Preamble Detection in NB-IoT Random Access with Limited-Capacity Backhaul

Ta Quang Hien, Zhengdao Wang, Sang W. Kim, Jimmy Jessen Nielsen, Petar Popovski

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
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Abstract

We study multi-base station (BS) preamble detection schemes for the narrow-band Internet of Things (NB-IoT) random access by using stochastic geometry analysis. Specifically, we compare the preamble detection performance of two baseline detection schemes: Quantize-and-Forward (QnF) and Detect-and-Forward (DnF). QnF requires the feedback of quantized received power levels while DnF requires 1-bit feedback of local detection result. Our results show that DnF scheme outperforms QnF scheme when the backhaul capacity is limited or when the minimum distance between user and BSs is less than a threshold. Our results also show that the use of multiple collaborative BSs can lead to a significant improvement of the preamble detection performance, as well as reduction of the total power of the preamble transmission.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
Number of pages6
PublisherIEEE
Publication date15 Jul 2019
Article number8761284
ISBN (Print)978-1-5386-8089-6
ISBN (Electronic)978-1-5386-8088-9
DOIs
Publication statusPublished - 15 Jul 2019
Event2019 IEEE International Conference on Communications Workshops (ICC Workshops) - Shanghai , China
Duration: 20 May 201924 May 2019

Conference

Conference2019 IEEE International Conference on Communications Workshops (ICC Workshops)
CountryChina
CityShanghai
Period20/05/201924/05/2019
SeriesI E E E International Conference on Communications
ISSN1550-3607

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