A Scalable Spatial-Temporal Correlated Non-Stationary Channel Fading Generation Method

Sheng Fang, Tongbao Mao, Boyu Hua, Yuan Ding, Maozhong Song, Qiangjun Zhou, Qiuming Zhu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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To address the challenges of complex implementation structures and high hardware resource consumption in multiple-input multiple-output (MIMO) channel emulators, this paper proposes a hardware generation method for spatial-temporal correlated non-stationary channel fading. Firstly, a hardware generation architecture is developed for Field-Programmable Gate Array (FPGA) platforms, which can also reduce the complexity of the channel emulator. Secondly, an improved CORDIC method is introduced, to reduce algorithm latency and hardware consumption while expanding the function convergence domain, with a relative error maintained at the level of 10-4. Furthermore, based on the idea of time-division multiplexing, an efficient hardware operation of a lower triangular matrix is adopted to minimize the consumption of hardware resources. Finally, the measured results demonstrate that the statistical characteristics of the channel fading generated by the proposed method are in good agreement with the theoretical ones, with an average error of less than 2%. Additionally, under identical simulation conditions, hardware resource consumption is reduced by 6.87%. These findings provide compelling evidence of the enhanced efficiency and accuracy in simulating MIMO channels achieved through the proposed method.
Original languageEnglish
Article number4132
Issue number19
Publication statusPublished - 4 Oct 2023


  • FPGA
  • MIMO
  • channel fading generation
  • matrix operation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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