Análisis comparativo de la eficiencia de redes 4g y 5g mediante computación neuromórfica en MATLAB.

Abstract

The curricular integration work provides a comprehensive and detailed performance analysis of 4G and 5G ports using neuromorphic computing implemented in MATLAB. Through practical implementation, the study shows how neuromorphic computing can improve energy efficiency and data transfer efficiency to high-quality, low-cost devices. Studies use signal-to-noise ratio (SNR) standards to evaluate performance on key factors such as bit error rate (BER), processing time, and latency. The research is of great relevance for the expansion of 4G networks and the development of future 5G products. Detailed modeling is used to focus on the significant performance differences between the benefits of the two solutions. This work makes important contributions to the concept and formation of phones, providing valuable information to determine power and performance potential using advanced artificial intelligence technologies. The analysis provides a clear understanding of the benefits and limitations of 4G and 5G restrictions driving the development of mobile technology.