I have an open position for a master's internship/thesis and a PhD at
Telecom Paris in the RMS team (Networks, Mobility, Services) on the
theme: Reinforcement learning for the scheduling of ultra-reliable and
low latency communications ( URLLC communications in 5G). This involves
designing single-agent or multi-agent reinforcement learning algorithms
to solve the problem of scheduling URLLC communications on the uplink,
between the terminals and the base station. This would extend the work
done in the following publication:
https://arxiv.org/abs/2308.14523
The ideal would be to continue the internship with a doctorate but
independent applications are also welcome.
Please distribute the information among interested students and don't
hesitate to contact me for further information.
Reagrds,
--
Marceau Coupechoux
Telecom Paris (ENST)
Département Informatique et Réseaux
19 place Marguerite Perey
91120 Palaiseau
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