在 SCMA 辅助无人机系统中实现总速率最大化的资源管理

IF 5.8 2区 计算机科学 Q1 TELECOMMUNICATIONS
Saumya Chaturvedi , Vivek Ashok Bohara , Zilong Liu , Anand Srivastava , Pei Xiao
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引用次数: 0

摘要

本文提出了一种用于优化稀疏码多址(SCMA)辅助无人机下行系统和速率的资源管理框架。我们制定了两个优化问题来最大化总体和速率:第一个问题解决了无人机的3D部署和能量约束下的轨迹优化问题,而第二个问题侧重于优化SCMA子载波和功率分配优化问题,受因子图矩阵(FGM)约束和最小用户数据速率的约束。由于优化问题是非凸的,寻找全局最优解的复杂性是令人望而却步的。提出了一种基于梯度上升的迭代算法来计算无人机的最优三维部署和轨迹。在此基础上,提出了一种有效的基于信道状态信息的FGM分配算法,并采用拉格朗日对偶分解方法有效地解决了功率分配问题。研究结果表明,在给定的能量预算范围内,无人机轨迹优化可以提高和速率。此外,与基准方案相比,采用基于csi的多子载波分配和策略功率分配可以显著提高系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resource management for sum-rate maximization in SCMA-assisted UAV system

This work presents a resource management framework for optimizing the sum-rate in a sparse code multiple access (SCMA)-assisted UAV downlink system. We formulate two optimization problems for maximizing the overall sum-rate: the first problem addresses UAV 3D deployment and trajectory optimization with energy constraints, while the second focuses on optimizing SCMA subcarrier and power allocation optimization, subject to factor graph matrix (FGM) constraints and a minimum user data rate. Since the optimization problems are non-convex, the complexity of finding the global optimal solutions is prohibitive. We propose a gradient ascent-based iterative algorithm to compute the optimal UAV 3D deployment and trajectory. Further, an effective channel state information-based algorithm is proposed for FGM assignment, followed by a Lagrange dual decomposition method to solve the power allocation problem efficiently. Our research findings demonstrate that the optimization of the UAV trajectory gives improved sum-rate within the specified energy budget. Further, employing CSI-based multiple subcarrier allocation and strategic power allocation can significantly improve system performance compared to the benchmark schemes.

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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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