Estrategias de Mitigación de Interferencia en Redes 5G con Enfoque en URLLC

Abstract

Abstract: This Curricular Integration Work addresses the problem of interference mitigation in the context of 5G networks. Specifically, Ultra Low Latency and High Reliability communications were analyzed, in which sensitivity to interference is critical for its correct operation, since its operation is expected to continue even in the presence of interference, such as telemedicine and control. remote in real time. The following mitigation strategies were simulated based on Massive MIMO, cooperative MIMO and adaptive beamforming, implemented through the LMS and SR-LMS algorithms. First, using computational simulations in Python, these strategies were analyzed under the AWGN and Rayleigh channel models, which simulate the effects of propagation complexity. The results achieved showed a reduction in the BLER along with a significant increase in the signal-to-noise ratio, justifying the effectiveness of the strategies presented in terms of improving reliability and spectral efficiency in future 5G networks.