RT Journal Article
T1 Beyond REM: A New Approach to the Use of Image Classifiers for the Management of 6G Networks
A1 Baena-Martínez, Eduardo
A1 Fortes-Rodríguez, Sergio
A1 Muro, Francisco
A1 Baena, Carlos
A1 Barco-Moreno, Raquel
K1 Sistemas de telecomunicaciones
K1 Imágenes - Transmisión
AB The management of cellular networks, particularly within the environment rapidly advancingto 6G, presents considerable challenges due to the highly dynamic radio environment. Traditionaltools such as Radio Environment Maps (REMs) have proven inadequate for real-time networkchanges, underlining the need for more sophisticated solutions. In response to these challenges, thiswork introduces a novel approach that harnesses the unprecedented power of state-of-the-art imageclassifiers for network management. This method involves the generation of Network SyntheticImages (NSIs), which are enriched heat maps that precisely reflect varying cellular network operatingstates. Created from user location traces linked with Key Performance Indicators (KPIs), NSIs arestrategically designed to meet the intricate demands of 6G networks. This research delves deepinto a comprehensive analysis of the diverse factors that could potentially impact the successfulapplication of this methodology in the realm of 6G. The results from this investigation, coupled witha comparative assessment against traditional REM usage, emphasize the superior performance of thisinnovative method. Additionally, a case study involving an automatic network diagnosis scenariovalidates the effectiveness of this approach. The findings reveal that a generic Convolutional NeuralNetwork (CNN), one of the most powerful tools in the arsenal of modern image classifiers, deliversenhanced performance, even with a reduced demand for positioning accuracy. This contributessignificantly to the real-time, robust management of cellular networks as we transition into the eraof 6G.
PB MDPI
YR 2023
FD 2023-08-29
LK https://hdl.handle.net/10630/29520
UL https://hdl.handle.net/10630/29520
LA spa
NO Baena, E., Fortes, S., Muro, F., Baena, C., & Barco, R. (2023). Beyond REM: a new approach to the use of image classifiers for the management of 6G networks. Sensors, 23(17), 7494. https://doi.org/10.3390/s23177494https://doi.org/10.3390/s23177494
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026