Integrating radar sensing with backscatter communication in Vehicular Ad-hoc Networks (VANETs) offers a powerful solution. This work proposes a framework that integrates radar sensing, backscatter communication, and computing in VANETs. Specifically, multiple vehicular users offload tasks to a vehicular access point using backscatter communication while simultaneously detecting ambient vehicle positions. To assess system performance, we derive approximate closed-form expressions for the successful sensing and computation probability (SSCP) based on wireless channel statistics. We then validate these analytical results through Monte Carlo simulations, varying key parameters. The simulations demonstrate that the high transmit power, bandwidth, and backscatter coefficient significantly boosts the proposed system’s performance.

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Integrated Radar Sensing, Backscatter Communication, and Mobile Edge Computing in VANETs

  • Anh-Tuan Tran,
  • Van- Binh Phan,
  • Ngoc- Dinh Le,
  • Dac-Binh Ha

摘要

Integrating radar sensing with backscatter communication in Vehicular Ad-hoc Networks (VANETs) offers a powerful solution. This work proposes a framework that integrates radar sensing, backscatter communication, and computing in VANETs. Specifically, multiple vehicular users offload tasks to a vehicular access point using backscatter communication while simultaneously detecting ambient vehicle positions. To assess system performance, we derive approximate closed-form expressions for the successful sensing and computation probability (SSCP) based on wireless channel statistics. We then validate these analytical results through Monte Carlo simulations, varying key parameters. The simulations demonstrate that the high transmit power, bandwidth, and backscatter coefficient significantly boosts the proposed system’s performance.