Position-Aided Large-Scale MIMO Channel Estimation for High-Speed Railway Communication Systems

Research output: Contribution to journalArticle


  • Tao Li
  • Xiaodong Wang
  • Pingyi Fan
  • Taneli Riihonen

Research units

  • Tsinghua University
  • Columbia University
  • Shenzen Institutes of Advanced Technology


We consider channel estimation for high-speed railway communication systems, where both the transmitter and the receiver are equipped with large-scale antenna arrays. It is known that the throughput of conventional training schemes monotonically decreases with the mobility. Assuming that the moving terminal employs a large linear antenna array, this paper proposes a position-aided channel estimation scheme whereby only a portion of the transmit antennas send pilot symbols and the full channel matrix can be well estimated by using these pilots together with the antenna position information based on the joint spatial-temporal correlation. The relationship between mobility and throughput/DoF is established. Furthermore, the optimal selections of transmit power and time interval partition between the training and data phases as well as the antenna size are presented accordingly. Both analytical and simulation results show that the system throughput with the position-aided channel estimator does not deteriorate appreciably as the mobility increases, which is sharply in contrast with the conventional one.


Original languageEnglish
Pages (from-to)8964-8978
Number of pages15
JournalIEEE Transactions on Vehicular Technology
Issue number10
Publication statusPublished - Oct 2017
MoE publication typeA1 Journal article-refereed

    Research areas

  • Channel estimation, degree of freedom (DoF), high-speed railway communications, joint spatio-temporal correlation, large-scale MIMO, linear antenna array, throughput, FADING CHANNELS, MASSIVE MIMO, WIRELESS COMMUNICATIONS, ANTENNA SYSTEMS, NETWORKS, CAPACITY, PERFECT, TRAINS, NEED

ID: 16965470