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杨阳 ( 副教授 ) 赞
的个人主页 http://teacher.bupt.edu.cn/yangyang1/zh_CN/index.htm
副教授博士生导师硕士生导师

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[21] .Honglin Xiang, Yang Yang*, Gang He, Jingfei Huang, Dazhong He, “Multi-agent deep reinforcement learning based power control and resource allocation for D2D communications,” IEEE Wireless Communications Letters, vol. 11, no. 8, pp. 1659–1663, Aug. 2022.
[22] .Jingfei Huang, Yang Yang*, Longfei Yin, Dazhong He, Qing Yan, “Deep reinforcement learning based power allocation for rate-splitting multiple access in 6G LEO satellite communication system,” IEEE Wireless Communications Letters, vol. 11, no. 10, pp. 2185-2189, Oct. 2022.
[23] .Tingting Li, Yang Yang*, Jemin Lee, Xiaoqi Qin, Jingfei Huang and Gang He, “DCSaNet: Dilated convolution and self-attention-based neural network for channel estimation in IRS-aided multi-user communication system,” IEEE Wireless Communications Letters, vol. 12, no. 7, pp. 1139-1143, July 2023.
[24] .Lingjie Li, Yang Yang*, Lingyan Bao, Zhen Gao, Yongpeng Wu and Honglin Xiang, “Deep reinforcement learning-based downlink beamforming and phase optimization for RIS-aided communication system,” IEEE Wireless Communications Letters, vol. 12, no. 12, pp. 2263-2267, Dec. 2023.
[25] .Jingfei Huang, Yang Yang*, Jemin Lee, Dazhong He and Yonghui Li, “Deep reinforcement learning based resource allocation for RSMA in LEO satellite-terrestrial networks,” IEEE Transactions on Communications, vol. 72, no. 3, pp. 1341-1354, Mar. 2024.
[26] .Yang Yang, Xinyu He, Jemin Lee*, Dazhong He, and Yonghui Li, “Collaborative deep reinforcement learning in 6G integrated satellite-terrestrial networks: Paradigm, solutions, and trends,” IEEE Communications Magazine, to appear, 2024.

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