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

doi:10.1109/ICSGRC.2018.8657515

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 proceeding › Conference contribution › peer-review

6 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 language	English
Title of host publication	Proceeding = 2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	172-176
Number of pages	5
ISBN (Electronic)	9781538663219, 9781538663202
ISBN (Print)	9781538663226
DOIs	https://doi.org/10.1109/ICSGRC.2018.8657515
Publication status	Published - 4 Mar 2019
Externally published	Yes
Event	9th IEEE Control and System Graduate Research Colloquium - Shah Alam, Malaysia Duration: 3 Aug 2018 → 4 Aug 2018 Conference number: 9

Conference

Conference	9th IEEE Control and System Graduate Research Colloquium
Abbreviated title	ICSGRC 2018
Country/Territory	Malaysia
City	Shah Alam
Period	3/08/18 → 4/08/18

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10.1109/ICSGRC.2018.8657515Licence: Unspecified

Cite this

Farzamnia, A., Moung, E., Hlaing, N. W., Kong, L. E., Haldar, M. K., & Fan, L. C. (2019). Analysis of MIMO System through Zero Forcing and Minimum Mean Square Error Detection Scheme. In Proceeding = 2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018 (pp. 172-176). [8657515] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSGRC.2018.8657515

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title = "Analysis of MIMO System through Zero Forcing and Minimum Mean Square Error Detection Scheme",

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.",

keywords = "Minimum Mean Square Error (MMSE), Multiple Input Multiple Output (MIMO), VBLAST, Zero Forcing (ZF)",

author = "Ali Farzamnia and Ervin Moung and Hlaing, {Ngu War} and Kong, {Lillian Eda} and Haldar, {Manas Kumar} and Fan, {Liau Chung}",

note = "Funding Information: ACKNOWLEDGMENT The authors appreciate those who contributed to make this research successful. This research is under support of Center for Research and Innovation (PPI) and Faculty of Engineering, Universiti Malaysia Sabah (UMS) under the Fundamental Research Grant (FRG0453-TK-1/2016). Publisher Copyright: {\textcopyright} 2018 IEEE.; 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018 ; Conference date: 03-08-2018 Through 04-08-2018",

year = "2019",

month = mar,

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doi = "10.1109/ICSGRC.2018.8657515",

language = "English",

isbn = "9781538663226",

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booktitle = "Proceeding = 2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Farzamnia, A, Moung, E, Hlaing, NW, Kong, LE, Haldar, MK & Fan, LC 2019, Analysis of MIMO System through Zero Forcing and Minimum Mean Square Error Detection Scheme. in Proceeding = 2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018., 8657515, Institute of Electrical and Electronics Engineers Inc., pp. 172-176, 9th IEEE Control and System Graduate Research Colloquium, Shah Alam, Malaysia, 3/08/18. https://doi.org/10.1109/ICSGRC.2018.8657515

Analysis of MIMO System through Zero Forcing and Minimum Mean Square Error Detection Scheme. / Farzamnia, Ali; Moung, Ervin; Hlaing, Ngu War et al.

Proceeding = 2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 172-176 8657515.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of MIMO System through Zero Forcing and Minimum Mean Square Error Detection Scheme

AU - Farzamnia, Ali

AU - Moung, Ervin

AU - Hlaing, Ngu War

AU - Kong, Lillian Eda

AU - Haldar, Manas Kumar

AU - Fan, Liau Chung

N1 - Conference code: 9

PY - 2019/3/4

Y1 - 2019/3/4

N2 - 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.

AB - 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.

KW - Minimum Mean Square Error (MMSE)

KW - Multiple Input Multiple Output (MIMO)

KW - VBLAST

KW - Zero Forcing (ZF)

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BT - Proceeding = 2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018

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T2 - 9th IEEE Control and System Graduate Research Colloquium

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ER -

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

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