黄晓舸，工学博士，重邮通信学院教授/博导。2013年于西班牙瓦伦西亚大学博士毕业，优秀博士论文，优秀博士毕业生，重庆邮电大学文峰青年百人，移动通信技术重庆市高校重点实验室副主任，入选“2022年重庆市留学人员回国创业创新支持计划”，全国高校黄大年式教师团队成员，中国电子学会高级会员,中国科协重庆海智青委会委员。国际著名期刊，顶级会议审稿人，国家自然科学基金同行评议专家。

当前研究方向为基于5G新空口的融合组网技术，基于人工智能和区块链的智能物联网技术。近年来,主持参与国家级、省部级自然科学基金项目10余项，发表SCI, EI检索学术论文40余篇，其中，在国际顶级SCI期刊及国内权威期刊以第一作者发表学术论文20余篇，2篇被评为会议优秀论文。授权专利20余项。部分研究成果获重庆市科技奖一等奖, 并实现成果转化。

《通信原理》全英文课程获评2022年重庆市来华留学一流本科课程。承担省部级、校级等教育教学改革项目6项。获国家级、省部级等教学竞赛奖8项,获重庆邮电大学优秀教师等荣誉。指导学生参加“互联网+”全国大学生创新创业大赛获国家级银奖、铜奖，指导学生参加大唐杯、蓝桥杯等科技竞赛获多项省部级奖项、多项重庆邮电大学校级本科学位论文奖项，指导两人获得英国brunel大学博士全额奖学金。目前指导在读硕士研究生16人,在读留学生研究生1人，博士生1人。指导学生4人获得重庆邮电大学校级优秀硕士毕业论文，5人获得重庆邮电大学优秀研究生，8人次获国家奖学金/特等奖学金，3人攻读博士。

研究领域：

(1) 5G、6G通信，感通算融合网络；

(2) 云计算/移动边缘计算缓存与任务卸载技术

(3) 物联网、车联网,无人机；

(4) 区块链、人工智能。

主持及参与国家级及省部级科研项目10余项：

(1) 国家自然科学基金面上项目, “可信边缘原生智能数据共享理论与技术研究”，2024.01-2027.12(No.62371082),项目负责人。

(2) 重庆市科委面上项目,“通算资源深度协同边缘网络数据安全理论与技术研究”，2023.07-2025.07 (CSTB2023NSCQ-MSX0726)，项目负责人。

(3) 产学研合作项目，“3GPP R17 NR NTN 技术标准化进展研究”，2022.2-2023.5，项目负责人。

(4) 重庆市留学人员回国创业创新支持计划，“智能边缘网络安全验证平台研究”, 2022.07-2024.04, 项目负责人。

(5) 国家自然科学基金项目,“多天线认知无线电网络中基于动态频谱检测的最优化资源分配算法和理论性能研究”, 2015.1-2017.12(No.61401053), 项目负责人。

(6) VIVO产学研合作项目” 基于5G的多网络融合业务连续性技术研究”. 2017.04-2018.4, 项目负责人。

(7) 重庆市基础研究与前沿探索项目,“5G 蜂窝异构网络LTE-U 与WiFi 共存方案研究”,2018.7-2021.7 (No. cstc2018jcyjAX0383), 项目负责人。

(8) 国家自然科学基金重点项目, “面向智能服务的雾无线接入网络动态协同理论与关键技术”,2019.1-2023.12(No.61831002), 技术负者人。

(9) 重庆邮电大学博士启动基金，LTE双频段接入策略与资源分配方案研究，2018.1-2020.12 (E010A2018006)，项目负责人。

(10) 欧盟H2020地平线项目“Indoor small-cell Networks with 3D MIMO Array Antennas, 3D MIMO Antenna array of indoor small cellular networks”, 2017.01-2018.12 (734798 - is3DMIMO - MSCA-RISE)，主研。

硕士生招生要求：（优先招收硕博连读学生）

1. 学习积极主动，做事认真踏实, 具有团队合作意识和自我约束能力；

2. 科研上具有独立研究、分析、解决问题的能力，并且愿意与导师、同学协同工作；

3. 熟悉无线通信系统，掌握本科阶段的通信及数学基础课程。

4. 较好的英语阅读和写作能力，较好数理基础和计算机编程能力，有相关获奖者优先。

欢迎具有保研、校内外优秀学生报考，请将个人简历、成绩单及相关证书发到邮箱：huangxg@cqupt.edu.cn

硕士生待遇福利：

1. 培养发表国内外高水平论文及攻读博士学位的能力；

2. 一流的科研设备和环境。

3. 参与项目学生每月有固定科研津贴，根据研究成果团队有额外科研津贴。

4. 全程资助参加国际顶级学术会议（发表论文）。

近5年发表SCI期刊论文：

[1] X. Huang, L. Wang, Y. He and Q. Chen, "Actor-Critic-Based UAV-Assisted Data Collection in the Wireless Sensor Network," in China Communications, 2023.（SCI二区）

[2] H. Yin, X. Huang, Y. Wu, C. Liang and Q. Chen, "Multi-Region Asynchronous Swarm Learning for Data Sharing in Large-Scale Internet of Vehicles," in IEEE Communications Letters, vol. 27, no. 11, pp. 2978-2982, Nov. 2023, doi: 10.1109/LCOMM.2023.3314662.（SCI二区）

[3] X. Huang, H. Yin, Q. Chen, Y. Zeng and J. Yao, "DAG-Based Swarm Learning (DSL): A Secure Asynchronous Learning Framework for Internet of Vehicles," in Digital Communications and Networks, 2023.（SCI二区）

[4] X. Huang, Y. Wu, C. Liang, Q. Chen and J. Zhang, "Distance-Aware Hierarchical Federated Learning in Blockchain-Enabled Edge Computing Network," in IEEE Internet of Things Journal, vol. 10, no. 21, pp. 19163-19176, 1 Nov.1, 2023, doi: 10.1109/JIOT.2023.3279983.（SCI一区Top）

[5] X. Huang, Z. Chen, Q. Chen and J. Zhang, "Federated learning based QoS-aware caching decisions in fog-enabled internet of things networks," in Digital Communications and Network, vol. 9, no. 2, pp. 580-589, 2023, doi: 10.1016/j.dcan.2022.04.022.（SCI二区）

[6] X. Huang, X. Yang, Q. Chen and J. Zhang, "Task Offloading Optimization for UAV-Assisted Fog-Enabled Internet of Things Networks," in IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1082-1094, 15 Jan.15, 2022, doi: 10.1109/JIOT.2021.3078904.（SCI一区Top）

[7] X. Huang, Y. Cui, Q. Chen and J. Zhang, "Joint Task Offloading and QoS-Aware Resource Allocation in Fog-Enabled Internet-of-Things Networks," in IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7194-7206, Aug. 2020, doi: 10.1109/JIOT.2020.2982670.（SCI一区Top）

[8] X. Huang, W. Fan, Q. Chen and J. Zhang, "Energy-Efficient Resource Allocation in Fog Computing Networks With the Candidate Mechanism," in IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8502-8512, Sept. 2020, doi: 10.1109/JIOT.2020.2991481.（SCI一区Top）

[9] X. Huang, K. Xu, C. Lai, Q. Chen and J. Zhang, "Energy-Efficient Offloading Decision-Making for Mobile Edge Computing in Vehicular Networks," in EURASIP Journal on Wireless Communications and Networking, vol. 2020, no. 1, pp. 1-16, Feb. 2020, doi: 10.1186/s13638-020-1652-5.（SCI三区）

[10] X. Huang, S. Tang, D. Zhang, Q. Chen and J. Zhang, "Geometric Approach Based Resource Allocation in Heterogeneous Cellular Networks," in IEEE Transactions on Vehicular Technology, vol. 68, no. 12, pp. 11902-11914, Dec. 2019, doi: 10.1109/TVT.2019.2946718.（SCI二区Top）

[11] X. Huang, C. Cao, X. Fan and Q. Chen, "User Assisted Dynamic RAN Notification Area Configuration Scheme Based on Delay Sensitivity for 5G Inactive UEs," in IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 2671-2683, March 2020, doi: 10.1109/TVT.2019.2963116.（SCI二区Top）

[12] X. Huang, D. Zhang, S. Tang, Q. Chen and J. Zhang, "Fairness-Based Distributed Resource Allocation in Two-Tier Heterogeneous Networks," in IEEE Access, vol. 7, pp. 40000-40012, 2019, doi: 10.1109/ACCESS.2019.2905038.（SCI二区Top）

[13] X. Huang, D. Zhang, W. Dai, S. Tang, "Energy-Efficiency of Distributed Antenna Systems Relying on Resource Allocation," in KSII Transactions on Internet and Information Systems, vol. 13, no. 3, pp. 1325-1344, 2019. DOI: 10.3837/tiis.2019.03.012.（SCI四区）

[14] X. Huang, C. Cao, Y. Li and Q. Chen, "Opportunistic Resource Scheduling for LTE-Unlicensed With Hybrid Communications Modes," in IEEE Access, vol. 6, pp. 47857-47869, 2018, doi: 10.1109/ACCESS.2018.2867427.（SCI二区Top）

[15] X. Huang, S. Tang, Q. Zheng, D. Zhang and Q. Chen, "Dynamic Femtocell gNB On/Off Strategies and Seamless Dual Connectivity in 5G Heterogeneous Cellular Networks," in IEEE Access, vol. 6, pp. 21359-21368, 2018, doi: 10.1109/ACCESS.2018.2796126.（SCI二区Top）

[16] X. Huang, Y. Li, S. Tang and Q. Chen, "Coexistence of cognitive small cell and WiFi system: A traffic balancing dual-access resource allocation scheme," in Wireless Communications and Mobile Computing, vol. 2018, pp. 1-17, 2018, doi: 10.1155/2018/4092681.（SCI四区）

[17] X. Huang, L. Shi, C. Zhang, D. Zhang and Q. Chen, "Distributed resource allocation with imperfect spectrum sensing information and channel uncertainty in cognitive femtocell networks," in EURASIP Journal on Wireless Communications and Networking, vol. 2017, no. 1, pp. 1-13, 2018, doi: 10.1186/s13638-017-0985-1.（SCI三区）

[18] X. Huang, L. Chen, Q. Chen and B. Shen, "Coalition based Optimization of Resource Allocation with Malicious User Detection in Cognitive Radio Networks," in KSII Transactions on Internet and Information Systems, vol. 10, no. 10, pp. 4661-4680, 2016.（SCI四区）

[19] 黄晓舸，樊伟伟，曹春燕，陈前斌. "小蜂窝网络中不活跃用户的最优能量效率资源分配方案." 电子与信息学报 42.3 (2020): 637-644.（中文A类期刊）

[20] 黄晓舸, 刘鑫, 何勇, 陈前斌. "基于区块链的雾网络中的任务卸载优化方案研究." 电子与信息学报 44.7 (2022): 2440-2448.（中文A类期刊）

[21] 黄晓舸, 何勇, 陈前斌，张杰. "无人机群辅助的数据采集能耗优化方法." 电子与信息学报 45.6 (2023): 2054-2062.（中文A类期刊）

[22] 黄晓舸，邓雪松，陈前斌，张杰. "边缘计算网络中区块链赋能的异步联邦学习算法." 电子与信息学报 45.7 (2023): 1-9.（中文A类期刊）

近5年发表IEEE会议文:

[1] X. Huang, W. Li, Y. Ren and Q. Chen, "Blockchain-based Federated Learning with Malicious Attacks in Fog Computing Networks," Communications and Networking: 18th EAI International Conference, 2023.

[2] X. Huang, Z. Nie, W. Li and Q. Chen, "Analytic Hierarchy Process Based Cell Reselection for Inactive Users in LEO Satellite Networks," Communications and Networking: 18th EAI International Conference, 2023.

[3] X. Huang, C. Yu, F. Wang and Q. Chen, "Hierarchical Federated Learning for Collaborative Caching in Fog Computing," 2023 15th International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, China, 2023.

[4] X. Huang, Y. Luo, H. Liu and Q. Chen, "Resource Allocation and 3D Trajectory Optimization for Relay Communication of UAV," 2023 15th International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, China, 2023.

[5] X. Huang, Y. Luo, X. Yang and Q. Chen, "Energy Consumption Optimization for UAV-Assisted Communication by Trajectory Design," 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023, pp. 1-5, doi: 10.1109/VTC2023-Spring57618.2023.10199220.

[6] X. Huang, X. Deng, Q. Chen and J. Zhang, "AFLChain: Blockchain-enabled Asynchronous Federated Learning in Edge Computing Network," 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023, pp. 1-5, doi: 10.1109/VTC2023-Spring57618.2023.10199280.

[7] X. Huang, Y. Ren, Y. He and Q. Chen, "Malicious Models-based Federated Learning in Fog Computing Networks," 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, 2022, pp. 192-196, doi: 10.1109/WCSP55476.2022.10039266.

[8] X. Huang, Y. Wu, Z. Chen, Q. Chen and J. Zhang, "Blockchain-enabled Edge Computing Framework for Hierarchic Cluster-based Federated Learning," 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, 2022, pp. 33-37, doi: 10.1109/WCSP55476.2022.10039121.

[9] X. Huang, H. Yin, Y. Wang, Q. Chen and J. Zhang, "Location-Based Reliable Sharding in Blockchain-Enabled Fog Computing Networks," 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, 2022, pp. 12-16, doi: 10.1109/WCSP55476.2022.10039136.

[10] X. Huang, Y. Wang, Q. Chen and J. Zhang, "Security Analyze with Malicious Nodes in Sharding Blockchain Based Fog Computing Networks," 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Norman, OK, USA, 2021, pp. 1-5, doi: 10.1109/VTC2021-Fall52928.2021.9625276.

[11] X. Huang, X. Liu, Q. Chen and J. Zhang, "Resource Allocation and Task Offloading in Blockchain-Enabled Fog Computing Networks," 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Norman, OK, USA, 2021, pp. 01-05, doi: 10.1109/VTC2021-Fall52928.2021.9625193.

[12] X. Huang, C. Zhi, Q. Chen and J. Zhang, "Blockchain-Enabled Clustered Federated Learning in Fog Computing Networks," 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Norman, OK, USA, 2021, pp. 1-5, doi: 10.1109/VTC2021-Fall52928.2021.9625303.

[13] X. Huang, K. Xu, Y. Liu and Q. Chen, "Resource Scheduling for LTE in Unlicensed Bands with Delay Priority," 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Turkey, 2019, pp. 1-6, doi: 10.1109/PIMRC.2019.8904441.

[14] X. Huang, C. Lai, K. Xu and Q. Chen, "Energy-Efficient Resource Allocation in Heterogeneous Vehicular Networks," 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), Xi'an, China, 2019, pp. 1-6, doi: 10.1109/WCSP.2019.8928077.

[15] X. Huang, S. Tang, D. Zhang and Q. Chen, "Cluster-based dynamic FBSs on/off scheme in heterogeneous cellular networks," Communications and Networking: 13th EAI International Conference, Chengdu, China, 2018, pp. 325--335, doi: 10.1007/978-3-030-06161-6_32.

[16] X. Huang, D. Zhang, S. Tang and Q. Chen, "Fairness-Based Distributed Resource Allocation in Cognitive Small Cell Networks," Communications and Networking: 13th EAI International Conference, Chengdu, China, 2018, pp. 353--362, doi: 10.1007/978-3-030-06161-6_35.

[17] C. Cao, X. Huang, X. Fan and Q. Chen, "User Assisted Dynamic RAN Notification Area Configuration Scheme for 5G Inactive UEs," Communications and Networking: 13th EAI International Conference, Chengdu, China, 2018, pp. 214–224, doi: 10.1007/978-3-030-06161-6_21.

[18] X. Huang, K. Xu, S. Liu and Q. Chen, "LAT-based Coexistence Scheme of LTE-U with WiFi in the Unlicensed Band," 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, Italy, 2018, pp. 1-5, doi: 10.1109/PIMRC.2018.8580776.

发表专利:

1. 黄晓舸，许可，崔艺凡，陈前斌，一种车联网内容缓存决策优化方法，公开号：2020101028724

2. 黄晓舸，赖晨彬，许可，陈前斌，一种车联网链路选择和资源分配方法，公开号：2020101024901

3. 黄晓舸，樊伟伟，许可，陈前斌，一种基于SDN的雾网络任务卸载方法，已受理 201910502165.1

4. 黄晓舸，赖晨彬，崔艺凡，陈前斌，一种车辆网中基于能量收集的链路选择和资源分配方法，已受理  201910502164.7

5. 黄晓舸，崔艺凡，张东宇，陈前斌，一种面向物联网的雾计算任务卸载方法，已受理  2019052102003900

6. 黄晓舸，汤涉，张东宇，陈前斌，一种基于簇和几何注水资源分配的网络能效提升方法，已受理  2019042301842780

7. 黄晓舸，张东宇，汤涉，陈前斌，基于 5G 移动边缘计算的任务卸载和资源分配联合优化方法，已受理  2019042401859790

8. 黄晓舸，曹春燕,范夏言，陈前斌，一种5G小蜂窝网络中基于用户移动性的资源分配方法，已受理 2019041101666890

9. 黄晓舸，赖晨彬，许可，陈前斌，一种基于小蜂窝辅助的车联网传输方法，已受理 2019030400869390

10. 黄晓舸，许可，赖晨彬，陈前斌，一种移动边缘计算辅助车辆任务卸载方法，已受理 2018122100597070

11. 黄晓舸，张东宇，汤涉，陈前斌，一种5G网络中基于MEC辅助的数据分流方法，已受理 2018030601010490

12. 黄晓舸，刘莹莹，李扬扬，陈前斌，一种多运营商场景下LTE-U和WiFi的共存方法，已受理 2018042601637760

13. 黄晓舸，李扬扬，刘莹莹，陈前斌，一种基于Lyapunov的多运营商LTE-U双频段资源配置方法，已受理  2018030601010490

14. 黄晓舸，李扬扬，刘莹莹，陈前斌，一种用于多运营商场景下基于LAT的LTE-U与WiFi共存机制，已受理  2018011801334980

15. 黄晓舸，刘莹莹，李扬扬，陈前斌，一种基于增强型Q-learning算法的LTE-U和WiFi在未授权频段的共存机制，已授权 2017120601684090

16. 黄晓舸，张志芳，代伟朋，陈前斌，蜂窝异构网络能效优化的资源分配方案，已授权 201610898100X

17. 黄晓舸，刘思嘉，李扬扬，陈前斌，非授权频段LTE-U和WiFi系统基于Q算法的动态占空比共存方法，已受权 2016108348106

18. 黄晓舸，代伟朋，张志芳，陈前斌，分布式天线系统中基于能效的联合资源分配方法，已授权 201610832608X

19. 黄晓舸，朱帆，申滨，陈丽萍，陈前斌，一种基于LTE的认知小蜂窝双重资源分配和干扰管理方法，已授权 201510830212.7

20.黄晓舸，许可，樊伟伟，陈前斌，一种车联网中基于移动边缘计算的内容缓存决策和资源分配联合优化方法，已受理 201910580120.6

移动通信重点实验室