Abstract

WIRELESS TRANSMISSION RELIABILITY STUDY FOR LARGE SCALE MIMO SYSTEMS UNDER MINIMUM MEAN SQUARE AND ZERO FORCING EQUALIZATION SCHEMES

Joseph Isabona

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Abstract Future fifth generation (5G) mobile broadband communication systems are expected to provide superior data transmission rates and reliable communication quality. Two main issues that affect wireless transmission reliability are interference and fading effects induced by multipath propagation elements in the radio frequency channel. Nevertheless, both issues can be combated significantly by means of channel equalization in multiple antenna technological settings. In this paper, link reliability in terms bit error rate (BER) is investigated for large scale multiple-input?multiple-output (LS-MIMO) system under minimum mean square (MMSE) and zero forcing (ZF) equalization schemes, employing Matlab simulation platform. The simulation results show that the ZF-based equalizer is good enough to combat noise free channel and remove inter symbol interference, nonetheless the MMSE-based equalizer performs better as the number of antenna increases at the receiver.This can be justified by the fact that MMSE-based equalizer poses the capacity suppress both noise and interference among users in communication channel for enhanced data transmission reliability thereby delivering higher diversity gains at the receivers. However, the performances occurs slowly and then remained unchanged as the antenna number grows beyond 200 owing to saturation. Keywords: Interference, Fading, Large-scale MIMO, Linear channel equalization, Bit error rate, Transmission reliability.

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