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Joint MEC and ISAC Design in HetNets with SIM-Aided Wireless Backhaul

  • Jinsong Chen
  • , Jinping Niu
  • , Maiqian Lyu
  • , Tao Gu
  • , Jiancun Fan
  • , Yanyan Li
  • Northwest University China
  • Macquarie University
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

Abstract

This work focuses on the integrated sensing, communication, and computation (SCC) for Internet of Vehicles (IoV) in wireless-backhaul heterogeneous networks (HetNets). The wireless backhaul performance of HetNets is typically limited by constrained capacity and severe interference. To address these challenges, stacked intelligent metasurfaces (SIM) is introduced into the wireless-backhaul HetNets. In the SIM-assisted IoV HetNet SCC system, a multi-objective optimization problem is formulated with the objectives of minimizing computation offloading energy consumption and maximizing the sensing beampattern gain of vehicular terminals (VTs). An alternating optimization framework is proposed to jointly optimize VTs computation offloading, SIM passive beamforming, sensing and communication precoding, and mobile edge computing (MEC) resource allocation. Simulation results demonstrate that the proposed scheme effectively balances energy efficiency and sensing performance, achieving significant improvements in both overall energy efficiency and sensing capability compared with conventional approaches.

Original languageEnglish
JournalIEEE Sensors Journal
DOIs
StateAccepted/In press - 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • communication
  • computation
  • heterogeneous networks (HetNets)
  • integrated sensing
  • internet of vehicles (IoV)
  • Mobile edge computing (MEC)
  • stacked intelligent metasurface (SIM)

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