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.
Funding Information
  • EU H2020 ITN 5G Wireless Project (641985)
  • EU H2020 RISE TESTBED Project (734325)
  • EU FP7 QUICK Project (PIRSES-GA-2013-612652)
  • Engineering and Physical Sciences Research Council (EP/L020009/1)
  • National Natural Science Foundation of China (61631020)
  • Postdoctoral Fund of Jiangsu Province (1601017C)
  • Fundamental Research Funds for the Central Universities (NS2016044, NJ20160027)

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