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Tensor Based Semi-Blind Channel Estimation for Reconfigurable Intelligent Surface-Aided Multiple-Input

Ni Li1, Honggui Deng2, Fuxin Xu1

  • 1School of Physics, Central South University, Changsha 410012, China.

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|October 26, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel semi-blind receiver for reconfigurable intelligent surfaces (RIS) in 6G wireless networks. It effectively estimates channels and symbols without pilot training, reducing overhead and improving performance.

Keywords:
MIMO communicationparallel factor tensorreconfigurable intelligent surfacesemi-blind channel estimationsymbol estimation

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Area of Science:

  • Wireless communication systems engineering
  • Signal processing for wireless networks
  • Metamaterials and intelligent surfaces

Background:

  • Reconfigurable intelligent surfaces (RIS) are key for 6G, but passive RIS limits signal processing.
  • Pilot-assisted channel estimation in RIS-aided MIMO systems suffers from high pilot overhead due to large channel matrices.
  • Existing semi-blind methods may not fully address the coupled nature of channel and symbol estimation in RIS systems.

Purpose of the Study:

  • To propose a novel semi-blind joint channel and symbol estimation receiver for RIS-aided MIMO systems.
  • To eliminate the need for pilot training stages, thereby reducing pilot overhead.
  • To enhance estimation accuracy and speed in 6G wireless communications.

Main Methods:

  • Developed a semi-blind receiver architecture for RIS-aided MIMO systems.
  • Utilized Parallel Factor (PARAFAC) tensor models to decouple coupled channel and symbol matrices.
  • Transformed the estimation problem into Least Squares (LS) problems solvable via Alternating Least Squares (ALS).

Main Results:

  • The proposed PARAFAC tensor decomposition method effectively decouples channel and symbol matrices.
  • The semi-blind receiver achieves superior estimation accuracy compared to pilot-based and other semi-blind methods.
  • The algorithm demonstrates significant improvements in estimation speed.

Conclusions:

  • The proposed semi-blind joint channel and symbol estimation scheme offers a viable solution for RIS-aided 6G networks.
  • Eliminating pilot training significantly reduces overhead while maintaining high performance.
  • The method provides a robust and efficient approach for duplex communication systems.