Age of Information, Latency, and Reliability in Intelligent Vehicular Networks

被引：21

作者：

Guo, Chongtao ^{[1
]}

Wang, Xijun ^{[2
]}

Liang, Le ^{[3
]}

Li, Geoffrey Ye ^{[4
]}

机构：

[1] Shenzhen Univ, Coll Elect & Informat Engn, Shenzhen 518060, Peoples R China

[2] Sun Yat Sen Univ, Sch Elect & Informat Technol, Guangzhou 510006, Peoples R China

[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China

[4] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2BT, England

来源：

IEEE NETWORK | 2023年 / 37卷 / 06期

基金：

中国国家自然科学基金;

关键词：

COMMUNICATION;

D O I：

10.1109/MNET.124.2200132

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Autonomous driving and intelligent transportation have posed stringent requirements on different performance metrics of vehicle-to-everything (V2X) communications depending on the wireless service being carried. Such coexisting heterogeneous performance requirements bring about increasing challenge in managing modern vehicular networks. In this article, we categorize wireless vehicular traffic into two kinds, namely, status update service and data communication service, where in safety-related applications the former is concerned with age of information (AoI) while the latter cares about latency and reliability in general. Afterwards, we uncover the relationship among AoI, latency, and reliability, and propose a novel graphical packet delivery model that is powerful for analyzing AoI performance. To unify the AoI, latency, and reliability management for different services, we further develop an intelligent resource allocation framework validated by a quantitative case study. Finally, we explore key challenges and opportunities to address the coexistence of status update and data communication services in intelligent vehicular networks.

引用

页码：109 / 116

页数：8

共 15 条

[1] Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach [J].

Abdel-Aziz, Mohamed K. ;

Samarakoon, Sumudu ;

Bennis, Mehdi ;

Saad, Walid .

IEEE COMMUNICATIONS LETTERS, 2020, 24 (02) :367-370

[2] Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale [J].

Bennis, Mehdi ;

Debbah, Merouane ;

Poor, H. Vincent .

PROCEEDINGS OF THE IEEE, 2018, 106 (10) :1834-1853

[3] A Vision of C-V2X: Technologies, Field Testing, and Challenges With Chinese Development [J].

Chen, Shanzhi ;

Hu, Jinling ;

Shi, Yan ;

Zhao, Li ;

Li, Wen .

IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (05) :3872-3881

[4]

Choudhury B., 2020, P IEEE 91 VEH TECHN, P1

[5] Effective Bandwidth of General Markovian Traffic Sources and Admission Control of High Speed Networks [J].

Elwalid, Anwar I. ;

Mitra, Debasis .

IEEE-ACM TRANSACTIONS ON NETWORKING, 1993, 1 (03) :329-343

[6] Age of Information in Energy Harvesting Aided Massive Multiple Access Networks [J].

Fang, Zhengru ;

Wang, Jingjing ;

Ren, Yong ;

Han, Zhu ;

Poor, H. Vincent ;

Hanzo, Lajos .

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (05) :1441-1456

[7] Resource Allocation for V2X Communications: A Large Deviation Theory Perspective [J].

Guo, Chongtao ;

Liang, Le ;

Li, Geoffrey Ye .

IEEE WIRELESS COMMUNICATIONS LETTERS, 2019, 8 (04) :1108-1111

[8] Age of Information Aware UAV Deployment for Intelligent Transportation Systems [J].

Han, Rui ;

Wen, Yongqing ;

Bai, Lin ;

Liu, Jianwei ;

Choi, Jinho .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (03) :2705-2715

[9] AI-Assisted Low Information Latency Wireless Networking [J].

Jiang, Zhiyuan ;

Fu, Siyu ;

Zhou, Sheng ;

Niu, Zhisheng ;

Zhang, Shunqing ;

Xu, Shugong .

IEEE WIRELESS COMMUNICATIONS, 2020, 27 (01) :108-115

[10]

Kaul S, 2012, IEEE INFOCOM SER, P2731, DOI 10.1109/INFCOM.2012.6195689

← 1 2 →