南京航空航天大学主页平台管理系统 Wang Junhua--Home-- Energy-Efficient Mode Selection and Resource Allocation for D2D-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach

王俊华Associate Professor

王俊华，副教授，硕士生导师，2014年获重庆大学学士学位，2014至2019年在重庆大学与美国休斯顿大学进行联合培养博士研究并获博士学位。2015年前往韩国大邱庆北科学技术院进行短期学术访问。从博士阶段起，长期从事车路协同通信与计算、自动驾驶C-V2X通信技术研究。获国家自然科学基金青年基金项目（2020）、江苏省自然科学基金青年基金项目（2020）、中国博士后科学基金第67批面上资助（2020），并获得ACM重庆分会优秀博士论文...Detials

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Energy-Efficient Mode Selection and Resource Allocation for D2D-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach

Release time:2022-09-15 Hits:

Journal:IEEE Transactions on Wireless Communications
Indexed by:Journal paper
Discipline:Engineering
Document Type:J
Volume:20
Issue:2
Page Number:1175-1187
Translation or Not:no
Included Journals:EI、SCIE
Co-author:Tao Zhang, Kun Zhu and Junhua Wang
Date of Publication:2021-02-15

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