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Null Subcarrier Index Modulation in OFDM Systems for 6G and Beyond.

Tuncay Eren1, Aydin Akan2

  • 1Department of Electrical and Electronics Engineering, Istanbul University-Cerrahpasa, Istanbul 34320, Turkey.

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|November 13, 2021
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Summary
This summary is machine-generated.

This study introduces a new method for Orthogonal Frequency Division Multiplexing-Index Modulation (OFDM-IM) that uses null subcarriers. This approach reduces computational complexity and improves performance over conventional OFDM systems.

Keywords:
6G and beyondOFDMcomputational complexityindex modulationnull subcarrier

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Area of Science:

  • Electrical Engineering
  • Telecommunications
  • Signal Processing

Background:

  • Orthogonal Frequency Division Multiplexing (OFDM) systems face computational complexity challenges with Index Modulation (IM).
  • Existing OFDM-IM techniques primarily modulate active subcarrier indices, limiting efficiency.

Purpose of the Study:

  • To propose a novel Index Modulation (IM) technique for OFDM systems using null subcarrier locations (NSC-OFDM-IM).
  • To reduce computational complexity in OFDM-IM systems.
  • To enhance spectral efficiency and bit error rate (BER) performance.

Main Methods:

  • Developed a new IM technique by utilizing null subcarrier locations within predefined subgroups.
  • Implemented index selection and detection algorithms focusing on null subcarriers.
  • Defined subgroup sizes as powers of two for straightforward implementation.

Main Results:

  • The proposed NSC-OFDM-IM shows no performance degradation compared to existing OFDM-IM.
  • Achieved improved bit error rate (BER) performance over conventional OFDM.
  • Demonstrated enhanced spectral efficiency (SE) compared to conventional OFDM.
  • Significantly reduced computational complexity compared to traditional OFDM-IM.

Conclusions:

  • The novel NSC-OFDM-IM technique effectively addresses computational complexity in OFDM systems.
  • This method offers superior BER and SE performance compared to conventional OFDM.
  • The approach is practical, easy to implement, and computationally efficient.