English

Integrated Sensing and Communication with MOCZ Waveform

Information Theory 2023-07-06 v1 Signal Processing math.IT

Abstract

In this work, we propose a waveform based on Modulation on Conjugate-reciprocal Zeros (MOCZ) originally proposed for short-packet communications in [1], as a new Integrated Sensing and Communication (ISAC) waveform. Having previously established the key advantages of MOCZ for noncoherent and sporadic communication, here we leverage the optimal auto-correlation property of Binary MOCZ (BMOCZ) for sensing applications. Due to this property, which eliminates the need for separate communication and radar-centric waveforms, we propose a new frame structure for ISAC, where pilot sequences and preambles become obsolete and are completely removed from the frame. As a result, the data rate can be significantly improved. Aimed at (hardware-) cost-effective radar-sensing applications, we consider a Hybrid Digital-Analog (HDA) beamforming architecture for data transmission and radar sensing. We demonstrate via extensive simulations, that a communication data rate, significantly higher than existing standards can be achieved, while simultaneously achieving sensing performance comparable to state-of-the-art sensing systems.

Keywords

Cite

@article{arxiv.2307.01760,
  title  = {Integrated Sensing and Communication with MOCZ Waveform},
  author = {Saeid K. Dehkordi and Peter Jung and Philipp Walk and Dennis Wieruch and Kai Heuermann and Giuseppe Caire},
  journal= {arXiv preprint arXiv:2307.01760},
  year   = {2023}
}
R2 v1 2026-06-28T11:21:56.496Z