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Performance enhancement and PAPR reduction for MIMO based QAM-FBMC systems.

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  • 1Department of Electrical Engineering, College of Engineering, Jazan University, Jizan, Saudi Arabia.

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Summary
This summary is machine-generated.

This study introduces a novel method to reduce the high Peak-to-Average Power Ratio (PAPR) in Filter Bank Multi-Carrier (FBMC) systems with Multiple-Input and Multiple-Output (MIMO) antennas. The technique enhances system performance and throughput for future wireless communications.

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Area of Science:

  • Wireless Communications
  • Signal Processing

Background:

  • Filter Bank Multi-Carrier (FBMC) is a promising multi-carrier modulation (MCM) technique for future communication systems, offering advantages over Orthogonal Frequency Division Multiplexing (OFDM).
  • FBMC systems, especially when combined with Multiple-Input and Multiple-Output (MIMO) and Quadrature Amplitude Modulation (QAM), face significant challenges with high Peak-to-Average Power Ratio (PAPR), leading to nonlinear power amplifier inefficiencies.
  • High PAPR necessitates increased Input Backoff (IBO), reducing power efficiency and limiting coverage, particularly when employing beamforming for enhanced system performance.

Purpose of the Study:

  • To analyze the performance of MIMO-based QAM-FBMC systems, considering system complexity and interference.
  • To propose and evaluate a new PAPR reduction method for MIMO-based QAM-FBMC systems to improve efficiency and coverage.
  • To demonstrate the effectiveness of the proposed method in enhancing both PAPR and throughput compared to existing techniques.

Main Methods:

  • Performance analysis of MIMO-based QAM-FBMC systems, evaluating complexity and interference.
  • Development of a novel PAPR reduction technique leveraging the MIMO channel's null space using clipping and filtering (CF).
  • Mapping PAPR-reduced signals to the null space of the MIMO channel for each frequency block and simulation using a nonlinear power amplifier model.

Main Results:

  • The proposed clipping and filtering (CF) technique effectively reduces PAPR in MIMO-based QAM-FBMC systems.
  • The method successfully maps PAPR-reduced signals into the null space of the MIMO channel, mitigating interference.
  • Computer simulations demonstrate substantial improvements in both PAPR and throughput compared to conventional methods.

Conclusions:

  • The proposed PAPR reduction method significantly enhances the performance of MIMO-based QAM-FBMC systems.
  • This technique is crucial for improving power efficiency and extending coverage in future wireless communication systems utilizing FBMC and MIMO.
  • The method offers a practical solution for overcoming PAPR challenges in advanced multi-carrier modulation schemes.