A Novel 3D Non-Stationary Wireless MIMO Channel Simulator and Hardware Emulator

Qiuming Zhu, Hao Li, Yu Fu, Cheng-Xiang Wang, Yi Tan, Xiaomin Chen, Qihui Wu

Research output: Contribution to journalArticle

Abstract

In this paper, a new WINNER+ based three dimensional (3D) non-stationary geometry-based stochastic model (GBSM) for multiple-input multiple-output (MIMO) channels is proposed, as well as extended evolving algorithms of time-variant channel parameters. Meanwhile, important statistical properties of the channel model, i.e., time-variant autocorrelation function (ACF), time-variant cross-correlation function (CCF), and timevariant Doppler power spectrum density (DPSD) are derived and analyzed. Moreover, we propose an efficient hardware implementation method, namely sum-of-frequency-modulation (SoFM) method, to generate non-stationary channel coefficients. By utilizing a compact hardware architecture with SoFM modules, the proposed 3D non-stationary GBSM is realized on a field-programmable gate array (FPGA) hardware platform. Simulations and hardware measurement results demonstrate that our proposed channel simulator and emulator can get more accurate and realistic Doppler frequency than those of the existing models. In addition, hardware measurements of statistical properties are also consistent well with the corresponding theoretical ones, which verifies the correctness of both the hardware emulation scheme and theoretical derivations.

Original languageEnglish
JournalIEEE Transactions on Communications
Early online date9 Apr 2018
DOIs
Publication statusE-pub ahead of print - 9 Apr 2018

Fingerprint

Simulators
Hardware
Frequency modulation
Stochastic models
Geometry
Power spectrum
Autocorrelation
Field programmable gate arrays (FPGA)

Keywords

  • 3D non-stationary GBSM
  • hardware emulation
  • MIMO channel model
  • statistical properties
  • sum-of-frequency-modulation method
  • WINNER+ channel model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

@article{680a1cafb1b24dc3b4a0287c6bfb6421,
title = "A Novel 3D Non-Stationary Wireless MIMO Channel Simulator and Hardware Emulator",
abstract = "In this paper, a new WINNER+ based three dimensional (3D) non-stationary geometry-based stochastic model (GBSM) for multiple-input multiple-output (MIMO) channels is proposed, as well as extended evolving algorithms of time-variant channel parameters. Meanwhile, important statistical properties of the channel model, i.e., time-variant autocorrelation function (ACF), time-variant cross-correlation function (CCF), and timevariant Doppler power spectrum density (DPSD) are derived and analyzed. Moreover, we propose an efficient hardware implementation method, namely sum-of-frequency-modulation (SoFM) method, to generate non-stationary channel coefficients. By utilizing a compact hardware architecture with SoFM modules, the proposed 3D non-stationary GBSM is realized on a field-programmable gate array (FPGA) hardware platform. Simulations and hardware measurement results demonstrate that our proposed channel simulator and emulator can get more accurate and realistic Doppler frequency than those of the existing models. In addition, hardware measurements of statistical properties are also consistent well with the corresponding theoretical ones, which verifies the correctness of both the hardware emulation scheme and theoretical derivations.",
keywords = "3D non-stationary GBSM, hardware emulation, MIMO channel model, statistical properties, sum-of-frequency-modulation method, WINNER+ channel model",
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A Novel 3D Non-Stationary Wireless MIMO Channel Simulator and Hardware Emulator. / Zhu, Qiuming; Li, Hao; Fu, Yu; Wang, Cheng-Xiang; Tan, Yi; Chen, Xiaomin; Wu, Qihui.

In: IEEE Transactions on Communications, 09.04.2018.

Research output: Contribution to journalArticle

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AB - In this paper, a new WINNER+ based three dimensional (3D) non-stationary geometry-based stochastic model (GBSM) for multiple-input multiple-output (MIMO) channels is proposed, as well as extended evolving algorithms of time-variant channel parameters. Meanwhile, important statistical properties of the channel model, i.e., time-variant autocorrelation function (ACF), time-variant cross-correlation function (CCF), and timevariant Doppler power spectrum density (DPSD) are derived and analyzed. Moreover, we propose an efficient hardware implementation method, namely sum-of-frequency-modulation (SoFM) method, to generate non-stationary channel coefficients. By utilizing a compact hardware architecture with SoFM modules, the proposed 3D non-stationary GBSM is realized on a field-programmable gate array (FPGA) hardware platform. Simulations and hardware measurement results demonstrate that our proposed channel simulator and emulator can get more accurate and realistic Doppler frequency than those of the existing models. In addition, hardware measurements of statistical properties are also consistent well with the corresponding theoretical ones, which verifies the correctness of both the hardware emulation scheme and theoretical derivations.

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