Investigations of mimo wireless communication systems for iot applications

Abstract

Wireless technology is growing at a rapid pace and so are the number of connected devices. newlineDue to limited capabilities of fourth generation (4G) long term evolution (LTE) technology, newlinethe development of fifth generation (5G) and beyond 5G technology has evolved. The use of newlinemulti-antenna techniques in wireless communication networks such as multiple input multiple newlineoutput (MIMO), multi-user MIMO, and massive MIMO provides high data rates and massive newlineconnectivity. With the advancement of internet-of-things (IoT) technology, there is widespread newlineinteraction between large number of heterogeneous devices which demand high data rate, newlinemassive connectivity, low latency and reliable communication. For all-connected world, the newlineintegration of various future wireless technologies like 5G and beyond 5G for IoT applications newlineis important. The 5G wireless communication technology is the key enabler for IoT newlineapplications. The role of 5G in the IoT evolution needs to be investigated and the challenges newlineneed to be fixed. In this research work, the MIMO signal processing techniques are investigated newlinefor IoT applications. A multi-cell network scenario is proposed and the performance of newlinedifferent channel estimation, pilot allocation and receive combining techniques is evaluated for newlinedifferent fading models. The study demonstrates that, for 100 BS antennas, the mean sum SE newlineincreases by 11% for Rayleigh fading channels and by 18% for Rician fading channels when newlinespatial correlation is used. The effect of spatial correlation is also evaluated on the system newlineperformance. newline