Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection

Kazi OBAIDULLAH; Constantin SIRITEANU; Shingo YOSHIZAWA; Yoshikazu MIYANAGA

doi:10.1587/transfun.E96.A.1984

Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection

Kazi OBAIDULLAH, Constantin SIRITEANU, Shingo YOSHIZAWA, Yoshikazu MIYANAGA

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Genetic algorithm (GA) is now an important tool in the field of wireless communications. For multiple-input/multiple-output (MIMO) wireless communications system employing spatial multiplexing transmission, we evaluate the effects of GA parameters value on channel parameters in fading channels. We assume transmit-correlated Rayleigh and Rician fading with realistic Laplacian power azimuth spectrum. Azimuth spread (AS) and Rician K-factor are selected according to the measurement-based WINNER II channel model for several scenarios. Herein we have shown the effects of GA parameters and channel parameters in different WINNER II scenarios (i.e., AS and K values) and rank of the deterministic components. We employ meta GA that suitably selects the population (P), generation (G) and mutation probability (p_m) for the inner GA. Then we show the cumulative distribution function (CDF) obtain experimentally for the condition number C of the channel matrix H. It is found that, GA parameters depend on the channel parameters, i.e., GA parameters are the functions of the channel parameters. It is also found that for the poorer channel conditions smaller GA parameter values are required for MIMO detection. This approach will help to achieve maximum performance in practical condition for the lower numerical complexity.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E96-A No.10 pp.1984-1992

Publication Date: 2013/10/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E96.A.1984

Type of Manuscript: PAPER

Category: Digital Signal Processing

Authors

Kazi OBAIDULLAH
  Rajshahi University
Constantin SIRITEANU
  Hokkaido University
Shingo YOSHIZAWA
  Hokkaido University
Yoshikazu MIYANAGA
  Hokkaido University

Keyword

Azimuth spread, condition number, correlation, fading, genetic algorithm, K-factor, Maximum likelihood, Meta GA, MIMO, WINNER II

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Kazi OBAIDULLAH, Constantin SIRITEANU, Shingo YOSHIZAWA, Yoshikazu MIYANAGA, "Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection" in IEICE TRANSACTIONS on Fundamentals, vol. E96-A, no. 10, pp. 1984-1992, October 2013, doi: 10.1587/transfun.E96.A.1984.
Abstract: Genetic algorithm (GA) is now an important tool in the field of wireless communications. For multiple-input/multiple-output (MIMO) wireless communications system employing spatial multiplexing transmission, we evaluate the effects of GA parameters value on channel parameters in fading channels. We assume transmit-correlated Rayleigh and Rician fading with realistic Laplacian power azimuth spectrum. Azimuth spread (AS) and Rician K-factor are selected according to the measurement-based WINNER II channel model for several scenarios. Herein we have shown the effects of GA parameters and channel parameters in different WINNER II scenarios (i.e., AS and K values) and rank of the deterministic components. We employ meta GA that suitably selects the population (P), generation (G) and mutation probability (p_m) for the inner GA. Then we show the cumulative distribution function (CDF) obtain experimentally for the condition number C of the channel matrix H. It is found that, GA parameters depend on the channel parameters, i.e., GA parameters are the functions of the channel parameters. It is also found that for the poorer channel conditions smaller GA parameter values are required for MIMO detection. This approach will help to achieve maximum performance in practical condition for the lower numerical complexity.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E96.A.1984/_p

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@ARTICLE{e96-a_10_1984,
author={Kazi OBAIDULLAH, Constantin SIRITEANU, Shingo YOSHIZAWA, Yoshikazu MIYANAGA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection},
year={2013},
volume={E96-A},
number={10},
pages={1984-1992},
abstract={Genetic algorithm (GA) is now an important tool in the field of wireless communications. For multiple-input/multiple-output (MIMO) wireless communications system employing spatial multiplexing transmission, we evaluate the effects of GA parameters value on channel parameters in fading channels. We assume transmit-correlated Rayleigh and Rician fading with realistic Laplacian power azimuth spectrum. Azimuth spread (AS) and Rician K-factor are selected according to the measurement-based WINNER II channel model for several scenarios. Herein we have shown the effects of GA parameters and channel parameters in different WINNER II scenarios (i.e., AS and K values) and rank of the deterministic components. We employ meta GA that suitably selects the population (P), generation (G) and mutation probability (p_m) for the inner GA. Then we show the cumulative distribution function (CDF) obtain experimentally for the condition number C of the channel matrix H. It is found that, GA parameters depend on the channel parameters, i.e., GA parameters are the functions of the channel parameters. It is also found that for the poorer channel conditions smaller GA parameter values are required for MIMO detection. This approach will help to achieve maximum performance in practical condition for the lower numerical complexity.},
keywords={},
doi={10.1587/transfun.E96.A.1984},
ISSN={1745-1337},
month={October},}

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TY - JOUR
TI - Effects of Channel Features on Parameters of Genetic Algorithm for MIMO Detection
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1984
EP - 1992
AU - Kazi OBAIDULLAH
AU - Constantin SIRITEANU
AU - Shingo YOSHIZAWA
AU - Yoshikazu MIYANAGA
PY - 2013
DO - 10.1587/transfun.E96.A.1984
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E96-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2013
AB - Genetic algorithm (GA) is now an important tool in the field of wireless communications. For multiple-input/multiple-output (MIMO) wireless communications system employing spatial multiplexing transmission, we evaluate the effects of GA parameters value on channel parameters in fading channels. We assume transmit-correlated Rayleigh and Rician fading with realistic Laplacian power azimuth spectrum. Azimuth spread (AS) and Rician K-factor are selected according to the measurement-based WINNER II channel model for several scenarios. Herein we have shown the effects of GA parameters and channel parameters in different WINNER II scenarios (i.e., AS and K values) and rank of the deterministic components. We employ meta GA that suitably selects the population (P), generation (G) and mutation probability (p_m) for the inner GA. Then we show the cumulative distribution function (CDF) obtain experimentally for the condition number C of the channel matrix H. It is found that, GA parameters depend on the channel parameters, i.e., GA parameters are the functions of the channel parameters. It is also found that for the poorer channel conditions smaller GA parameter values are required for MIMO detection. This approach will help to achieve maximum performance in practical condition for the lower numerical complexity.
ER -