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A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization.

Waleed Shahjehan1, Syed Waqar Shah1, Jaime Lloret2

  • 1Department of Electrical Engineering, University of Engineering & Technology, Peshawar P.O. Box 814, Pakistan.

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Summary
This summary is machine-generated.

This study introduces a novel codeword selection scheme to enhance limited feedback interference alignment. The new method improves user data rates and reduces signal loss, outperforming existing algorithms.

Keywords:
Interference AlignmentMAX-SINRcodewords selectioncomputational complexityspectral efficiency

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Area of Science:

  • Wireless communication
  • Signal processing
  • Information theory

Background:

  • Existing Limited Feedback Interference Alignment (LFIA) algorithms face limitations in optimizing user rates and managing sum rate loss.
  • Interference alignment is crucial for improving spectral efficiency in multi-user wireless systems.

Purpose of the Study:

  • To address limitations in current LFIA algorithms by proposing a direct codeword selection scheme.
  • To maximize the lower-bound of the user rate and minimize sum rate loss in wireless communication systems.

Main Methods:

  • Integration of a Bit Allocation algorithm with a direct codeword selection scheme.
  • Utilizing the Maximum Signal to Interference plus Noise Ratio (MAX-SINR) algorithm for target signal decoding.
  • Deployment of low-complexity global searching mechanisms for optimized codeword selection.

Main Results:

  • The proposed scheme effectively maximizes the lower-bound of the user rate.
  • Significant reduction in sum rate loss compared to existing methods.
  • Simulation results demonstrate superior performance over state-of-the-art algorithms.

Conclusions:

  • The developed direct codeword selection scheme offers a significant improvement for LFIA systems.
  • The integration of Bit Allocation and MAX-SINR decoding enhances system performance.
  • The proposed algorithm provides a practical solution for improving user data rates in interference-limited wireless networks.