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20222026
most citedEnabling Deep Reinforcement Learning Research for Energy Saving in Open RAN

2 citations · 2 across the 6 of their papers we have counts for

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cs.NI2024

Design and Evaluation of Deep Reinforcement Learning for Energy Saving in Open RAN

Matteo Bordin, Andrea Lacava, Michele Polese +5

Next-generation wireless systems, already widely deployed, are expected to become even more prevalent in the future, representing challenges in both environmental and economic term…

quant-ph2024

Table-top nanodiamond interferometer enabling quantum gravity tests

Marta Vicentini, Ettore Bernardi, Matteo Bordin +6

Along the path of unifying quantum theory and general relativity, it has recently been argued that the observation of gravity-induced entanglement could demonstrate the quantum nat…