Comparison of adaptive filtering scheme for sustainable and efficient communication in smart city

IoT is the big buzzword in today’s technical fraternity. The implementation of 5G networks is also up in urban areas. This is perhaps fortunate from an IoT perspective, as IoT’s main applications will realize Smart automated cities’ dream. Enhanced mobile broadband (eMBB)-based services are far and wide dependent upon the bandwidth requirement for effective communication in Smart City applications. Modern-day signal processing techniques are widely reliant on adaptive filters for efficient applications like signal prediction, echo cancellation, noise cancellation, etc. In this work, the use of adaptive filters is performed for stationary and non-stationary signals. It is well known that adaptive filters’ performance and effect depend on their regulating parameters and noise variance. Therefore, the parameter step size and filter orders are varied, and the outcome of the variations on respective signals is noted. Simulation of these scenarios is discussed at length to ensure better insight of adaptive filters to researchers and engineers to select the appropriate filter for a specific application.