计算机科学
钥匙(锁)
光学(聚焦)
无线
多输入多输出
极高频率
特征(语言学)
混合定位系统
国家(计算机科学)
移动设备
实时计算
系统工程
嵌入式系统
定位系统
电信
工程类
频道(广播)
语言学
物理
哲学
计算机安全
结构工程
节点(物理)
光学
算法
操作系统
作者
Karthik Muthineni,Alexander Artemenko,Josep Vidal,Montse Nájar
标识
DOI:10.1109/eucnc/6gsummit58263.2023.10188352
摘要
The fifth generation (5G) mobile communication technology integrates communication, positioning, and mapping functionalities as an in-built feature. This has drawn significant attention from industries owing to the capability of replacing the traditional wireless technologies used in industries with 5G infrastructure that can be used for both connectivity and positioning. To this end, we identify the Automated Guided Vehicle (AGV) as a primary use case to benefit from the 5G functionalities. Given that there have been various works focusing on 5G positioning, it is necessary to analyze the existing works about their applicability with AGVs in industrial environments and provide insights to future research. In this paper, we present state of the art in 5G-based positioning, with a focus on key features, such as Millimeter Wave (mmWave) system, Massive Multiple Input Multiple Output (MIMO), Ultra-Dense Network (UDN), Device-to-Device (D2D) communication, and Reconfigurable Intelligent Surface (RIS). Moreover, we present the shortcomings in the current state of the art. Additionally, we propose enhanced techniques that can complement the accuracy of 5G-based positioning in controlled industrial environments.
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