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面向蜂窝物联网网络中可靠连接建立的资源高效并行随机接入。

Resource-Efficient Parallelized Random Access for Reliable Connection Establishment in Cellular IoT Networks.

机构信息

Department of Computer Engineering, Hanbat National University, Daejeon 34158, Republic of Korea.

Department of Electronics Engineering, Tech University of Korea, Siheung 15073, Republic of Korea.

出版信息

Sensors (Basel). 2023 Apr 8;23(8):3819. doi: 10.3390/s23083819.

DOI:10.3390/s23083819
PMID:37112160
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10142554/
Abstract

The role of various internet-of-things (IoT) devices responsible for data collection and reporting becomes more important in the era of Industry 4.0. Due to the various advantages (e.g., wide coverage, robust security, etc.), the cellular networks have been continuously evolved to accommodate IoT scenario. In IoT scenario, connection establishment is essential and primary for enabling IoT devices to communicate with centralized unit (e.g., base station (BS)). This connection establishment procedure in cellular networks, random access procedure, is generally operated in a contention-based manner. So, it is vulnerable to simultaneous connection requests from multiple IoT devices to the BS, which becomes worse as the contention participants increase. In this article, we newly propose a resource-efficient parallelized random access (RePRA) procedure for resource-efficiently ensuring reliable connection establishment in cellular-based massive IoT networks. Key features of our proposed technique are twofold: (1) Each IoT device simultaneously performs multiple RA procedures in parallel to improve connection establishment success probability, and (2) the BS handles excessive use of radio resources based on newly proposed two types of redundancy elimination mechanisms. Through extensive simulations, we evaluate the performance of our proposed technique in terms of connection establishment success probability and resource efficiency under various combinations of control parameters. Consequently, we verify the feasibility of our proposed technique for reliably and radio-efficiently supporting a large number of IoT devices.

摘要

在工业 4.0 时代,负责数据收集和报告的各种物联网 (IoT) 设备的作用变得更加重要。由于具有各种优势(例如,广泛的覆盖范围、强大的安全性等),蜂窝网络一直在不断演进,以适应物联网场景。在物联网场景中,连接建立对于使物联网设备能够与集中单元(例如,基站 (BS))进行通信至关重要。在蜂窝网络中,这种连接建立过程,即随机接入过程,通常以竞争方式操作。因此,它容易受到多个物联网设备同时向 BS 发送连接请求的影响,随着竞争参与者的增加,情况会变得更糟。在本文中,我们新提出了一种资源高效的并行随机接入 (RePRA) 过程,用于在基于蜂窝的大规模物联网网络中高效地确保可靠的连接建立。我们提出的技术的主要特点有两个:(1) 每个物联网设备同时并行执行多个 RA 过程,以提高连接建立成功率,(2) BS 根据新提出的两种类型的冗余消除机制来处理过度使用无线电资源的情况。通过广泛的仿真,我们根据各种控制参数组合评估了我们提出的技术在连接建立成功率和资源效率方面的性能。因此,我们验证了我们提出的技术用于可靠和高效地支持大量物联网设备的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/8d2d7fbbf6ed/sensors-23-03819-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/8d07e4db03e2/sensors-23-03819-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/361aa3bb2f3f/sensors-23-03819-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/75aa1a69be92/sensors-23-03819-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/996da2c0c929/sensors-23-03819-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/eb5b6fa25075/sensors-23-03819-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/489e4b41e1c0/sensors-23-03819-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/3e7a6fda6859/sensors-23-03819-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/8d2d7fbbf6ed/sensors-23-03819-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/8d07e4db03e2/sensors-23-03819-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/361aa3bb2f3f/sensors-23-03819-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/75aa1a69be92/sensors-23-03819-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/996da2c0c929/sensors-23-03819-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/eb5b6fa25075/sensors-23-03819-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/489e4b41e1c0/sensors-23-03819-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/3e7a6fda6859/sensors-23-03819-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b15e/10142554/8d2d7fbbf6ed/sensors-23-03819-g008.jpg

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