基于联合学习的移动小蜂窝网络动态资源分配轨迹预测

IF 5.8 2区 计算机科学 Q1 TELECOMMUNICATIONS Vehicular Communications Pub Date : 2024-03-21 DOI:10.1016/j.vehcom.2024.100766
Saniya Zafar , Sobia Jangsher , Adnan Zafar
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引用次数: 0

摘要

随着第五代(5G)移动通信的发展,车载边缘计算(VEC)和移动小基站(MSC)网络因其能够为车辆用户提供更好的服务质量(QoS)而备受关注。支持 VEC 的 MSC 网络的最终目标是减少车辆穿透效应和路径损耗,从而提高车辆用户的网络性能。本文探讨了在支持 VEC 的 MSC 网络中,为具有概率移动性的 MSC 的前端链路分配分布式资源块 (RB)。所提议的工作利用了部署在道路两侧的路侧单元(RSU)与 VEC 服务器的计算能力,通过交换有限信息,以分布式方式为 MSC 分配资源,目的是最大限度地提高 MSC 网络的数据传输速率。此外,我们还提出了基于联合学习(FL)的移动卫星位置预测,以提前预测移动卫星的轨迹,从而有效预测移动卫星网络的资源分配。仿真结果表明,基于位置预测的分布式资源分配与基于时间间隔干扰图的集中式资源分配在 RB 利用率和 MSC 网络平均可实现数据速率方面进行了比较。为了进行比较,我们进一步研究了基于集中式和分布式阈值时间相关干扰图的 MSC 网络资源分配。
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Federated learning-based trajectory prediction for dynamic resource allocation in moving small cell networks

With the evolution of fifth generation (5G) of mobile communication, vehicular edge computing (VEC) and moving small cell (MSC) network are gaining attention because of their capability to provide improved quality-of-service (QoS) to vehicular users. The ultimate goal of VEC-enabled MSC network is to diminish the vehicular penetration effect and path loss resulting in improved network performance for vehicular users. In this paper, we explore distributed resource block (RB) allocation for fronthaul links of MSCs with probabilistic mobility in VEC-enabled MSC network. The proposed work exploits the computational power of road side units (RSUs) deployed with VEC servers present along the road sides to allocate the resources to MSCs in a distributed manner by exchanging limited information, with the objective of maximizing the data rate achieved by MSC network. Moreover, we propose federated learning (FL)-based position prediction of MSCs to predict the trajectory of MSCs in advance for efficient prediction of resource allocation in MSC network. Simulations results are presented to compare the position prediction dependent distributed and centralized time interval dependent interference graph-based resource allocation to MSCs in terms of RB utilization and average achievable data rate of MSC network. For comparison, we further investigated centralized as well as distributed threshold time dependent interference graph-based allocation of resources to MSC network.

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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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