Novel Clustering Approach for Anomaly Detection in 5G Signals

5G network communication represents a significant advancement over traditional 4G and LTE technologies, offering higher speeds and increased bandwidth to meet growing demands. However, this rise in network usage can impact signal strength and efficiency. To address these challenges, anomaly detection techniques are employed to identify and predict potential issues within the network. This paper introduces a novel approach to the current state of the art, laying the groundwork for more effective anomaly detection. By examining these techniques, we aim to enhance the performance of future communication systems.