2026-06-07T05:25:57Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/295202026-02-03T11:34:45Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Baena-Martínez, Eduardo author Fortes-Rodríguez, Sergio author Muro, Francisco author Baena, Carlos author Barco-Moreno, Raquel author 2023-08-29 The management of cellular networks, particularly within the environment rapidly advancing to 6G, presents considerable challenges due to the highly dynamic radio environment. Traditional tools such as Radio Environment Maps (REMs) have proven inadequate for real-time network changes, underlining the need for more sophisticated solutions. In response to these challenges, this work introduces a novel approach that harnesses the unprecedented power of state-of-the-art image classifiers for network management. This method involves the generation of Network Synthetic Images (NSIs), which are enriched heat maps that precisely reflect varying cellular network operating states. Created from user location traces linked with Key Performance Indicators (KPIs), NSIs are strategically designed to meet the intricate demands of 6G networks. This research delves deep into a comprehensive analysis of the diverse factors that could potentially impact the successful application of this methodology in the realm of 6G. The results from this investigation, coupled with a comparative assessment against traditional REM usage, emphasize the superior performance of this innovative method. Additionally, a case study involving an automatic network diagnosis scenario validates the effectiveness of this approach. The findings reveal that a generic Convolutional Neural Network (CNN), one of the most powerful tools in the arsenal of modern image classifiers, delivers enhanced performance, even with a reduced demand for positioning accuracy. This contributes significantly to the real-time, robust management of cellular networks as we transition into the era of 6G. 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 https://hdl.handle.net/10630/29520 10.3390/s23177494 Sistemas de telecomunicaciones Imágenes - Transmisión Beyond REM: A New Approach to the Use of Image Classifiers for the Management of 6G Networks