| 注册
首页|期刊导航|通信学报|基于5G车联网城市二维覆盖的低功耗路边单元部署策略

基于5G车联网城市二维覆盖的低功耗路边单元部署策略

杨新杰 王帅 马楠

通信学报2025,Vol.46Issue(4):187-198,12.
通信学报2025,Vol.46Issue(4):187-198,12.DOI:10.11959/j.issn.1000-436x.2025070

基于5G车联网城市二维覆盖的低功耗路边单元部署策略

Low-power-consumption road side unit deployment strategy for urban 2-D 5G Internet of vehicles

杨新杰 1王帅 1马楠2

作者信息

  • 1. 宁波大学信息科学与工程学院,浙江 宁波 315211
  • 2. 北京邮电大学信息与通信工程学院,北京 100876
  • 折叠

摘要

Abstract

In urban Internet of vehicles(IoV)systems,the road side unit(RSU)was commonly deployed at road intersec-tions to provide two-dimensional service coverage.However,due to vehicle dynamics,RSU might suffer from massive power waste.A novel RSU deployment strategy was proposed that dynamically adjusted the operating mode and trans-mission power of RSU,based on the spatial distribution of vehicles.An adaptive mapping mechanism between RSU power consumption and vehicle distribution patterns was established that overcame the power consumption bottleneck caused by traditional RSU's fixed coverage to minimize the total power consumption of RSU.Furthermore,the concept of candidate communication service area(CCSA)was introduced,utilized in combination with an exploratory RSU de-ployment algorithm(ERDA)and an enhanced genetic algorithm(eGA)to implement the RSU deployment strategy.Analysis and simulation results indicate that,compared with conventional methods,the proposed RSU deployment stra-tegy significantly reduces redundant road coverage,leading to minimized RSU power consumption.In low vehicle den-sity,the ERDA can achieve optimal solutions with low computational complexity.In high vehicle density,the eGA pro-vides a reasonable balance between complexity and performance.Therefore,the proposed strategy provides practical en-gineering guidance for urban transportation systems.

关键词

二维车联网/路边单元/候选通信服务区域/遗传算法

Key words

2-D Internet of vehicles/road side unit/candidate communication service area/genetic algorithm

分类

信息技术与安全科学

引用本文复制引用

杨新杰,王帅,马楠..基于5G车联网城市二维覆盖的低功耗路边单元部署策略[J].通信学报,2025,46(4):187-198,12.

基金项目

宁波市自然科学基金资助项目(No.2019A610073) The Natural Science Foundation of Ningbo City(No.2019A610073) (No.2019A610073)

通信学报

OA北大核心

1000-436X

访问量5
|
下载量0
段落导航相关论文