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researcher

José Outes-Carnero

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.IT1
  • cs.NI1
  • eess.SY1
ORCID 0000-0003-0945-583X

identity via Semantic Scholar / OpenAlex

most citedMulti-Agent Reinforcement Learning with Common Policy for Antenna Tilt Optimization

5 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.IT2024

AI-Assisted Dynamic Port and Waveform Switching for Enhancing UL Coverage in 5G NR

Alejandro Villena-Rodríguez, Gerardo Gómez, Mari Carmen Aguayo-Torres +4

The uplink of 5G networks allows selecting the transmit waveform between cyclic prefix orthogonal frequency division multiplexing (CP-OFDM) and discrete Fourier transform spread OF…

eess.SY2023★ 5 cited

Multi-Agent Reinforcement Learning with Common Policy for Antenna Tilt Optimization

Adriano Mendo, Jose Outes-Carnero, Yak Ng-Molina +1

This paper presents a method for optimizing wireless networks by adjusting cell parameters that affect both the performance of the cell being optimized and the surrounding cells. T…

cs.NI2023

Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning

Maxime Bouton, Jaeseong Jeong, Jose Outes +2

Future generations of mobile networks are expected to contain more and more antennas with growing complexity and more parameters. Optimizing these parameters is necessary for ensur…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.