Measurement of Noise and Reduction Using Digital Filter for Information Signal Analysis in Next Generation Wireless Networks

Abstract

This research article pens down to measurement of noise using mathematical expressions for its reduction using digital filter and its information analysis in next generation wireless networks. A noise-corrupted signal in higher frequency ranges is subjected to a digital filter with its characteristics to eliminate the noisy counterpart signal and transmit the signal into a wireless channel in 5G systems. Digital filter design using input-output difference equation is derived and its graphical results from matrix laboratory simulation platform is presented for analysis where research challenges are significant. The recovered information signal is modulated using digital modulation technique of binary phase shift keying (BPSK) and its error rate analysis is depicted. From the simulation results further extension could be done for next generation wireless networks for the upcoming 6G systems.