Scholarlink

In the case of network impairment and poor link quality, offloading large data tasks may result in slow or failed transmission to base stations (BSs). To address this issue, we propose a transmission-computation integrated D2D routing strategy for large tasks in impaired cellular networks. This strategy searches for an optimal multi-hop D2D path, and then dynamically adjusts the computational load according to the terminals computing power. We construct a joint transmission and computation optimization model to minimize delay. We search for D2D path and optimize terminal computation load by a hybrid particle swarm combined with Keplerian optimization algorithm (HPSO-KOA). Simulation results indicate that the proposed strategy can significantly reduce large task delay when the link quality is poor.

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Transmission-Computation Integrated D2D Routing Strategy for Large Tasks in Impaired Cellular Networks

  • 会议论文

  • 发表日期：

    2026年

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  • Jiayan Luo,
  • Dongyu Li,
  • Dongying Wu,
  • Yuan Tang,
  • Guolun Huang,
  • Xuan Luo,
  • Hualiang Luo,
  • Fei Zheng

摘要

In the case of network impairment and poor link quality, offloading large data tasks may result in slow or failed transmission to base stations (BSs). To address this issue, we propose a transmission-computation integrated D2D routing strategy for large tasks in impaired cellular networks. This strategy searches for an optimal multi-hop D2D path, and then dynamically adjusts the computational load according to the terminals computing power. We construct a joint transmission and computation optimization model to minimize delay. We search for D2D path and optimize terminal computation load by a hybrid particle swarm combined with Keplerian optimization algorithm (HPSO-KOA). Simulation results indicate that the proposed strategy can significantly reduce large task delay when the link quality is poor.