梁辉 博士，副教授 办公室：瑞鹰国际科技创新园7栋2楼，未来通信网络研究中心201室       电话：13500812535 Email:huiliang@dgut.edu.cn

一、教育背景

2002.09－2006.07  吉林大学，通信工程专业，本科毕业

2006.09－2008.06  吉林大学，通信与信息系统专业，硕士毕业

2008.09－2011.12  吉林大学，通信与信息系统专业，博士毕业

二、工作经历

2012.06－2017.08   吉林大学通信工程学院，讲师

2017.09－2019.07   吉林大学通信工程学院，副教授

2019.08－2020.08   the University of New South Wales, UNSW，EET，国家公派访问学者

2020.10－至今     东莞理工学院电子工程与智能化学院，副教授

三、教学工作

2012年-2019年在吉林大学工作期间，主要讲授的课程有：电路分析基础(2012年－2015年)、数字信号处理(2015年－2019年)、通信原理（2018年-2019年）

2020年起在东莞理工学院，主要讲授的课程有：信息论与编码技术

四、主持的教学研究项目

五、科学研究

主要从事现代通信系统资源分配理论及应用、分布式系统资源调度、云原生网络智能资源交易、人工智能等方面的研究。

（一）主持研究项目

1．基于投影动态系统理论的认知无线网络实时功率分配问题研究，国家自然科学基金委员会，青年基金项目，2016-2018，19万，主持

2．动态环境下认知网络最优功率控制问题研究，吉林省教育厅，面上项目，2016-2018，3万，主持

3．基于控制论和矩阵摄动理论的认知无线电系统动态资源分配问题研究，国家自然科学基金委员会，面上项目，2012-2015，60万，第一参加人

4．时延和干扰不确定的下垫式认知网络动态功率控制研究，吉林省科技厅，面上项目，2018-2020，12万，第一参加人

（二）发表的学术论文和著作

期刊论文：

1. H. Liang, Z. Yang, G. Zhang, and H. Hou, "Resource Allocation for Spa ace-Air-Ground Integrated Networks:A Comprehensive Review," Journal o of Communications and Information Networks, vol. 9, no. 1, pp. 1-23, 2024, doi:10.23919/JCIN.2024.10494938.

2. J. Wang, W. Cheng, W. Zhang, and H. Liang, "Statistical QoS Provision ning Architecture for 6G Satellite-Terrestrial Integrated Networks," Journal of Communications and Information Networks, vol. 9, no. 1, pp. 34-42, 2024, doi:10.23919/JCIN.2024.10494937.

3. H. Liang and W. Zhang, "Stochastic-Stackelberg-Game-Based Edge Service Selection for Massive IoT Networks," IEEE Internet of Things Journal, vol. 10, no. 24, pp. 22080-22095, 2023, doi: 10.1109/JIOT.2023.3303480. (SCI一区)

4. H. Liang, H. Li* and W. Zhang, "A Combinatorial Auction Resource Trading Mechanism for Cybertwin-Based 6G Network," in IEEE Internet of Things Journal, vol. 8, no. 22, pp. 16349-16358, 15 Nov, 2021, Date of Publication: 08 July 2021, doi: 10.1109/JIOT.2021.3095554. (SCI一区)

5. W. Yang, L. Shi, H. Liang*, and W. Zhang, "Trusted Mobile Edge Computing: DAG Blockchain-aided Trust Management and Resource Allocation," IEEE Transactions on Wireless Communications, pp. 1-1, 2023, doi: 10.1109/TWC.2023.3323974. (SCI一区)

6. H. Liang and W. Zhang*, "A Survey and Taxonomy of Resource Allocation Methods in Wireless Networks," in Journal of Communications and Information Networks, vol. 6, no. 4, pp. 372-384, Dec. 2021, doi: 10.23919/JCIN.2021.9663102.

7. H. Liang, X. Zhao* and Z. Li, "Optimal Energy Cooperation Policy in Fusion Center-Based Sustainable Wireless Sensor Networks," in IEEE Transactions on Vehicular Technology, vol. 69, no. 6, pp. 6401-6414, June 2020, Date of Publication: 14 April 2020, doi: 10.1109/TVT.2020.2985704.(SCI二区)

8. Y. Li, X. Zhao and H. Liang*, "Throughput Maximization by Deep Reinforcement Learning With Energy Cooperation for Renewable Ultradense IoT Networks," in IEEE Internet of Things Journal, vol. 7, no. 9, pp. 9091-9102, Sept. 2020, Date of Publication: 16 June 2020. (SCI一区)

9. X. Mu, X. Zhao and H. Liang*, "Power Allocation Based on Reinforcement Learning for MIMO System With Energy Harvesting," in IEEE Transactions on Vehicular Technology, vol. 69, no. 7, pp. 7622-7633, July 2020, Date of Publication: 21 May 2020. (SCI二区)

10. M. Li, X. Zhao, H. Liang* and F. Hu, "Deep Reinforcement Learning Optimal Transmission Policy for Communication Systems With Energy Harvesting and Adaptive MQAM," in IEEE Transactions on Vehicular Technology, vol. 68, no. 6, pp. 5782-5793, June 2019, Date of Publication: 16 April 2019, doi: 10.1109/TVT.2019.2911544. (SCI二区)

11. H. Liu, X. Zhao, H. Liang* and Z. Li, "POMDP-Based Energy Cooperative Transmission Policy for Multiple Access Model Powered by Energy Harvesting," in IEEE Transactions on Vehicular Technology, vol. 68, no. 6, pp. 5747-5757, June 2019, Date of Publication: 11 April 2019, doi: 10.1109/TVT.2019.2910282. (SCI二区)

12. H. Liang and X. Zhao, "Dynamic programming based power control algorithm with primary user QoS guarantee for cognitive radio networks," Chinese Journal of Electronics, vol. 22, no. 2, pp. 353-358, 2013.

13. H. Liang and X. Zhao, "Primary user QoS and activity concerned resource allocation algorithm in OFDM based cognitive radio system," Chinese Journal of Electronics, vol. 22, no. 1, pp. 167-172, 2013.

14. 梁辉 and 赵晓晖, "基于组合投资理论与主用户QoS保证的认知系统资源分配算法," 通信学报, vol. 32, no. 11, pp. 44-50, 2011. （国内核心期刊）

会议论文：

1. H. Liang and W. Zhang, "A Game-Theoretic Access Strategy for Satellite Edge Computing enabled Massive IoT Networks," in GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 4-8 Dec. 2023.

2. W. Yang, L. Shi, H. Liang, and W. Zhang, "Blockchian Empowered Reliable Computation Offloading and Resource Allocation for Mobile Edge Computing Networks," in 2023 IEEE/CIC International Conference on Communications in China (ICCC), 10-12 Aug. 2023 2023, pp. 1-6, doi: 10.1109/ICCC57788.2023.10233572.

3. H. Liang, W. Yang, Q. Li and W. Zhang*, "Poisson Game with Population Uncertainty for Mobile Edge Computing Networks," 2022 IEEE/CIC International Conference on Communications in China (ICCC), Sanshui, Foshan, China, 11-13 Aug. 2022, pp. 878-883, Date of Publication: 22 September 2022, doi: 10.1109/ICCC55456.2022.9880767.

4. H. Liang, W. Yang, Q. Li, and W. Zhang, "Poisson Game with Population Uncertainty for Mobile Edge Computing Networks," in 2022 IEEE/CIC International Conference on Communications in China (ICCC), Sanshui, Foshan, China, 11-13 August 2022: IEEE, 2022, pp. 878-883.

5. H. Liang and W. Zhang*, "A Barter and Combinatorial Auction Based Hierarchical Resource Trade Mechanism for Cybertwin Network," 2020 3rd International Conference on Hot Information-Centric Networking (HotICN), Hefei, China, 12-14 Dec. 2020, pp. 84-89, Date of Publication: 16 February 2021, doi: 10.1109/HotICN50779.2020.9350841.

6. H. Liang, X. Zhao, and W. Zhang, "Optimal power allocations for multichannel energy harvesting cognitive radio," in 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), 12-15 June 2017 2017, pp. 1-6, doi: 10.1109/WoWMoM.2017.7974325.

7. S. Pan, X. Zhao, and H. Liang, "Robust power allocation with SINR target based on Lyapunov stability approach for cognitive radio networks," in 2017 23rd Asia-Pacific Conference on Communications (APCC), 11-13 Dec. 2017 2017, pp. 1-6, doi: 10.23919/APCC.2017.8304018.

8. H. Liang, X. Zhao, and C. Zhang, "Fair adaptive resource allocation in NC-OFDM based cognitive radio system," in 2010 International Conference on Wireless Communications & Signal Processing (WCSP), 21-23 Oct. 2010 2010, pp. 1-5, doi: 10.1109/WCSP.2010.5633754.

9. H. Liang and X. Zhao, "Optimal power allocation for energy harvesting cognitive radio networks with primary rate protection," in 2016 International Conference on Computing, Networking and Communications (ICNC), 15-18 Feb. 2016 2016, pp. 1-6, doi: 10.1109/ICCNC.2016.7440658.

六、指导研究生

现为东莞理工学院硕士生导师，2024年招收电子信息领域专业硕士研究生1人。