团队代表性论文：

[1] Zhao, J. , Nie, Y. , Ni, S. , & Sun, X. Traffic data imputation and prediction: an efficient realization of deep learning. IEEE Access, 8, 46713-46722. 2020. SCI检索（二区）；

[2] Liao J., Zhao J., Gao F. and Li G. Y., A Model-Driven Deep Learning Method for Massive MIMO Detection, IEEE Communications Letters, vol. 24, no. 8, pp. 1724-1728, Aug. 2020,2020. SCI检索（三区）；

[3] B, J. Z. A. , A, P. D. , B, X. M. , B, X. S. , & A, D. Z.. Mobile-aware and relay-assisted partial offloading scheme based on parked vehicles in b5g vehicular networks. Physical Communication, 42. 2020. SCI检索（四区）；

[4] Wang, D. , Liu, J. , & Yao, D.. An energy-efficient distributed adaptive cooperative routing based on reinforcement learning in wireless multimedia sensor networks. Computer Networks, 107313. 2020. SCI检索（三区）；

[5] Nie, X. , Zhang, J. , Zhou, T. , Li, X. , & Wang, Y.. Location-aware cross-tier cooperation for massive mimo heterogeneous networks. IEEE Wireless Communication Letters, PP(99), 1-1. 2020. SCI检索（二区）；

[6] Yao, Y. , Zhao, J. , & Wu, L. Optimizing transmit sequence and instrumental variables receiver for dual-function complexity system. Complexity, 2020. SCI检索（二区）；

[7] Zhao, J. , Ni, S. , Yang, L. , Zhang, Z. , Gong, Y. , & You, X. Multiband cooperation for 5g hetnets: a promising network paradigm. IEEE Vehicular Technology Magazine, 14(4), 85-93.2019. SCI检索（一区）；

[8] Ni, S. , Zhao, J. , Yang, H. H. , & Gong, Y. Enhancing downlink transmission in mimo hetnet with wireless backhaul. IEEE Transactions on Vehicular Technology, 68(7), 6817-6832. 2019. SCI检索（二区）；

[9] Zhao, J. , Li, Q. , Gong, Y. , & Zhang, K. Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks. IEEE Transactions on Vehicular Technology, 68(8), 7944-7956. 2019. SCI检索（二区）；

[10] Yang, L. , Zhao, J. , Gao, F. , & Gong, Y. Cluster-based joint resource allocation with successive interference cancellation for ultra-dense networks. Mobile Networks and Applications(2). 2019. SCI检索（三区）；

[11] Li, Q. , Zhao, J. , Gong, Y. , & Zhang, Q. Energy-efficient computation offloading and resource allocation in fog computing for internet of everything. China Communications. 2019. SCI检索（三区）；

[12] Zhao, J. , Liu, J. , Ni, S. , & Gong, Y. Enhancing transmission on hybrid precoding based train-to-train communication. Mobile Networks and Applications(11). 2019. SCI检索（三区）；

[13] Tianyi, Y. , Junhui, Z. , & Yi, G. Uav-aided localization algorithm with relay for train-mounted mobile terminals. Physical Communication, 34(JUN.), 227-234. 2019. SCI检索（三区）；

[14] Wang, D. , Zhang, Q. , Liu, J. , & Yao, D. A novel qos-awared grid routing protocol in the sensing layer of internet of vehicles based on reinforcement learning. IEEE Access, PP(99), 1-1. 2019. SCI检索（二区）；

[15] Zhou, T. , Zhao, J. , Qin, D. , Li, X. , & Yang, L. Joint user association and time partitioning for load balancing in ultra-dense heterogeneous networks. Mobile Networks & Applications(4). 2019. SCI检索（三区）；

[16] Yao, Junhui, Zhao, & Lenan. Multiple targets tracking with big data-based measurement for extended binary phase shift keying transceiver. Big data. 2019. SCI检索（三区）；

[17] Denghui Wang, Jian Liu, Dezhong Yao,An energy-efficient distributed adaptive cooperative routing based on reinforcement learning in wireless multimedia sensor networks,Computer Networks.2019. EI检索。