模拟和分析 5G 波形以降低车辆通信的误码率

IF 5.8 2区 计算机科学 Q1 TELECOMMUNICATIONS
Fowzia Sultana Sowdagar , Krishna Naik Karamtot
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引用次数: 0

摘要

在当今飞速发展的世界中,无线通信已成为一种无处不在的力量,深刻影响着我们日常生活的方方面面。无线车载网络(Wireless Vehicular Networks)是一个引人入胜的研究领域,其重点是促进自动驾驶车辆之间的信息交流。随着研究人员对这一领域需求的激增,人们越来越重视设计先进技术来提高网络性能,特别是在第五代(5G)应用(如车载通信)的背景下。车对车(V2V)通信的概念将在未来发挥举足轻重的作用,通过异步多路接入和高流动性为空中接口带来巨大挑战。在这一动态环境中,安全和隐私问题是 5G 车载网络面临的主要问题,其中许多问题在很大程度上仍未得到解决。包括正交频分复用(OFDM)在内的传统波形可能无法满足这些不断发展的标准。在本文中,作者深入探讨了滤波器组多载波(FBMC)和通用滤波多载波(UFMC)这两个波形系列在设计和性能权衡方面的比较。作者还研究了它们与各种数字调制方案的兼容性,如 4-正交幅度调制(QAM)、16-QAM、偏移正交相移键控(OQPSK)和异形偏移 OQPSK(SOQPSK)。通过 MATLAB 仿真,我们的研究生动地展示了 UFMC 与 OFDM 和 FBMC 相比的优越性能,尤其是在瑞利和中神衰落信道中的误码率(BER)方面。作者特别考虑了 10 的中神形状参数,这使得 UFMC 的误码率降到了最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation and analysis of 5G waveforms to reduce BER for vehicular communications

In today's rapidly evolving world, wireless communication has become a pervasive force, profoundly impacting various facets of our daily lives. Wireless Vehicular Networks stand out as a captivating realm of research, with a key focus on fostering information exchange among autonomous vehicles. As researchers witness surging demand in this domain, there is a growing emphasis on devising advanced techniques to augment network performance, particularly within the context of Fifth-generation (5G) applications, such as vehicular communication. The concept of Vehicle-to-vehicle (V2V) communications is poised to play a pivotal role in the future, presenting formidable challenges for the air interface by accommodating asynchronous multiple access and high mobility. Within this dynamic landscape, security and privacy issues loom large for 5G-enabled vehicle networks, many of which remain largely unexplored. The conventional waveforms, including Orthogonal Frequency Division Multiplexing (OFDM), may fall short of meeting these evolving standards. In this paper, authors delve into a comparative exploration of two waveform families, namely Filter Bank Multicarrier (FBMC) and Universal Filtered Multi-Carrier (UFMC), concerning their design and performance trade-offs. authors also examine their compatibility with various digital modulation schemes like 4-Quadrature Amplitude Modulation (QAM), 16-QAM, Offset Quadrature Phase Shift Keying (OQPSK), and Shaped offset OQPSK (SOQPSK). Through MATLAB simulations, our research vividly demonstrates the superior performance of UFMC when juxtaposed with OFDM and FBMC, especially concerning Bit Error Rate (BER) in both Rayleigh and Nakagami fading channels. In particular, authors consider a Nakagami shape parameter of 10, which yields a remarkable minimum BER for UFMC.

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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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