Wireless power control via counterfactual optimization of graph neural networks
N Naderializadeh, M Eisen… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
We consider the problem of downlink power control in wireless networks, consisting of
multiple transmitter-receiver pairs communicating with each other over a single shared …
multiple transmitter-receiver pairs communicating with each other over a single shared …
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
N Naderializadeh, M Eisen, A Ribeiro - arXiv preprint arXiv:2002.07631, 2020 - arxiv.org
We consider the problem of downlink power control in wireless networks, consisting of
multiple transmitter-receiver pairs communicating with each other over a single shared …
multiple transmitter-receiver pairs communicating with each other over a single shared …
Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
N Naderializadeh, M Eisen, A Ribeiro - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
We consider the problem of downlink power control in wireless networks, consisting of
multiple transmitter-receiver pairs communicating with each other over a single shared …
multiple transmitter-receiver pairs communicating with each other over a single shared …
[PDF][PDF] Wireless Power Control via Counterfactual Optimization of Graph Neural Networks
N Naderializadeh, M Eisen, A Ribeiro - researchgate.net
We consider the problem of downlink power control in wireless networks, consisting of
multiple transmitterreceiver pairs communicating with each other over a single shared …
multiple transmitterreceiver pairs communicating with each other over a single shared …