PARAFAC-Based Channel Estimation for Intelligent Reflective Surface Assisted MIMO System
ID:25 View Protection:ATTENDEE Updated Time:2020-08-05 10:16:59 Hits:478 Oral Presentation

Start Time:2020-06-09 15:20(Asia/Shanghai)

Duration:20min

Session:R Regular Session » R10MIMO Systems

Video No Permission

Tips: Only the registered participant can access the file. Please sign in first.

Abstract
Intelligent reflective surface (IRS) is an emergent technology for future wireless communications. It consists of a large 2D array of passive scattering elements that control the electromagnetic properties of radio-frequency waves so that the reflected signals add coherently at the intended receiver or destructively to reduce co-channel interference. The promised gains of IRS-assisted communications depend on the accuracy of the channel state information. In this paper, we propose two novel channel estimation methods for an IRS-assisted multiple-input multiple-output (MIMO) communication system. Assuming a structured time-domain pattern of pilots and IRS phase shifts, we show that the received signal follows a parallel factor (PARAFAC) tensor model that can be exploited to estimate the involved communication channels in closed form or iteratively. Numerical results corroborate the effectiveness of the proposed channel estimation methods and highlight the involved tradeoffs.
Keywords
Speaker
Gilderlan Tavares
Federal Institute of Cear? Brazil

Submission Author
Gilderlan Tavares Federal Institute of Cear? Brazil
Andr?de Almeida Federal University of Cear?& Wireless Telecom Research Group - GTEL, Brazil
Submit Comment
Verify Code Change Another
All Comments
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
Contact Information