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ORCIDCharmae Franchesca Mendoza
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2020 – today
- 2024
[j2]Charmae Franchesca Mendoza
, Megumi Kaneko, Markus Rupp, Stefan Schwarz:
Accelerated Deep Reinforcement Learning for Uplink Power Control in a Dynamic Cell-Free Massive MIMO Network. IEEE Wirel. Commun. Lett. 13(6): 1710-1714 (2024)- 2023
- [c5]Charmae Franchesca Mendoza, Stefan Schwarz, Markus Rupp:
User-Centric Clustering in Cell-Free MIMO Networks using Deep Reinforcement Learning. ICC 2023: 1036-1041 - 2022
- [c4]Charmae Franchesca Mendoza, Stefan Schwarz, Markus Rupp:
Deep Reinforcement Learning for Spatial User Density-based AP Clustering. SPAWC 2022: 1-5 - 2021
- [c3]Charmae Franchesca Mendoza, Leandro Miguel Lopez, Daniel Camps-Mur, Jordi Casademont:
Benchmarking the Cooperative Awareness Service at Application Layer with IEEE 802.11p and LTE-PC5 Mode-4. MeditCom 2021: 389-394 - [c2]Charmae Franchesca Mendoza, Stefan Schwarz, Markus Rupp:
Deep Reinforcement Learning for Dynamic Access Point Activation in Cell-Free MIMO Networks. WSA 2021: 1-6 - 2020
- [j1]Leandro Miguel Lopez, Charmae Franchesca Mendoza, Jordi Casademont, Daniel Camps-Mur:
Understanding the Impact of the PC5 Resource Grid Design on the Capacity and Efficiency of LTE-V2X in Vehicular Networks. Wirel. Commun. Mob. Comput. 2020: 8156908:1-8156908:13 (2020) - [c1]Charmae Franchesca Mendoza, Stefan Schwarz, Markus Rupp:
Cluster Formation in Scalable Cell-free Massive MIMO Networks. WiMob 2020: 62-67
Coauthor Index
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