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大规模接入物联网系统中的前导码设计与冲突解决

Preamble Design and Collision Resolution in a Massive Access IoT System.

作者信息

Zhong Ailing, Li Zhidu, Wang Ruyan, Li Xingjie, Guo Boren

机构信息

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Key Laboratory of Optical Communication and Networks, Chongqing 400065, China.

出版信息

Sensors (Basel). 2021 Jan 2;21(1):250. doi: 10.3390/s21010250.

DOI:10.3390/s21010250
PMID:33401703
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7795299/
Abstract

How to support massive access efficiently is one of the challenges in the future Internet of Things (IoT) systems. To address such challenge, this paper proposes an effective preamble collision resolution scheme to sustain massive random access (RA) for an IoT system. Specifically, a new sub-preamble structure is first proposed to reduce the preamble collision probability. To identify different devices that send the same preamble to the gNB on the same physical random access channel (PRACH), a multiple timing advance (TA) capturing scheme is then proposed. Thereafter, an RA scheme is designed to sustain massive access and the performance of the scheme is studied analytically. Finally, the effectiveness of the proposed RA scheme is validated by extensive simulation experiments in terms of preamble detection probability, preamble collision probability, RA success probability, resource efficiency and TA capturing.

摘要

如何高效支持大规模接入是未来物联网(IoT)系统面临的挑战之一。为应对这一挑战,本文提出了一种有效的前导码冲突解决方案,以维持物联网系统的大规模随机接入(RA)。具体而言,首先提出了一种新的子前导码结构以降低前导码冲突概率。为了识别在同一物理随机接入信道(PRACH)上向gNB发送相同前导码的不同设备,接着提出了一种多定时提前(TA)捕获方案。此后,设计了一种RA方案以维持大规模接入,并对该方案的性能进行了分析研究。最后,通过大量的仿真实验,在前导码检测概率、前导码冲突概率、RA成功概率、资源效率和TA捕获方面验证了所提RA方案的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/45488edd386d/sensors-21-00250-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/5f55851c024f/sensors-21-00250-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/feabf4d0ce29/sensors-21-00250-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/e0fa9621c06b/sensors-21-00250-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/b8edeef96068/sensors-21-00250-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/10ba7819c614/sensors-21-00250-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/219ebb3f7bc2/sensors-21-00250-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/f31da1dab533/sensors-21-00250-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/623e403d5541/sensors-21-00250-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/45488edd386d/sensors-21-00250-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/5f55851c024f/sensors-21-00250-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/feabf4d0ce29/sensors-21-00250-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/e0fa9621c06b/sensors-21-00250-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/b8edeef96068/sensors-21-00250-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/10ba7819c614/sensors-21-00250-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/219ebb3f7bc2/sensors-21-00250-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/f31da1dab533/sensors-21-00250-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/623e403d5541/sensors-21-00250-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70ed/7795299/45488edd386d/sensors-21-00250-g009.jpg

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