智能网联汽车多样化服务场景下功率与频谱联合优化算法

张海波; 胡雨婷; 胡艳丽; 徐勇军; 李永福

doi:10.11959/j.issn.1000-436x.2026072

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智能网联汽车多样化服务场景下功率与频谱联合优化算法

学术论文 | 更新时间：2026-05-07

- 智能网联汽车多样化服务场景下功率与频谱联合优化算法
- Joint power and spectrum optimization algorithm for ICV in diverse service scenarios
- 通信学报 2026年47卷第4期页码：181-191
- 作者机构：
  
  1.重庆邮电大学通信与信息工程学院，重庆 400065
  2.重庆市沙坪坝区歌乐山旅游景区事务中心，重庆 400036
  3.重庆邮电大学自动化学院，重庆 400065
- 作者简介：
  
  [ "张海波（1979- ），男，重庆人，博士，重庆邮电大学副教授，主要研究方向为车联网、区块链、资源分配等。" ]
  [ "胡雨婷（2000- ），女，安徽淮南人，重庆邮电大学硕士生，主要研究方向为车联网、资源分配等。" ]
  [ "胡艳丽（1983- ），女，山西朔州人，重庆市沙坪坝区歌乐山旅游景区事务中心中级工程师，主要研究方向为无线通信等。" ]
  [ "徐勇军（1986- ），男，湖北赤壁人，博士，重庆邮电大学教授，主要研究方向为反向散射通信、智能反射表面、通感一体化等。" ]
  [ "李永福（1983- ），男，重庆人，博士，重庆邮电大学教授，主要研究方向为智能网联汽车、智能交通系统和无人机集群控制等。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(SQ2023YFB250002402);国家自然科学基金资助项目(62371082;U23A20279;62271094)
- DOI：10.11959/j.issn.1000-436x.2026072
  中图分类号： TN929.5
- 收稿：2026-01-05，
  
  修回：2026-03-10，
  
  录用：2026-03-11，
  
  纸质出版：2026-04-20
- 稿件说明：
移动端阅览
张海波,胡雨婷,胡艳丽等.智能网联汽车多样化服务场景下功率与频谱联合优化算法[J].通信学报,2026,47(04):181-191.

Zhang Haibo,Hu Yuting,Hu Yanli,et al.Joint power and spectrum optimization algorithm for ICV in diverse service scenarios[J].Journal on Communications,2026,47(04):181-191.
张海波,胡雨婷,胡艳丽等.智能网联汽车多样化服务场景下功率与频谱联合优化算法[J].通信学报,2026,47(04):181-191. DOI： 10.11959/j.issn.1000-436x.2026072.

Zhang Haibo,Hu Yuting,Hu Yanli,et al.Joint power and spectrum optimization algorithm for ICV in diverse service scenarios[J].Journal on Communications,2026,47(04):181-191. DOI： 10.11959/j.issn.1000-436x.2026072.

摘要

针对智能网联汽车协同通信场景中日益增长的多样化服务需求，提出了一种基于链路自适应的功率控制与频谱共享联合资源分配方案，从而实现异构协同通信场景下的差异化资源分配。首先，构建了一个包含车到基础设施（V2I）和车到车（V2V）链路的异构网络模型，并提出了在发射功率和频谱资源受限的条件下，最大化系统加权和速率的优化问题。在此基础上，提出了一种基于几何规划理论的最优功率控制策略，并推导出了在不同加权因子下的闭式功率分配解，在有效降低计算复杂度的同时，保证了车辆用户的服务质量。最后，设计了功率控制与频谱共享的联合优化算法，进一步提升了系统整体性能。仿真结果表明，与基准算法相比，所提算法在系统加权和速率方面提升了33.7%。

Abstract

To address the problem of the increasingly diverse service demands in the cooperative communication scenarios of intelligent connected vehicles

a joint resource allocation scheme based on link adaptation was proposed for power control and spectrum sharing

thereby achieving differentiated resource allocation in heterogeneous cooperative communication scenarios. Firstly

a heterogeneous network model including vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) links was constructed

and an optimization problem was proposed to maximize the system’s weighted sum rate under the constraints of limited transmit power and spectrum resources. Secondly

an optimal power control strategy based on geometric programming theory was proposed

and a closed form power solution was derived under different weighting factors. While effectively reducing computational complexity

the service quality of vehicle users was ensured. Finally

a joint optimization algorithm for power control and spectrum sharing was proposed

further improving the overall system performance. Compared to the benchmark algorithm

the weighted sum rate is improved by approximately 33.7%.

关键词

Keywords

references

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