可重构智能反射面辅助的车联网资源分配算法研究

陈发堂; 张若凡

doi:10.11959/j.issn.1000-436x.2023145

您当前的位置：

首页 >

文章列表页 >

可重构智能反射面辅助的车联网资源分配算法研究

学术论文 | 更新时间：2024-06-06

- 可重构智能反射面辅助的车联网资源分配算法研究
- Research on IoV resource allocation algorithm assisted by reconfigurable intelligent surface
- 通信学报 2023年44卷第9期页码：70-78
- 作者机构：
  
  重庆邮电大学通信与信息工程学院，重庆 400065
- 作者简介：
  
  [ "陈发堂（1965- ），男，重庆人，重庆邮电大学研究员、硕士生导师，主要研究方向为物理层算法、可重构智能反射面等" ]
  [ "张若凡（2001- ），男，湖北荆州人，重庆邮电大学硕士生，主要研究方向为车联网物理层协议、可重构智能反射面等" ]
- 基金信息：
  
  重庆市自然科学基金资助项目(cstc2021jcyj-msxmX0454)
- DOI：10.11959/j.issn.1000-436x.2023145
  中图分类号： TN929.5
- 网络首发：2023-09，
  
  纸质出版：2023-09-25
- 稿件说明：
移动端阅览
陈发堂, 张若凡. 可重构智能反射面辅助的车联网资源分配算法研究[J]. 通信学报, 2023,44(9):70-78.

Fatang CHEN, Ruofan ZHANG. Research on IoV resource allocation algorithm assisted by reconfigurable intelligent surface[J]. Journal on Communications, 2023, 44(9): 70-78.
陈发堂, 张若凡. 可重构智能反射面辅助的车联网资源分配算法研究[J]. 通信学报, 2023,44(9):70-78. DOI： 10.11959/j.issn.1000-436x.2023145.

Fatang CHEN, Ruofan ZHANG. Research on IoV resource allocation algorithm assisted by reconfigurable intelligent surface[J]. Journal on Communications, 2023, 44(9): 70-78. DOI： 10.11959/j.issn.1000-436x.2023145.

摘要

面对车辆通信对通信质量和频谱效率的更高要求，提出了一种可重构智能反射面（RIS）辅助的车联网资源分配算法。联合考虑RIS反射系数矩阵、功率分配和频谱共享方案，在确保V2V链路的可靠性条件下，建立一个V2I链路总容量最大化问题。由于该问题是一个变量之间高度耦合的非凸优化问题，难以直接求解。因此，在引入解析表达式近似V2V链路的中断概率后，利用块坐标下降（BCD）法将此问题分解为3个子问题，并通过引入辅助变量、逐次凸逼近（SCA）、匈牙利算法等对子问题进行求解，进而得到问题的近似次优解。仿真结果表明，所提算法具有良好的收敛性能，并能够有效地提高V2I链路总容量。

Abstract

In order to meet the higher requirements of vehicle communication quality and spectral efficiency

a IoV resource allocation algorithm assisted by reconfigurable intelligent surface (RIS) was proposed.The RIS reflection coefficient matrix

power allocation

and spectrum sharing schemes were combined to solve the problem of maximizing the total capacity of V2I link under the condition of ensuring the reliability of V2V link.As this problem was a non-convex optimization problem with highly coupled variables

it was difficult to solve it directly.Therefore

after introducing an analytic expression to approximate the interrupt probability of V2V link

the problem was decomposed into three sub-problems by using the block coordinate descent (BCD) method

and the sub-problems were solved by introducing auxiliary variables

successive convex approximation (SCA)

Hungarian algorithm

etc.

and then the approximate suboptimal solution of the problem was obtained.Simulation results show that the proposed algorithm has good convergence performance and can effectively improve the total capacity of V2I link.

关键词

Keywords

references

JAMEEL F , WYNE S , NAWAZ S J , et al . Propagation channels for mmWave vehicular communications:state-of-the-art and future research directions [J ] . IEEE Wireless Communications , 2019 , 26 ( 1 ): 144 - 150 .

CHEN Y B , WANG Y , WANG Z C . Reconfigurable intelligent surface aided high-mobility millimeter wave communications with dynamic dual-structured sparsity [J ] . IEEE Transactions on Wireless Communications , 2023 , 22 ( 7 ): 4580 - 4599 .

CHEN Y B , WANG Y , ZHANG J Y , et al . Reconfigurable intelligent surface (RIS)-aided vehicular networks:their protocols,resource allocation,and performance [J ] . IEEE Vehicular Technology Magazine , 2022 , 17 ( 2 ): 26 - 36 .

ZHU Y S , MAO B M , KATO N . Intelligent reflecting surface in 6G vehicular communications:a survey [J ] . IEEE Open Journal of Vehicular Technology , 2022 , 3 : 266 - 277 .

YANG Y F , ZHANG S W , ZHANG R . IRS-enhanced OFDMA:joint resource allocation and passive beamforming optimization [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 6 ): 760 - 764 .

LONG H , CHEN M , YANG Z H , et al . Joint trajectory and passive beamforming design for secure UAV networks with RIS [C ] // Proceedings of IEEE Globecom Workshops . Piscataway:IEEE Press , 2021 : 1 - 6 .

SALHAB A M , SAMUH M H . Accurate performance analysis of reconfigurable intelligent surfaces over Rician fading channels [J ] . IEEE Wireless Communications Letters , 2021 , 10 ( 5 ): 1051 - 1055 .

CHEN Y B , WANG Y , ZHANG J Y , et al . Resource allocation for intelligent reflecting surface aided vehicular communications [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 10 ): 12321 - 12326 .

GU X H , DUAN W , ZHANG G A , et al . Socially aware V2X networks with RIS:joint resource optimization [J ] . IEEE Transactions on Vehicular Technology , 2022 , 71 ( 6 ): 6732 - 6737 .

YANG L , MENG F X , WU Q Q , et al . Accurate closed-form approximations to channel distributions of RIS-aided wireless systems [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 11 ): 1985 - 1989 .

WANG J , ZHANG W C , BAO X , et al . Outage analysis for intelligent reflecting surface assisted vehicular communication networks [C ] // Proceedings of IEEE Global Communications Conference . Piscataway:IEEE Press , 2021 : 1 - 6 .

LIANG L , XIE S J , LI G Y , et al . Graph-based resource sharing in vehicular communication [J ] . IEEE Transactions on Wireless Communications , 2018 , 17 ( 7 ): 4579 - 4592 .

HAN Y , TANG W K , JIN S , et al . Large intelligent surface-assisted wireless communication exploiting statistical CSI [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 8 ): 8238 - 8242 .

WU Q Q , ZHANG R . Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming [J ] . IEEE Transactions on Wireless Communications , 2019 , 18 ( 11 ): 5394 - 5409 .

CHEN Y B , WANG Y , ZHANG J Y , et al . QoS-driven spectrum sharing for reconfigurable intelligent surfaces (RISs) aided vehicular networks [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 9 ): 5969 - 5985 .

BOYD S P , VANDENBERGHE L . Convex optimization [M ] . New York : Cambridge , 2004 .

高随祥 . 图论与网络流理论 [M ] . 北京 : 高等教育出版社 , 2009 .

GAO S X . Graph theory,network flow theory [M ] . Beijing : Higher Education Press , 2001 .

3GPP . Technical specification group radio access network:study on lte based V2X services:TR 36.885 [S ] . 2016 .

GU X H , ZHANG G A , JI Y C , et al . Intelligent surface aided D2D-V2X system for low-latency and high-reliability communications [J ] . IEEE Transactions on Vehicular Technology , 2022 , 71 ( 11 ): 11624 - 11636 .

浏览量

645

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于区域感知的通感算协同网络语义通信可靠性联合优化

面向能效最大化的自供电RIS辅助SWIPT物联网资源分配方法

智能反射表面辅助的车载边缘任务卸载和资源分配策略

基于多时间尺度协同的无蜂窝RAN切片资源分配算法

基于深度学习的通感一体化系统综述