A Spatial Delay Domain-Based Prony Channel Prediction Method for Massive MIMO LEO Communications

Zhiqiang Liu, Di Zhang*, Jingjing Guo, Theodoros A. Tsiftsis, Yuwei Su, Battulga Davaasambuu, Sahil Garg, Takuro Sato

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Massive multiple-input-multiple-output (massive MIMO)-based low Earth orbit (LEO) intersatellite link communications is a promising research topic for the fifth generation (5G) and forthcoming sixth generation (6G) wireless networks. However, due to the fast relative movement between the transmitter and receiver in LEO satellites, intersatellite link communication is facing serious Doppler shifts and delays, which makes it difficult to obtain the accurate channel state information (CSI). Therefore, this article proposes an improved channel prediction method, that is, spatial-delay domain-based Prony (SDD-Prony) prediction, which not only realizes the accurate CSI acquisition for massive MIMO-based LEO intersatellite link systems but also substantially reduces the computational complexity. In particular, it is shown that the prediction error of the proposed method can converge to zero with the increase in antenna number and bandwidth. In addition, we combine the SDD-Prony prediction method with the total least squares method to reduce the influence of the noise and error components on the prediction accuracy, which further improves the prediction performance. The effectiveness of the proposed method is demonstrated by a theoretical proof and simulation results.

Original languageEnglish
Pages (from-to)4137-4148
Number of pages12
JournalIEEE Systems Journal
Issue number3
Publication statusPublished - 2023 Sept 1


  • Channel prediction
  • Prony's method
  • channel state information (CSI)
  • low Earth orbit (LEO)
  • massive MIMO
  • satellite communication

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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