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2025, 04, v.46 1-7+117
低空智融网络可靠传输基础研究
基金项目(Foundation): 科技部雄安新区科技创新专项项目(2023XAGG0063); 国家自然科学基金项目(62402030)
邮箱(Email):
DOI: 10.15926/j.cnki.issn1672-6871.2025.04.001
摘要:

低空智联网是推动低空经济和空中交通智能化的核心驱动力。然而,当前低空智联网的通信技术仍面临协同能力弱与传输可靠性不足等突出问题,严重制约了其在复杂弱网场景下的业务支撑能力。针对上述挑战,提出低空智融通信架构,纵向分为融合网络层、资源适配层与低空服务层3层,并设计跨网协同传输、多径灵活调度、编码冗余增强以及隐蔽信道传输等核心技术,旨在通过架构创新与技术融合,全面提升低空智联网的传输效率与可靠保障能力。实验结果表明,所提方案有效传输速率较单路传输提升至少1倍,网络编码译码成功率较传统方法平均提升11.05%,隐蔽信道传输正确率较传统算法提升了至少10%。

Abstract:

The low-altitude intelligent network(LAIN) serves as a fundamental driving force for the intelligent development of the low-altitude economy and aerial traffic systems. However, current low-altitude communication technologies still face significant challenges, including limited coordination capability and insufficient transmission reliability, which severely hinder their ability to support services in complex and weak networks. To address the above challenges, this paper proposes an intelligent integrated communication architecture for LAIN, which is vertically divided into three layers: the integrated network layer, the resource adaptation layer, and the low-altitude service layer. It incorporates key technologies such as cross-network collaborative transmission, flexible multipath scheduling, enhanced coding redundancy, and covert channel authentication. By integrating technology and architectural innovation, the framework aims to enhance communication efficiency and reliability. Experimental results demonstrate that the effective transmission rate of the proposed scheme is at least 1 times higher than that of single-link transmission, the decoding success rate of network coding improves by an average of 11.05% compared to traditional methods, and the transmission accuracy of the covert channel has been improved by at least 10% compared with other algorithms.

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基本信息:

DOI:10.15926/j.cnki.issn1672-6871.2025.04.001

中图分类号:V355;TN914

引用信息:

[1]张雪,邓君,刘明远等.低空智融网络可靠传输基础研究[J].河南科技大学学报(自然科学版),2025,46(04):1-7+117.DOI:10.15926/j.cnki.issn1672-6871.2025.04.001.

基金信息:

科技部雄安新区科技创新专项项目(2023XAGG0063); 国家自然科学基金项目(62402030)

引用

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