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BER Detection of A2G Wireless Communication in Rician K-Factor Fading Channel for Massive IoT Connectivity Network
Author(s)
Date Issued
December 1, 2019
Type
Conference Paper
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.
Citation
Proceedings 2019 International Symposium on Intelligent Signal Processing and Communication Systems Ispacs 2019, 2019