EGO-6:通过优化部署6G trp增强地理围栏安全系统

A. Famili, A. Stavrou, Haining Wang, J. Park
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引用次数: 0

摘要

地理围栏技术可以在特定位置周围创建虚拟边界,以规范该区域内的行为。这些边界提供了一种灵活而安全的方式来控制访问、监视活动和执行规则。一个典型的例子是使用地理围栏为无人机建立禁飞区,以确保航空安全。地理围栏还可以用于虚拟环境,例如元空间平台,以限制用户访问特定房间,增强安全性和管理。在本文中,我们介绍了EGO-6,这是一个用于跟踪室内环境中用户的地理围栏系统的优化框架。EGO6利用其创新技术优化了三维空间中的6G传输/接收点(TRP)部署。EGO-6利用进化算法(EA)的进步,计算最小6G锚需求及其最佳位置,以降低部署成本和跟踪错误。EGO-6解决了这一复杂的NP-Hard挑战,属于混合整数规划(MIP)问题,提供了经济高效的锚点配置,用于改进室内地理围栏和用户跟踪,部署了更少的6G trp。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EGO-6: Enhancing Geofencing Security Systems with Optimal Deployment of 6G TRPs
Geofencing technologies enable the creation of virtual boundaries around specific locations to regulate actions within that area. These boundaries provide a flexible, yet secure way to control access, monitor activity, and enforce rules. A prime example is the use of geofencing to establish no-fly zones for drones, ensuring aviation safety. Geofencing can also be used in virtual environments, such as metaverse platforms, to restrict user access to specific rooms, enhancing security and management. In this article, we present EGO-6, an optimization framework for a geofencing system tracking users in indoor environments. EGO6 optimizes 6G transmission/reception point (TRP) deployment in three-dimensional spaces with its innovative technique. Using Evolutionary Algorithm (EA) advancements, EGO-6 calculates minimum 6G anchor requirements and their optimal placement to lower deployment costs and tracking errors. Solving this complex NP-Hard challenge which belongs to Mixed Integer Programming (MIP) problems, EGO-6 offers cost-efficient anchor configurations for improved indoor geofencing and user tracking with fewer deployed 6G TRPs.
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