Networks: A Brain Storm Optimization Approach,” IEEE GLOBECOM 2020, Dec. 2020, pp. 1-6. [14] Y. Wu,Y. Jiang*, M. Bennis, F.-C. Zheng, X. Gao, and X. You, “Content Popularity Prediction in Fog Radio Access Networks: A Federated Learning Based Approach,” IEEE ICC 2020, Jun. 2020, pp. 1-6. [15] J. Yan,Y. Jiang*, F.-C. Zheng,F. R. Yu, X. Gao, and X. You, “Distributed Edge Caching with Content Recommendation in Fog Radio Access Network via Deep Reinforcement Learning,” IEEE ICC 2020 Workshop, Jun. 2020,pp. 1-6. [16] B. Wang,Y. Jiang*, F.-C. Zheng,M. Bennis, X. Gao, and X. You, “Joint Redundant MDS Codes and Cluster Cooperation Based Coded Caching in Fog Radio Access Networks,” IEEE ICC 2020 Workshop,Jun. 2020, pp. 1-6. [17] C. Wan, Y. Jiang*, F.-C. Zheng, P. Zhu, X. Gao, and X. You, “Delay-Energy Efficiency Tradeoff in Fog Radio Access Networks with Hybrid Caching,” IEEE GLOBECOM 2019 Workshop, Hawaii, USA, Dec. 2019, pp. 1-6. [18] H. Feng, Y. Jiang*, D. Niyato, F.-C. Zheng, and X. You, “Content Popularity Prediction via Deep Learning in Cache-enabled Fog Radio Access Networks,” IEEE GLOBECOM 2019, Hawaii, USA, Dec. 2019, pp. 1-6. [19] C. Xia, Y. Jiang*, M. Peng, F.-C. Zheng, M. Bennis, and X. You, “Cooperative Edge Caching in Fog Radio Access Networks: A Pigeon Inspired Optimization Approach,”IEEE GLOBECOM 2019, Hawaii, USA, Dec. 2019, pp. 1-6. [20] H. Ge, Y. Jiang*, M. Bennis, F.-C. Zheng, and X. You, “Edge Caching Resource Allocation in Fog Radio Access Networks: An Incentive Mechanism based Approach,”IEEE ICC 2019 Workshop, Shanghai, China, May 2019, pp. 1-6. [21] A. Peng, Y. Jiang*, M. Bennis, F.-C. Zheng, and X. You, “Performance Analysis and Caching Design in Fog Radio Access Networks,” IEEE GLOBECOM2018 Workshop, Abu Dhabi, UAE, Dec. 2018, pp.1-6. [22] Y. Jiang*, M. Ma, M. Bennis, F.-C. Zheng, and X. You, “A Novel Caching Policy with Content Popularity Prediction and User Preference Learning in Fog-RAN,” IEEE GLOBECOM2017 Workshop, Singapore, Dec. 2017, pp. 1-6. | |||||
科研项目： | |||||
项目名称 | 项目类别 | 项目时间 | 工作类别 | 项目金额 | |
6G超低时延超高可靠大规模无线传输技术 | 国家重点研发计划 项目 | 2021/12-2024/12 | 应用基础研究 | XX万 | |
亚毫秒时延超可靠无线网络关键技术研究：实际数据测试 | C9高校联合研究 项目 | 2022/1-2023/6 | 产学研 | XX万 | |
雾无线接入网低时延高能效边缘缓存理论方法研究 | 国家自然科学基金 面上项目 | 2020/1-2023/12 | 应用基础研究 | XX万 | |
高能效低延迟无线网络关键技术研究：实际数据测试 | C9高校联合研究 项目 | 2019/6-2020/12 | 产学研 | XX万 | |
雾无线接入网边缘缓存理论方法研究 | 江苏省自然科学基金面上项目 | 2018/7-2021/6 | 应用基础研究 | XX万 | |
雾无线接入网边缘缓存关键理论与技术研究 | 中科院重点实验室 开放课题 | 2018/3-2020/2 | 应用基础研究 | XX万 | |
雾无线接入网边缘缓存关键技术研究 | 国家重点实验室 开放课题 | 2018/3-2020/2 | 应用基础研究 | XX万 | |
5G移动通信系统NGFI关键技术研究 | 国际知名通信企业 联合研究项目 | 2016/2-2018/2 | 产学研 | XX万 | |
5G新型调制编码与高效链路技术研究开发 | 国家863计划项目 | 2015/1-2017/4 | 应用基础研究 | XX万 | |
超蜂窝网络协作机制与资源优化方法 | 国家973计划 重大项目 | 2012/1-2016/10 | 应用基础研究 | XX万 | |
蜂窝移动通信系统终端直通技术研究 | 国家科技重大专项 | 2012/1-2014/6 | 应用基础研究 | XX万 | |
IMT-Advanced中继技术研发 | 国家科技重大专项 | 2009/1-2012/12 | 应用基础研究 | XX万 | |
