TY  - GEN 
AU  - Fernández Martínez, David
AU  - Chinchilla Romero, Lorena
AU  - Muñoz Luengo, Pablo
AU  - Ameigeiras Gutiérrez, Pablo José
PY  - 2025
UR  - https://hdl.handle.net/10481/106424
AB  - 5G deployments highlight the need for efficient infrastructure optimization. As networks become more complex, traditional algorithms struggle, requiring AI and ML approaches. This paper presents a deep Q-Network (DQN)-based agent for optimal Physical...
LA  - eng
PB  - Springer
KW  - 5G
KW  - Radio Resource Allocation
KW  - Deep Q-Networks
KW  - 6G
TI  - Energy-Efficient Radio Resource Allocation in 5G Using Deep Q-Networks
ER  -