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Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Networks.

N. Zhao, Y. Liang, D. Niyato, Y. Pei, and Y. Jiang. GLOBECOM, page 1-6. IEEE, (2018)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Karsten Peissner University of Stuttgart

Carlos Peiro Frasquet University of Stuttgart

Dr. rer. pol. Katharina Peine University of Stuttgart

Matthias Peiretti University of Stuttgart

Andreas Peil University of Stuttgart

Other publications of authors with the same name

Cooperative spectrum sharing with bi-directional secondary transmissions.Y. Pei, and Y. Liang. GLOBECOM Workshops, page 964-968. IEEE, (2012)Dynamic spectrum assignment for white space devices with dynamic and heterogeneous bandwidth requirements.Y. Pei, Y. Ma, E. Peh, S. Oh, and M. Tao. WCNC, page 36-40. IEEE, (2015)Modulation in the Air: Backscatter Communication over Ambient OFDM Carrier.G. Yang, Y. Liang, R. Zhang, and Y. Pei. CoRR, (2017)Modulation in the Air: Backscatter Communication Over Ambient OFDM Carrier.G. Yang, Y. Liang, R. Zhang, and Y. Pei. IEEE Trans. Communications, 66 (3): 1219-1233 (2018)Robust Modulation Classification under Uncertain Noise Condition Using Recurrent Neural Network.S. Hu, Y. Pei, P. Liang, and Y. Liang. GLOBECOM, page 1-7. IEEE, (2018)Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks.N. Zhao, Y. Liang, D. Niyato, Y. Pei, M. Wu, and Y. Jiang. IEEE Trans. Wireless Communications, 18 (11): 5141-5152 (2019)Deep Neural Network for Robust Modulation Classification Under Uncertain Noise Conditions.S. Hu, Y. Pei, P. Liang, and Y. Liang. IEEE Trans. Vehicular Technology, 69 (1): 564-577 (2020)Reconfigurable Intelligent Surface Based Uplink Massive MIMO Symbiotic Radio System.J. Hu, Y. Pei, Y. Liang, and S. Sun. GLOBECOM, page 1-6. IEEE, (2021)Pricing Model for TV White Spaces Channels With Different Priorities.E. Peh, S. Oh, Y. Ma, M. Tao, and Y. Pei. IEEE Wireless Commun. Letters, 4 (4): 401-404 (2015)Gaussian Mixture Model for Millimeter-Wave Cellular Communication Networks.X. Liu, J. Xu, Y. Pei, and Y. Liang. IEEE Trans. Vehicular Technology, 68 (4): 3174-3188 (2019)

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Disambiguation of "Pei, Yiyang"

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URL
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Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Networks.

Please choose a person to relate this publication to

Karsten Peissner University of Stuttgart

Carlos Peiro Frasquet University of Stuttgart

Dr. rer. pol. Katharina Peine University of Stuttgart

Matthias Peiretti University of Stuttgart

Andreas Peil University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Pei, Yiyang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Networks.

Please choose a person to relate this publication to

Karsten Peissner University of Stuttgart

Carlos Peiro Frasquet University of Stuttgart

Dr. rer. pol. Katharina Peine University of Stuttgart

Matthias Peiretti University of Stuttgart

Andreas Peil University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Networks.