Fully distributed multi-agent processing strategy applied to vehicular networks

IF 5.8 2区 计算机科学 Q1 TELECOMMUNICATIONS Vehicular Communications Pub Date : 2024-06-04 DOI:10.1016/j.vehcom.2024.100806
Vladimir R. de Lima, Marcello L.R. de Campos
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Abstract

This work explores distributed processing techniques, together with recent advances in multi-agent reinforcement learning (MARL) to implement a fully decentralized reward and decision-making scheme to efficiently allocate resources (spectrum and power). The method targets processes with strong dynamics and stringent requirements such as cellular vehicle-to-everything networks (C-V2X). In our approach, the C-V2X is seen as a strongly connected network of intelligent agents which adopt a distributed reward scheme in a cooperative and decentralized manner, taking into consideration their channel conditions and selected actions in order to achieve their goals cooperatively. The simulation results demonstrate the effectiveness of the developed algorithm, named Distributed Multi-Agent Reinforcement Learning (DMARL), achieving performances very close to that of a centralized reward design, with the advantage of not having the limitations and vulnerabilities inherent to a fully or partially centralized solution.

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应用于车载网络的全分布式多代理处理策略
这项工作探索了分布式处理技术,并结合多代理强化学习(MARL)的最新进展,实施了一种完全分散的奖励和决策方案,以有效分配资源(频谱和功率)。该方法的目标流程具有很强的动态性和严格的要求,如蜂窝车对万物网络(C-V2X)。在我们的方法中,C-V2X 被视为一个由智能代理组成的强连接网络,这些代理以合作和分散的方式采用分布式奖励方案,同时考虑到它们的信道条件和选定的行动,以合作实现它们的目标。仿真结果表明,所开发的名为分布式多代理强化学习(DMARL)的算法非常有效,其性能非常接近集中式奖励设计,但优点是没有完全或部分集中式解决方案固有的局限性和脆弱性。
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来源期刊
Vehicular Communications
Vehicular Communications Engineering-Electrical and Electronic Engineering
CiteScore
12.70
自引率
10.40%
发文量
88
审稿时长
62 days
期刊介绍: Vehicular communications is a growing area of communications between vehicles and including roadside communication infrastructure. Advances in wireless communications are making possible sharing of information through real time communications between vehicles and infrastructure. This has led to applications to increase safety of vehicles and communication between passengers and the Internet. Standardization efforts on vehicular communication are also underway to make vehicular transportation safer, greener and easier. The aim of the journal is to publish high quality peer–reviewed papers in the area of vehicular communications. The scope encompasses all types of communications involving vehicles, including vehicle–to–vehicle and vehicle–to–infrastructure. The scope includes (but not limited to) the following topics related to vehicular communications: Vehicle to vehicle and vehicle to infrastructure communications Channel modelling, modulating and coding Congestion Control and scalability issues Protocol design, testing and verification Routing in vehicular networks Security issues and countermeasures Deployment and field testing Reducing energy consumption and enhancing safety of vehicles Wireless in–car networks Data collection and dissemination methods Mobility and handover issues Safety and driver assistance applications UAV Underwater communications Autonomous cooperative driving Social networks Internet of vehicles Standardization of protocols.
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