• Corpus ID: 207762388

Channel Estimation for Wireless Communication Systems Assisted by Large Intelligent Surfaces

@article{Lin2019ChannelEF,
  title={Channel Estimation for Wireless Communication Systems Assisted by Large Intelligent Surfaces},
  author={Junliang Lin and Gongpu Wang and Rongfei Fan and Theodoros A. Tsiftsis and Chintha Tellambura},
  journal={ArXiv},
  year={2019},
  volume={abs/1911.02158}
}
In this letter, the channel estimation problem is studied for wireless communication systems assisted by large intelligent surface. Due to features of assistant channel, channel estimation (CE) problem for the investigated system is shown as a constrained estimation error minimization problem, which differs from traditional CE problems. A Lagrange multiplier and dual ascent-based estimation scheme is then designed to obtain a closed-form solution for the estimator iteratively. Moreover, the… 

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References

SHOWING 1-8 OF 8 REFERENCES

Is Backscatter Link Stronger than Direct Link in Reconfigurable Intelligent Surface-Assisted System?

This letter considers integrating a backscatter link with a reconfigurable intelligent surface to enhance back scatter communication while assisting the direct communication, and develops two approximations that match well with the exact value.

Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces

The potential of data transmission in a system with a massive number of radiating and sensing elements, thought of as a contiguous surface of electromagnetically active material, is considered as a large intelligent surface (LIS), which is a newly proposed concept and conceptually goes beyond contemporary massive MIMO technology.

Wireless Communications Through Reconfigurable Intelligent Surfaces

The fundamental differences with other technologies, the most important open research issues to tackle, and the reasons why the use of reconfigurable intelligent surfaces necessitates to rethink the communication-theoretic models currently employed in wireless networks are elaborated.

Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning

The achievable rates of the proposed solutions approach the upper bound, which assumes perfect channel knowledge, with negligible training overhead and with only a few active elements, making them promising for future LIS systems.

Convex Optimization

A comprehensive introduction to the subject of convex optimization shows in detail how such problems can be solved numerically with great efficiency.

Intelligent Reflecting Surface-Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design

This paper exploits the prior knowledge of the large-scale fading statistics at the BS to derive the Bayesian minimum mean squared error (MMSE) channel estimates under a protocol in which the IRS applies a set of optimal phase shifts vectors over multiple channel estimation sub-phases.

Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer

  • Deepak MishraH. Johansson
  • Computer Science
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2019
A novel channel estimation protocol for PIS-assisted energy transfer (PET) from a multiantenna power beacon (PB) to a single-antenna energy harvesting (EH) user is presented.