Short-Length Code Designs for Integrated Sensing and Communications using Deep Learning

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

Integrated sensing and communications (ISAC) is envisioned to be a key to advanced applications in future wireless networks. In this paper, we study the coded modulation designs for ISAC transmissions with short block lengths over correlated Rayleigh fading channels. In line with the short block length transmission, we consider the non-coherent communication detection and coherent radar sensing, where a neural network (NN)-assisted frame-wise constellation design is proposed. Specifically, we first derive the optimal communication and radar receivers. Then, we present some heuristic understandings of the code designs by considering special cases, based on which a conjecture on the optimal codes for the considered ISAC transmissions is developed. The constellation obtained from the proposed NN agrees with our conjecture and shows an important conclusion that the optimal codes of the considered problem may be a combination of the “on-off keying” and phase-shifted keying signalings. Our numerical results show that the proposed code exhibits promising communication and sensing performance simultaneously and outperforms the transmissions with a standard channel code and symbol-wise modulation.

Details

OriginalspracheEnglisch
TitelICC 2024 - IEEE International Conference on Communications
Redakteure/-innenMatthew Valenti, David Reed, Melissa Torres
Seiten3536-3541
Seitenumfang6
ISBN (elektronisch)978-1-7281-9054-9
PublikationsstatusVeröffentlicht - 2024
Peer-Review-StatusJa

Externe IDs

Scopus 85202900479
Mendeley 94a2be99-b370-3be0-8169-30e8eada2a0f
ORCID /0000-0002-1702-9075/work/183566180

Schlagworte

Schlagwörter

  • Code design, correlated fading, deep learning, integrated sensing and communications, non-coherent detection