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Stochastic Geometry Based Hierarchical Power Allocation for the Uplink Ultra-Dense Networks.

M. Liu, Y. Teng, N. An, M. Song, and L. Wang. ICCAIS, page 205-209. IEEE, (2018)

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Cross-layer optimization and analysis for overlay cognitive radio.Y. Teng, H. Xu, V. Schober, and M. Song. GLOBECOM, page 870-875. IEEE, (2014)An energy efficiency heuristic algorithm for joint optimization in cognitive radio networks.Y. Teng, and H. Xu. ICC Workshops, page 469-473. IEEE, (2013)Mobility-Aware Transmit Beamforming for Ultra-Dense Networks With Sparse Feedback.Y. Teng, W. Sun, A. Liu, R. Yang, and V. Lau. IEEE Trans. Vehicular Technology, 68 (2): 1968-1972 (2019)Performance Optimization for Blockchain-Enabled Industrial Internet of Things (IIoT) Systems: A Deep Reinforcement Learning Approach.M. Liu, F. Yu, Y. Teng, V. Leung, and M. Song. IEEE Trans. Industrial Informatics, 15 (6): 3559-3570 (2019)Reinforcement-Learning-Based Double Auction Design for Dynamic Spectrum Access in Cognitive Radio Networks.Y. Teng, F. Yu, K. Han, Y. Wei, and Y. Zhang. Wireless Personal Communications, 69 (2): 771-791 (2013)Performance Analysis with Different Sensing Results in the Cognitive Radio Networks.Y. Teng, Y. Xiao, G. Cheng, Y. Zhang, and M. Song. ICPCA/SWS, volume 7719 of Lecture Notes in Computer Science, page 477-481. Springer, (2012)A Detection Method for Handover-Related Radio Link Failures Based on SVM.W. Qin, Y. Teng, Y. Man, S. Yu, and Y. Zhang. ICPCA/SWS, volume 8351 of Lecture Notes in Computer Science, page 476-486. Springer, (2013)Scheme of Cognitive Channel Allocation for Multiple Services without Spectrum Handover.H. Xu, Y. Teng, M. Song, Y. Wei, and Y. Zhang. ICPCA/SWS, volume 7719 of Lecture Notes in Computer Science, page 659-671. Springer, (2012)Stochastic Geometry Based Hierarchical Power Allocation for the Uplink Ultra-Dense Networks.M. Liu, Y. Teng, N. An, M. Song, and L. Wang. ICCAIS, page 205-209. IEEE, (2018)Radial Velocity Based CoMP Handover Algorithm in LTE-A System.D. Xi, M. Liu, Y. Teng, and M. Song. ChinaCom (2), volume 210 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 401-410. Springer, (2016)

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Stochastic Geometry Based Hierarchical Power Allocation for the Uplink Ultra-Dense Networks.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Stochastic Geometry Based Hierarchical Power Allocation for the Uplink Ultra-Dense Networks.

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Stochastic Geometry Based Hierarchical Power Allocation for the Uplink Ultra-Dense Networks.