Analysis of MIMO System through Zero Forcing and Minimum Mean Square Error Detection Scheme

Ali Farzamnia, Ervin Moung, Ngu War Hlaing, Lillian Eda Kong, Manas Kumar Haldar, Liau Chung Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

In this paper, MIMO system is used to improve the performance of transmitted signal by reducing the signal fading rate. MIMO VBLAST technique is implemented to enhance the spectral efficiency and bandwidth with spatial diversity. Multiple antennas allowed the system to transmit multiple same data signal at the same time in which the data will not fade simultaneously, hence, improving the Signal to Noise Ratio (SNR) of the system. Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) detection scheme are used to minimize the effect of channel estimation errors. The simulation was carried out in MATLAB software. Based on the simulation result, the proposed scheme for MIMO VBLAST has better network throughput in term of successful message delivery performance compared to the traditional scheme.

Original languageEnglish
Title of host publicationProceeding = 2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages172-176
Number of pages5
ISBN (Electronic)9781538663219, 9781538663202
ISBN (Print)9781538663226
DOIs
Publication statusPublished - 4 Mar 2019
Externally publishedYes
Event9th IEEE Control and System Graduate Research Colloquium - Shah Alam, Malaysia
Duration: 3 Aug 20184 Aug 2018
Conference number: 9

Conference

Conference9th IEEE Control and System Graduate Research Colloquium
Abbreviated titleICSGRC 2018
Country/TerritoryMalaysia
CityShah Alam
Period3/08/184/08/18

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