BER Detection of A2G Wireless Communication in Rician K-Factor Fading Channel for Massive IoT Connectivity Network

Abstract

In this paper, we present a performance of bit error rate detection in air-to-ground (A2G) wireless communication over Rician K-factor fading channel for massive the internet of things (IoT) connectivity network. The massive IoT connectivity deploys to the cyber-physical system (CPS). We analyze the BER by using the asymptotic simulation of zero-forcing (ZF) and minimum mean square error (MMSE) detection. The system model employs the effect of Rician K-factor channel between the transmitter antenna (drone) and IoT users. Finally, we discuss the performance of BER curves.