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Mitigation pilot contamination based on matching technique for uplink cell-free massive MIMO systems.

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Pilot contamination in cell-free massive MIMO degrades service quality. This study introduces novel pilot assignment and power control schemes using matching techniques, significantly boosting spectral efficiency for improved wireless communication.

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Area of Science:

  • Wireless Communication
  • Signal Processing
  • Telecommunications Engineering

Background:

  • Cell-free massive MIMO systems face pilot contamination due to limited pilots and numerous users.
  • This contamination degrades channel estimation accuracy, impacting Quality of Service (QoS).

Purpose of the Study:

  • To address pilot contamination in cell-free massive MIMO uplink systems.
  • To maximize spectral efficiency through novel pilot assignment and power control schemes.

Main Methods:

  • Developed a pilot assignment optimization problem solved using a Genetic Algorithm (GA) and Hungarian matching algorithm.
  • Formulated a minimum-weighted assignment problem for pilot power control, also solved with the Hungarian algorithm, incorporating Access Point (AP) selection.

Main Results:

  • Proposed schemes significantly outperform existing methods in both pilot assignment and power control.
  • Achieved a 15% improvement in spectral efficiency compared to state-of-the-art techniques.
  • Computational complexity analysis confirms efficiency.

Conclusions:

  • The proposed matching-based pilot assignment and power control schemes effectively mitigate pilot contamination.
  • These methods enhance spectral efficiency and QoS in cell-free massive MIMO systems.