A Study on Enhancing Channel Estimation in Vehicular Communications: Metamaterial-Enhanced Microstrip Antennas

Sachin Bandewar, V. S. Chaudhary
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引用次数: 0

Abstract

Vehicular communication systems play a pivotal role in modern transportation, offering solutions for traffic management, road safety, and infotainment services. Effective optimization of channel estimation in these systems is imperative to overcome inherent challenges. This paper has explored the issues that hinder reliable and efficient channel estimation in vehicular communications. High mobility and dynamic environments, multipath fading, heterogeneous networks, scalability, and security and privacy concerns were identified as key challenges. Addressing these challenges is crucial for ensuring the robustness and effectiveness of vehicular communication systems. By advancing channel estimation techniques, we can enhance data throughput, reduce latency, and improve overall network performance, ultimately contributing to safer and more efficient transportation systems.
关于增强车载通信中信道估计的研究:超材料增强型微带天线
车载通信系统在现代交通中发挥着举足轻重的作用,为交通管理、道路安全和信息娱乐服务提供解决方案。要克服固有的挑战,必须对这些系统中的信道估计进行有效优化。本文探讨了阻碍车辆通信中可靠、高效信道估计的问题。高流动性和动态环境、多径衰减、异构网络、可扩展性以及安全和隐私问题被确定为主要挑战。应对这些挑战对于确保车辆通信系统的稳健性和有效性至关重要。通过推进信道估计技术,我们可以提高数据吞吐量、减少延迟并改善整体网络性能,最终为更安全、更高效的交通系统做出贡献。
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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