Robust ISAC Localization in Smart Cities: A Hybrid Network Approach for NLOS Challenges with Uncertain Parameters

IF 3.3 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Turke Althobaiti, R. A. Khalil, Nasir Saeed
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Abstract

Accurate localization holds paramount importance across many applications within the context of smart cities, particularly in vehicular communication systems, the Internet of Things, and Integrated Sensing and Communication (ISAC) technologies. Nonetheless, achieving precise localization remains a persistent challenge, primarily attributed to the prevalence of non-line-of-sight (NLOS) conditions and the presence of uncertainties surrounding key wireless transmission parameters. This paper presents a comprehensive framework tailored to address the intricate task of localizing multiple nodes within ISAC systems significantly impacted by pervasive NLOS conditions and the ambiguity of transmission parameters. The proposed methodology integrates received signal strength (RSS) and time-of-arrival (TOA) measurements as a strategic response to effectively overcome these substantial challenges, even in situations where the precise values of transmitting power and temporal information remain elusive. An approximation approach is judiciously employed to facilitate the inherent non-convex and NP-hard nature of the original estimation problem, resulting in a notable transformation, rendering the problem amenable to a convex optimization paradigm. The comprehensive array of simulations conducted within this study corroborates the efficacy of the proposed hybrid cooperative localization method by underscoring its superior performance relative to conventional approaches relying solely on RSS or TOA measurements. This enhancement in localization accuracy in ISAC systems holds promise in the intricate urban landscape of smart cities, offering substantial contributions to infrastructure optimization and service efficiency.
智能城市中稳健的 ISAC 定位:针对参数不确定的 NLOS 挑战的混合网络方法
在智慧城市的许多应用中,尤其是在车载通信系统、物联网和综合传感与通信(ISAC)技术中,精确定位至关重要。然而,实现精确定位仍然是一个长期存在的挑战,这主要归因于非视线(NLOS)条件的普遍存在以及关键无线传输参数的不确定性。受普遍存在的非视距条件和传输参数不确定性的严重影响,ISAC 系统中的多个节点的定位任务错综复杂,本文提出了一个专门用于解决这一问题的综合框架。所提出的方法整合了接收信号强度(RSS)和到达时间(TOA)测量,作为有效克服这些重大挑战的战略对策,即使在发射功率和时间信息的精确值仍然难以捉摸的情况下也是如此。为了解决原始估计问题固有的非凸和 NP-困难性质,本研究明智地采用了近似方法,从而实现了显著的转变,使问题适合于凸优化范例。本研究中进行的一系列综合模拟证实了所提出的混合合作定位方法的有效性,强调了其相对于仅依赖 RSS 或 TOA 测量的传统方法的卓越性能。在智能城市错综复杂的城市景观中,ISAC 系统定位精度的提高为基础设施优化和服务效率做出了巨大贡献。
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来源期刊
Journal of Sensor and Actuator Networks
Journal of Sensor and Actuator Networks Physics and Astronomy-Instrumentation
CiteScore
7.90
自引率
2.90%
发文量
70
审稿时长
11 weeks
期刊介绍: Journal of Sensor and Actuator Networks (ISSN 2224-2708) is an international open access journal on the science and technology of sensor and actuator networks. It publishes regular research papers, reviews (including comprehensive reviews on complete sensor and actuator networks), and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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