Method for associating user equipment in a cellular network via multi-agent reinforcement learning

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United States of America Patent

PATENT NO 11388732
APP PUB NO 20210153219A1
SERIAL NO

17099922

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Abstract

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A method for associating user equipment with base stations of a cellular network such as a 5G network. An agent receives an observation of its environment and deduces an action therefrom, this action being manifested as an association request of the user to a neighboring base station. This action is chosen according to a strategy of the user seeking the maximum of a function of action value for the observation and several possible actions. Once the actions have been carried out by the various actions, a common reward is provided by the network to the various users, the latter being zero in the case of a collision of association requests and the result of a utility function otherwise. The function of action value for the various possible actions is predicted by a recurrent neural network trained on a set of experiments stored in a local memory.

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Patent Owner(s)

  • COMMISSARIAT A L' ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
De, Domenico Antonio Grenoble, FR 16 40
Sana, Mohamed Grenoble, FR 4 1

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