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OFDM Waveform for Monostatic ISAC in 6G: Vision, Approach, and Research Directions

Huacheng Zeng, Kunzhe Song, Geo Jie Zhou, Ruxin Lin

Abstract

Integrated sensing and communication (ISAC) is widely regarded as a key enabling technology for 6G wireless networks. While extensive research has explored the coexistence of sensing and communication functionalities, the use of orthogonal frequency-division multiplexing (OFDM) waveforms for monostatic ISAC remains underexplored. In this article, we present practical approaches for enabling monostatic sensing on wireless communication devices and illustrate how OFDM signals can provide radar-like sensing capabilities such as ranging, Doppler estimation, and environmental perception. We hope this article will stimulate further research on OFDM-based monostatic ISAC and accelerate its adoption in 6G networks.

OFDM Waveform for Monostatic ISAC in 6G: Vision, Approach, and Research Directions

Abstract

Integrated sensing and communication (ISAC) is widely regarded as a key enabling technology for 6G wireless networks. While extensive research has explored the coexistence of sensing and communication functionalities, the use of orthogonal frequency-division multiplexing (OFDM) waveforms for monostatic ISAC remains underexplored. In this article, we present practical approaches for enabling monostatic sensing on wireless communication devices and illustrate how OFDM signals can provide radar-like sensing capabilities such as ranging, Doppler estimation, and environmental perception. We hope this article will stimulate further research on OFDM-based monostatic ISAC and accelerate its adoption in 6G networks.
Paper Structure (23 sections, 2 figures, 1 table)

This paper contains 23 sections, 2 figures, 1 table.

Figures (2)

  • Figure 1: A communication device operates in full-duplex mode. It is transmitting OFDM signal for data packet transmission; at the same time, its receiver demodulates the OFDM symbols to estimate CIR, which is used for sensing applications.
  • Figure 4: An example of the self-mixing approach that uses the OFDM communication signal for sensing applications.