Stackelberg Game-Based Crowdsourcing for Hybrid V2X Communications

被引:0
作者
Deng, Zhenjie [1 ]
Wan, Dehuan [1 ]
Wu, Chunhui [1 ]
Bian, Chen [1 ]
Liu, Dacai [1 ]
机构
[1] Guangdong Univ Finance, Sch Internet Finance & Informat Engn, Guangzhou 510521, Peoples R China
基金
中国国家自然科学基金;
关键词
Relays; Vehicle-to-everything; Games; Throughput; Crowdsourcing; Resource management; Pedestrians; Nash equilibrium; Costs; Base stations; Stackelberg game; hybrid V2X network; RESOURCE-ALLOCATION;
D O I
10.1109/LCOMM.2024.3469243
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Crowdsourcing among vehicles, pedestrians, and Base Stations (BSs) in hybrid V2X networks offers a promising approach to enhance subscriber experience by increasing throughput, ensuring driving safety, and supporting autonomous driving. In this letter, we focus on a cooperative hybrid V2X network where vehicles can transmit data directly from base stations through cellular networks or use other vehicles as relays. After recruiting the relay clients to provide cooperative transmission service, the primary client determines how to allocate its traffic among them. Both primary and relay clients aim to maximize their respective reward. This model is formulated as a Stackelberg game. The existence and uniqueness of the Nash Equilibrium (NE) point is achieved under constraints. Simulation results demonstrate that cooperation among vehicles and pedestrians improves the performance of primary clients and encourages relay client participation.
引用
收藏
页码:2593 / 2597
页数:5
相关论文
共 13 条
[1]   Cyber Deception for Wireless Network Virtualization using Stackelberg Game Theory [J].
Adebayo, Abdulhamid A. ;
Rawat, Danda B. .
2021 IEEE 18TH ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2021,
[2]   Challenges and Solutions for Cellular Based V2X Communications [J].
Gyawali, Sohan ;
Xu, Shengjie ;
Qian, Yi ;
Hu, Rose Qingyang .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2021, 23 (01) :222-255
[3]   Game-Theoretic Modeling of Backscatter Wireless Sensor Networks Under Smart Interference [J].
Hong, Seung Gwan ;
Hwang, Yu Min ;
Lee, Sun Yui ;
Shin, Yoan ;
Kim, Dong In ;
Kim, Jin Young .
IEEE COMMUNICATIONS LETTERS, 2018, 22 (04) :804-807
[4]   A Dynamic Hierarchical Game Approach for User Association and Resource Allocation in HetNets With Wireless Backhaul [J].
Huang, Bo ;
Guo, Aihuang .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (01) :59-63
[5]   Intelligent Transportation Systems in the Context of 5G-Beyond and 6G Networks [J].
Kilanioti, Irene ;
Rizzo, Gianluca ;
Masini, Barbara M. ;
Bazzi, Alessandro ;
Osorio, Diana P. M. ;
Linsalata, Francesco ;
Magarini, Maurizio ;
Loschenbrand, David ;
Zemen, Thomas ;
Kliks, Adrian .
2022 IEEE CONFERENCE ON STANDARDS FOR COMMUNICATIONS AND NETWORKING, CSCN, 2022, :82-88
[6]   Resource Allocation in D2D Enabled Vehicular Communications: A Robust Stackelberg Game Approach Based on Price-Penalty Mechanism [J].
Liu, Zhixin ;
Su, Jiawei ;
Xie, Yuan-ai ;
Ma, Kai ;
Yang, Yi ;
Guan, Xinping .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (08) :8186-8200
[7]   DeepAntiJam: Stackelberg Game-Oriented Secure Transmission via Deep Reinforcement Learning [J].
Lu, Jianzhong ;
He, Dongxuan ;
Wang, Zhaocheng .
IEEE COMMUNICATIONS LETTERS, 2022, 26 (09) :1984-1988
[8]   Evolutionary Game Based Strategy Selection for Hybrid V2V Communications [J].
Ming, Yang ;
Chen, Jiaxuan ;
Dong, Yuhan ;
Wang, Zhaocheng .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (02) :2128-2133
[9]   Resource Allocation for Multi-Tenant Network Slicing: A Multi-Leader Multi-Follower Stackelberg Game Approach [J].
Thinh Duy Tran ;
Long Bao Le .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (08) :8886-8899
[10]  
Xie J., 2020, P IEEE 91 VEH TECHN, P1