On the BLER performance of UAV-assisted dual-hop V2V MIMO-NOMA systems in finite blocklength regime

IF 3 3区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Van Son Nguyen , Phuong Nhung Do , Pham Xuan Khanh , Hai-Nam Le , Nguyen Thu Phuong , Pham Thanh Hiep
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引用次数: 0

Abstract

This paper investigates the block error rate (BLER) performance of a Unmanned Aerial Vehicle (UAV)-assisted Multiple-Input Multiple-Output (MIMO) Non-Orthogonal Multiple Access (NOMA) Vehicle-to-Vehicle (V2V) communication system operating in the finite blocklength (FBL) regime over double Rayleigh fading channels. The system model incorporates 3D UAV geometry, Maximum Ratio Transmission (MRT)/Maximum Ratio Combining (MRC) beamforming, and NOMA with successive interference cancellation (SIC). Due to the analytical complexity under MIMO and FBL conditions, a single-link approximation, linearized Q-function, and Meijer G-function are used to derive closed-form and asymptotic expressions for the end-to-end BLER. The analysis captures the effects of key system parameters, including blocklength, signal-to-noise ratio, power allocation, and SIC efficiency. Additionally, the impact of UAV altitude and vehicle velocity on reliability is quantified, revealing trade-offs between line-of-sight probability, path loss, and time correlation. Asymptotic analysis provides insights into diversity order, aiding the design of robust UAV-assisted ultra-reliable low-latency communication (URLLC) systems under mobility and short-packet constraints.
无人机辅助双跳V2V MIMO-NOMA系统在有限区块长度下的BLER性能研究
研究了一种无人机辅助多输入多输出(MIMO)非正交多址(NOMA)车对车(V2V)通信系统在有限块长(FBL)体制下在双瑞利衰落信道上的块错误率(BLER)性能。该系统模型结合了3D无人机几何结构、最大比传输(MRT)/最大比组合(MRC)波束成形和具有连续干扰消除(SIC)的NOMA。考虑到MIMO和FBL条件下的解析复杂性,采用单链路近似、线性化q函数和Meijer g函数推导了端到端BLER的闭形式和渐近表达式。分析捕获了关键系统参数的影响,包括块长度、信噪比、功率分配和SIC效率。此外,对无人机高度和飞行器速度对可靠性的影响进行了量化,揭示了视距概率、路径损失和时间相关性之间的权衡。渐近分析提供了对多样性顺序的见解,有助于在移动性和短包约束下设计强大的无人机辅助超可靠低延迟通信(URLLC)系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Digital Signal Processing
Digital Signal Processing 工程技术-工程:电子与电气
CiteScore
5.30
自引率
17.20%
发文量
435
审稿时长
66 days
期刊介绍: Digital Signal Processing: A Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative. The Journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of ground-breaking research in signal processing with both academic and industrial appeal. The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as: • big data• machine learning• internet of things• information security• systems biology and computational biology,• financial time series analysis,• autonomous vehicles,• quantum computing,• neuromorphic engineering,• human-computer interaction and intelligent user interfaces,• environmental signal processing,• geophysical signal processing including seismic signal processing,• chemioinformatics and bioinformatics,• audio, visual and performance arts,• disaster management and prevention,• renewable energy,
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