Honglin Xiang, Jingyi Peng, Zhen Gao, Lingjie Li, Yang Yang, “Multi-agent power and resource allocation for D2D communications: A deep reinforcement learning approach,” in Proc. IEEE 96th Vehicular Technology Conference (IEEE VTC2022-Fall), Beijing, China, Sep. 2022.
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Pre One:Yang Yang, Honglin Xiang, Gang He, Jingfei Huang, Qing Yan, “Optimal Spectrum Reuse of V2V Communications for Maximizing Average Throughput in Vehicular Ad Hoc Networks,” in Proc. IEEE/CIC International Conference on Communications in China (IEEE/CIC ICCC 2021), Xiamen, China, Jul. 2021.
Next One:Yang Yang, Yutong Xin, Zejian Lu, Yong Lee, Kun Zhou, and Jemin Lee, “DiscoCSINet: Dissymmetric convolution neural network for CSI feedback in FDD massive MIMO system,” in Proc. IEEE Global Commun. Conf. (Globecom 2023), Kuala Lumpur, Malaysia, Dec. 2023, pp. 1-6.
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