SuRLLC: Secure Ultra-Reliable and Low Latency Communication in NOMA-UAV Intelligent Transportation Systems

IF 7.1 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Vehicular Technology Pub Date : 2024-09-09 DOI:10.1109/TVT.2024.3456122
Kan Yu;Xiao Zhao;Zhiyong Feng;Dianxia Chen;Xiaowu Liu;Xiaoshan Ma;Dong Li
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Abstract

The ultra-reliable and low-latency communication (uRLLC) plays a vital role in road safety and traffic management of intelligent transportation systems (ITS). Integrating unmanned aerial vehicles (UAVs) and non-orthogonal multiple access (NOMA) has become a prospective strategy for uRLLC by separately establishing line-of-sight (LoS) link and simultaneous transmissions. The confidentiality and security of information transmission in the context of uRLLC faces serious challenges, due to the openness nature of the wireless medium. Different from traditional encryption methods, featured by high computing complexity and serious processing delay, physical layer security (PLS) exploits the inherent properties of the wireless medium to prevent transmitted messages from being eavesdropped. In addition, NOMA-UAV systems pose unique challenges for secure transmission due to potential stronger LoS channels between the source and the eavesdroppers. Therefore, in this paper, we investigate the confidentiality and security of a NOMA-UAV uRLLC system, under which an UAV serves two types of users with different requirements, i.e., secret users (both security and reliability) and public users (only reliability). Based on the tools of stochastic geometry, we address the challenges of secure communications caused by the mobility of UAV, and derive the closed-form expression of secrecy rate maximization, a key metric for observing the key system parameters on the security and reliability. Furthermore, joint design of UAV trajectory and transmit power is proposed to enhance the system security. Finally, compared with popular PLS scheme empowered by UAV trajectory design, the proposed scheme is evaluated by numerical simulations for theoretical analyses and effectiveness in practice.
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SuRLLC:NOMA-UAV 智能交通系统中的安全、超可靠和低延迟通信
超可靠低时延通信(uRLLC)在智能交通系统的道路安全和交通管理中起着至关重要的作用。无人机(uav)与非正交多址(NOMA)相结合,分别建立视距(LoS)链路并同时传输,已成为uRLLC的发展方向。由于无线媒体的开放性,uRLLC环境下信息传输的保密性和安全性面临着严峻的挑战。与传统加密方法计算复杂度高、处理延迟严重不同,物理层安全利用无线介质的固有特性来防止传输的信息被窃听。此外,由于源和窃听者之间潜在的更强的LoS通道,NOMA-UAV系统对安全传输构成了独特的挑战。因此,本文对NOMA-UAV uRLLC系统的保密性和安全性进行了研究,在该系统下,无人机服务于两种不同需求的用户,即保密用户(既有安全性和可靠性)和公共用户(只有可靠性)。基于随机几何工具,解决了无人机机动性带来的安全通信挑战,推导了保密率最大化的封闭表达式,这是观察系统关键参数对安全性和可靠性影响的关键指标。在此基础上,提出了无人机弹道与发射功率的联合设计,提高了系统的安全性。最后,将该方案与基于无人机轨迹设计的主流PLS方案进行了比较,并通过数值模拟对该方案进行了理论分析和实践验证。
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
CiteScore
6.00
自引率
8.80%
发文量
1245
审稿时长
6.3 months
期刊介绍: The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.
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