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 language | English |
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Pages (from-to) | 3865-3878 |
Number of pages | 14 |
Journal | IEEE Transactions on Communications |
Volume | 66 |
Issue number | 9 |
Early online date | 9 Apr 2018 |
DOIs | |
Publication status | Published - Sept 2018 |
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