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Spherical-Cap Approximation of Vector Quantization for Quantization-Based Combining in MIMO Broadcast Channels with

Moonsik Min1,2, Tae-Kyoung Kim3

  • 1School of Electronics Engineering, Kyungpook National University, Daegu 41566, Korea.

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|July 27, 2022
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Summary
This summary is machine-generated.

This study generalizes the spherical-cap approximation of vector quantization (SCVQ) for multiple-input multiple-output (MIMO) systems. The new SCVQ model accurately analyzes quantization errors in antenna-combining schemes like quantization-based combining (QBC).

Keywords:
channel state informationlimited feedbackmultiple-input multiple-output (MIMO)quantization-based combiningvector quantization

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Area of Science:

  • Wireless communication systems
  • Information theory
  • Signal processing

Background:

  • The spherical-cap approximation of vector quantization (SCVQ) is a key analytical model for multiple-input multiple-output (MIMO) systems with limited feedback.
  • Conventional SCVQ is inadequate for antenna-combining schemes like quantization-based combining (QBC), which minimize channel quantization errors.
  • QBC is effective in practical MIMO broadcast systems, but performance evaluation with explicit codebooks is complex.

Purpose of the Study:

  • To generalize the SCVQ model to be compatible with QBC.
  • To enable accurate emulation of quantization errors in QBC-based MIMO systems.
  • To facilitate simplified simulations and mathematically tractable analysis, irrespective of feedback bits.

Main Methods:

  • Generalization of the conventional SCVQ model.
  • Development of a new analytical framework for QBC in MIMO systems.
  • Validation through a wireless communication application in a dense cellular network.

Main Results:

  • The proposed generalized SCVQ effectively emulates quantization errors for QBC.
  • The model allows for simple simulations independent of feedback bit count.
  • Mathematically tractable performance analysis is achieved for QBC-based MIMO systems.

Conclusions:

  • The generalized SCVQ provides a powerful tool for analyzing QBC in MIMO systems.
  • This advancement simplifies performance evaluation and simulation for practical wireless communication systems.
  • The model's effectiveness is demonstrated in a dense cellular network scenario.