GASBO:基于用户分组的梯度平均减法优化,用于基于 NOMA 的雾计算车载网络

IF 5.8 2区 计算机科学 Q1 TELECOMMUNICATIONS
C Kumara Narayana Swamy, T Velmurugan
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引用次数: 0

摘要

用于雾计算(FC)的车联网(IoV)可解决交通拥堵、运输效率和隐私等问题。非正交多址接入(NOMA)是一种流行的技术,可提高频谱效率并增强网络的接入能力。NOMA 和 FC 无线接入网络之间的同步扩展了增强型网络或车载网络的应用,以及其他前景广阔的用途。然而,随着用户车辆和移动数据的快速增长,现有的 IoV 因其有限的灵活性而无法满足现代智能交通的实际和可靠通信需求。为了克服这一问题,我们提出了一种基于用户分组的混合优化框架,用于基于 NOMA 的 FC 车辆网络(FCVR)的资源分配,命名为基于梯度平均减法的优化(GASBO)。首先,模拟基于 NOMA 的 FCVR。在 GASBO 的基础上,利用信噪比和用户距离对用户进行分组。最后,使用建议的 GASBO 实现资源分配,该方法结合了梯度下降优化和基于平均减法的优化。分析得出的能效、吞吐量、子信道效用、容量和惩罚函数分别为 5,366,844,362.870 比特/焦耳、883.411 Mbps、82.031、2316.337 和 0.011。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GASBO: User grouping–based gradient average subtraction–based optimisation for NOMA-based fog computing vehicular network

The Internet of Vehicles (IoV) for fog computing (FC) addresses issues such as traffic congestion, transportation efficiency, and privacy. Non-orthogonal multiple access (NOMA) is a popular technology that enhances spectral efficiency and increases the network's access capability. The synchronisation between NOMA and FC radio access networks extends the application of augmented or vehicular networking and other promising uses. However, with the rapid increase in user vehicles and mobile data, the existing IoV has not succeeded in meeting the real-world and dependable communication needs of modern intelligent transportation due to its limited flexibility. To overcome this, we propose a user grouping-based hybrid optimistic framework for resource allocation in NOMA-based FC vehicular networks (FCVR), named the gradient average subtraction-based optimisation (GASBO). Initially, the NOMA-based FCVR is simulated. User grouping is performed based on GASBO using the signal-to-interference-plus-noise ratio and user distance. Finally, resource allocation is achieved using the proposed GASBO, which combines gradient descent optimisation and average subtraction-based optimisation. The analytic measures obtained for energy efficiency, throughput, sub-channel utility, capacity, and penalty function are 5,366,844,362.870 bits/joule, 883.411 Mbps, 82.031, 2316.337, and 0.011, respectively.

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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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