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Deep Reinforcement Learning Coordinated Receiver Beamforming for Millimeter-Wave Train-Ground Communications.

, , , , , , , , and . IEEE Trans. Veh. Technol., 71 (5): 5156-5171 (2022)

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Neighboring gray level dependence matrix for texture classification., and . Computer Graphics and Image Processing, 20 (3): 297 (1982)Random Access Preamble Generation and Procedure Design for 5G-NR System., , , , and . GLOBECOM Workshops, page 1-5. IEEE, (2018)XoT: A Flexible Block I/O Data Transfer Protocol for Xen., , , , , and . SpaCCS Workshops, volume 10658 of Lecture Notes in Computer Science, page 791-800. Springer, (2017)Energy-efficient uplink training design for closed-loop MISO systems., , , and . WCNC, page 2548-2553. IEEE, (2013)Neighboring gray level dependence matrix for texture classification., and . Computer Vision, Graphics, and Image Processing, 23 (3): 341-352 (1983)Massive MIMO or small cell network: Who is more energy efficient?, , , and . WCNC Workshops, page 24-29. IEEE, (2013)An efficient CDI acquisition scheme facilitating large scale antenna systems., , , , and . GlobalSIP, page 300-304. IEEE, (2015)Channel Estimation Using Dual-Dependent Pilots in FBMC/OQAM Systems., , , , , and . IEEE Communications Letters, 20 (11): 2157-2160 (2016)DBEFT: A Dependency-Ratio Bundling Earliest Finish Time Algorithm for Heterogeneous Computing., , , , , , and . IEEE Access, (2019)Global Hopf bifurcation analysis on a BAM neural network with delays., and . Mathematical and Computer Modelling, 45 (1-2): 61-67 (2007)