Deep learning

Deep Learning for Real-Time Energy-Efficient Power Control in Mobile Networks

Matthiesen, B.., A. Zappone, E.. A. Jorswieck, and M. Debbah, "Deep Learning for Real-Time Energy-Efficient Power Control in Mobile Networks", SPAWC, Cannes, France, Submitted.

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Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems

Huang, C.., G.. C. Alexandropoulos, A. Zappone, C.. Yuen, and M. Debbah, "Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems", Internation Conference on Communications (ICC), Shanghai, China, 2019.

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DNN_Calibration_V1.12.pdf

Deep Learning Based Online Power Control For Large Energy Harvesting Networks

Sharma, M.. K., A.. Zappone, M.. Debbah, and M.. Assaad, "Deep Learning Based Online Power Control For Large Energy Harvesting Networks", ICASSP 2019, Brighton, UK, 2019.

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Mohit_MAC_deep_learning_ICASSP2019_Camera_ready.pdf

Deep Learning for Energy Efficiency Maximization in Wireless Interference Networks

Matthiesen, B.., A.. Zappone, E.. Jorswieck, and M. Debbah, "Deep Learning for Energy Efficiency Maximization in Wireless Interference Networks", IEEE Journal on Selected Areas in Communications, 2018, Submitted.

User Association and Load Balancing for Massive MIMO through Deep Learning

Zappone, A., L. Sanguinetti, and M. Debbah, "User Association and Load Balancing for Massive MIMO through Deep Learning", 52nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 2018.

A deep Learning Framework for Power Allocation in Massive MIMO

Zappone, A., L. Sanguinetti, and M. Debbah, "A deep Learning Framework for Power Allocation in Massive MIMO", 52nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 2018.