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A Hybrid Low-Complexity WMMSE Precoder with Adaptive Damping for Massive Multi-User Multiple-Input Multiple- Output

Vaskar Sen1, Honggui Deng1, Xiaowen Xu1

  • 1School of Electronic Information, Central South University, Changsha 410004, China.

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Summary
This summary is machine-generated.

A new low-complexity precoding method for massive multi-user multiple-input multiple-output (MU-MIMO) systems offers performance similar to traditional methods but with much lower computational cost.

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adaptive dampinghybrid switchinglow-complexity precodingmassive MU-MIMOweighted minimum mean square error (WMMSE)

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Area of Science:

  • Wireless communication systems
  • Signal processing
  • Information theory

Background:

  • Maximizing weighted sum-rate (WSR) in downlink multi-user multiple-input multiple-output (MU-MIMO) systems is computationally intensive.
  • Classical weighted minimum mean square error (WMMSE) algorithms face prohibitive complexity challenges for massive MU-MIMO.

Purpose of the Study:

  • To develop a low-complexity WMMSE (LC-WMMSE) precoding method for massive MU-MIMO downlink systems.
  • To reduce the computational complexity of WMMSE algorithms while maintaining performance.

Main Methods:

  • Introduced a hybrid switching approach blending standard WMMSE updates with Woodbury matrix identity approximations.
  • Incorporated an adaptive damping mechanism for stable convergence.
  • Designed specifically for massive MU-MIMO downlink systems.

Main Results:

  • The proposed LC-WMMSE method achieves WSR performance comparable to classical WMMSE.
  • Demonstrated significantly reduced computational complexity compared to traditional WMMSE algorithms.
  • Validated suitability for practical implementation in massive MU-MIMO systems.

Conclusions:

  • The LC-WMMSE precoding method offers a practical solution for massive MU-MIMO systems.
  • Achieves a favorable trade-off between computational complexity and system performance.
  • Enables efficient WSR maximization in resource-constrained massive MU-MIMO environments.