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Digital Self-Interference Cancellation Strategies for In-Band Full-Duplex: Methods and Comparisons.

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Digital self-interference cancellation (SIC) techniques for in-band full-duplex (IBFD) systems improve spectral efficiency. Adaptive SIC using GMP models suits time-variant channels, while PNN models excel in time-invariant scenarios.

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Area of Science:

  • Wireless Communication
  • Signal Processing

Background:

  • In-band full-duplex (IBFD) systems enhance spectral efficiency by allowing simultaneous transmission and reception.
  • Self-interference (SI) is a critical challenge hindering IBFD system deployment.
  • Digital self-interference cancellation (SIC) is crucial for mitigating SI in multiple-input multiple-output (MIMO) systems.

Purpose of the Study:

  • To evaluate digital SIC methodologies for MIMO wireless transceivers with digital beamforming.
  • To model nonlinearities and memory effects from hardware impairments using advanced polynomial and neural network approaches.
  • To assess the robustness of SIC under different training and adaptation schemes.

Main Methods:

  • Two digital SIC approaches were evaluated: a Generalized Memory Polynomial (GMP) model and a Phase-Normalized Neural Network (PNN).
  • Itô-Hermite polynomial basis functions were used to augment the GMP model.
  • Estimation techniques including Least Squares (LS), Least Mean Squares (LMS), and Fast Kalman (FK) were employed for model coefficient estimation.
  • Simulations incorporated realistic power amplifier (PA) characteristics, channel conditions, and high-order modulation schemes.

Main Results:

  • For time-variant scenarios, a low-complexity adaptive SIC using GMP with FK estimation proved effective.
  • In time-invariant scenarios, an open-loop SIC approach based on PNN demonstrated superior performance.
  • The PNN approach maintained robustness across various modulation schemes.

Conclusions:

  • Digital SIC is essential for practical IBFD MIMO systems.
  • The choice between GMP and PNN models depends on channel time-variance.
  • PNN-based SIC offers high performance and robustness in static channel conditions.