车联网业务特性模型下卸载反馈策略的设计与评估

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中图分类号:TN915.01 文献标志码:A 文章编号:1000-582X(2025)08-086-13

Design and evaluation of an offload feedback strategy framework based on a service characteristic model in the internet of vehicles

WANG Shi, CAO Dayanab, ZHU Xiaoyingab, WANG Mingyua, WANG Haoyinga (a.SchoolofElectronic and Information Engineering; b.Institute of Graduate,Liaoning Technical University, Huludao,Liaoning,P.R. China)

Abstract: With the proliferation of diverse service characteristics in the internet of vehicles (IoV)under the mobile edge computing (MEC) paradigm,evaluating server-to-end transmission performance presents a significant challenge,particularly due to the complex modeling requirements that must account for service-specific traits in offload feedback strategies.To address this,acache scheduling evaluation framework is proposed,incorporating time-varying and multi-type services based on queuing theory and a Markov-modulated service procesThe proposed framework supports flexible adjustments to service characteristics,bidirectional procesing rates,and offload feedback strategies,enabling itto adapt to various communication environments.Within this framework, an offload feedback strategy based onstatistical prediction is proposed.Numerical simulationsshow that the the proposed strategy improves transmission performance by approximately 50% compared with traditional approaches. These findings indicate that the proposed framework provides a valuable reference for designing adaptive strategies under diverse network conditions and hardware configurations.

Keywords: internet of vehicles; mobile edge computing; sevice modeling; Markov-modulated services; resource allocation

近年来,随着无线通信和物联网技术的发展,车联网(internet ofvehicles,IoV)已成为5G的重要应用场景。(剩余14619字)

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