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Superimposed signaling inspired channel estimation in full-duplex systems.

Abbas Koohian1, Hani Mehrpouyan2, Ali A Nasir3

  • 11Research School of Engineering, Australian National University, Canberra, Australia.

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|January 28, 2020
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Summary

This study introduces a novel method for full-duplex (FD) communication systems to cancel self-interference (SI) by shifting modulation constellations. This technique improves channel estimation accuracy and reduces bit error rates, outperforming existing methods.

Keywords:
Channel estimationFull-duplex systemsSelf-interference cancellationSuperimposed signaling

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Area of Science:

  • Electrical Engineering and Computer Science
  • Wireless Communication Systems
  • Signal Processing

Background:

  • Residual self-interference (SI) cancellation is a critical challenge in enabling full-duplex (FD) communication systems.
  • Existing methods often struggle with accurate SI and channel estimation, limiting FD system performance.
  • Digital baseband processing is a key stage where SI mitigation is essential.

Purpose of the Study:

  • To propose a novel technique for estimating self-interference (SI) and communication channels in full-duplex (FD) systems.
  • To develop a bandwidth-efficient channel estimation method using asymmetric shifted modulation constellations.
  • To provide a framework for determining optimal parameters for accurate channel estimation.

Main Methods:

  • Introduced asymmetric shifted modulation constellations by adding a constant real number to conventional constellation points.
  • Developed an Expectation-Maximization (EM) estimator tailored for the proposed asymmetric constellations.
  • Derived a closed-form lower bound for the Mean Square Error (MSE) of channel estimation.

Main Results:

  • The proposed technique enables bandwidth-efficient and unambiguous channel estimation.
  • The Expectation-Maximization (EM) estimator achieves lower MSE and bit error rates compared to data-aided methods.
  • The method demonstrates robustness against increasing SI signal power.

Conclusions:

  • The asymmetric shifted modulation constellation technique offers a superior approach to SI and channel estimation in FD systems.
  • The derived MSE bound facilitates the calculation of minimum shift energy for accurate estimation.
  • This method significantly enhances the performance and reliability of full-duplex communication.