基于全双工MIMO的AAV与智能网联车协同通信上行中断概率分析

IF 4.4 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-07-02 DOI:10.1109/LCOMM.2025.3585337

Yixin He;Fanghui Huang;Dawei Wang;Xingchen Zhou;Ruonan Zhang

{"title":"基于全双工MIMO的AAV与智能网联车协同通信上行中断概率分析","authors":"Yixin He;Fanghui Huang;Dawei Wang;Xingchen Zhou;Ruonan Zhang","doi":"10.1109/LCOMM.2025.3585337","DOIUrl":null,"url":null,"abstract":"The rapid advancement of intelligent transportation systems necessitates reliable vehicular communication, yet traditional infrastructure struggles with coverage limitations in dynamic environments. To address the above issue, this letter investigates the uplink outage probability in cooperative communication between the autonomous aerial vehicle (AAV) and intelligent connected vehicles (ICVs) using the full-duplex multiple-input multiple-output (MIMO) technique. First, for non-static MIMO scenarios, we develop a joint effect model by jointly considering the self-interference, co-channel interference and noise, aiming to maximize channel gain. Next, we derive a closed-form expression for the uplink outage probability by employing the Laplace transform of the interference. To reduce complexity, an approximate expression for the uplink outage probability is proposed according to a dynamic truncation criterion. Based on this, we derive a theoretical upper bound for the approximation error. Finally, the simulation results demonstrate that the proposed scheme significantly reduces the outage probability compared to state-of-the-art schemes, with the approximate solution showing less than 6% error and requiring only 7% of the computational time of the closed-form solution. Additionally, the impact of transmission power, antenna configurations, and retained higher-order terms on the outage probability is thoroughly analyzed.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 9","pages":"2068-2072"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uplink Outage Probability Analysis of AAV and Intelligent Connected Vehicle Cooperative Communication Using Full-Duplex MIMO\",\"authors\":\"Yixin He;Fanghui Huang;Dawei Wang;Xingchen Zhou;Ruonan Zhang\",\"doi\":\"10.1109/LCOMM.2025.3585337\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapid advancement of intelligent transportation systems necessitates reliable vehicular communication, yet traditional infrastructure struggles with coverage limitations in dynamic environments. To address the above issue, this letter investigates the uplink outage probability in cooperative communication between the autonomous aerial vehicle (AAV) and intelligent connected vehicles (ICVs) using the full-duplex multiple-input multiple-output (MIMO) technique. First, for non-static MIMO scenarios, we develop a joint effect model by jointly considering the self-interference, co-channel interference and noise, aiming to maximize channel gain. Next, we derive a closed-form expression for the uplink outage probability by employing the Laplace transform of the interference. To reduce complexity, an approximate expression for the uplink outage probability is proposed according to a dynamic truncation criterion. Based on this, we derive a theoretical upper bound for the approximation error. Finally, the simulation results demonstrate that the proposed scheme significantly reduces the outage probability compared to state-of-the-art schemes, with the approximate solution showing less than 6% error and requiring only 7% of the computational time of the closed-form solution. Additionally, the impact of transmission power, antenna configurations, and retained higher-order terms on the outage probability is thoroughly analyzed.\",\"PeriodicalId\":13197,\"journal\":{\"name\":\"IEEE Communications Letters\",\"volume\":\"29 9\",\"pages\":\"2068-2072\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Communications Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11063273/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11063273/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}

引用次数: 0

摘要

智能交通系统的快速发展需要可靠的车辆通信，然而传统的基础设施在动态环境中受到覆盖限制。为了解决上述问题，本文研究了采用全双工多输入多输出（MIMO）技术的自主飞行器（AAV）和智能网联飞行器（icv）之间合作通信中的上行链路中断概率。首先，对于非静态MIMO场景，我们建立了一个联合效应模型，共同考虑自干扰、同信道干扰和噪声，以最大化信道增益。接下来，我们利用干扰的拉普拉斯变换推导出上行链路中断概率的封闭表达式。为了降低复杂度，根据动态截断准则提出了上行链路中断概率的近似表达式。在此基础上，导出了近似误差的理论上界。最后，仿真结果表明，与现有方案相比，该方案显著降低了中断概率，近似解的误差小于6%，计算时间仅为封闭形式解的7%。此外，深入分析了传输功率、天线配置和保留的高阶项对中断概率的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Uplink Outage Probability Analysis of AAV and Intelligent Connected Vehicle Cooperative Communication Using Full-Duplex MIMO

The rapid advancement of intelligent transportation systems necessitates reliable vehicular communication, yet traditional infrastructure struggles with coverage limitations in dynamic environments. To address the above issue, this letter investigates the uplink outage probability in cooperative communication between the autonomous aerial vehicle (AAV) and intelligent connected vehicles (ICVs) using the full-duplex multiple-input multiple-output (MIMO) technique. First, for non-static MIMO scenarios, we develop a joint effect model by jointly considering the self-interference, co-channel interference and noise, aiming to maximize channel gain. Next, we derive a closed-form expression for the uplink outage probability by employing the Laplace transform of the interference. To reduce complexity, an approximate expression for the uplink outage probability is proposed according to a dynamic truncation criterion. Based on this, we derive a theoretical upper bound for the approximation error. Finally, the simulation results demonstrate that the proposed scheme significantly reduces the outage probability compared to state-of-the-art schemes, with the approximate solution showing less than 6% error and requiring only 7% of the computational time of the closed-form solution. Additionally, the impact of transmission power, antenna configurations, and retained higher-order terms on the outage probability is thoroughly analyzed.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.