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

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

doi:10.1109/ICC.2019.8761284

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

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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

5 Citationer (Scopus)

286 Downloads (Pure)

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.

Originalsprog	Engelsk
Titel	2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
Antal sider	6
Forlag	IEEE
Publikationsdato	15 jul. 2019
Artikelnummer	8761284
ISBN (Trykt)	978-1-5386-8089-6
ISBN (Elektronisk)	978-1-5386-8088-9
DOI	https://doi.org/10.1109/ICC.2019.8761284
Status	Udgivet - 15 jul. 2019
Begivenhed	2019 IEEE International Conference on Communications Workshops (ICC Workshops) - Shanghai , Kina Varighed: 20 maj 2019 → 24 maj 2019

Konference

Konference	2019 IEEE International Conference on Communications Workshops (ICC Workshops)
Land/Område	Kina
By	Shanghai
Periode	20/05/2019 → 24/05/2019

Navn	I E E E International Conference on Communications
ISSN	1550-3607

Adgang til dokumentet

10.1109/ICC.2019.8761284

NB_IoT_ICC_Conf_vbnAccepteret manuskript, 342 KBLicens: Ikke-specificeret

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

Andre filer og links

http://www.scopus.com/inward/record.url?scp=85070192512&partnerID=8YFLogxK

ONE5G: E2E-aware Optimizations and advancements for the Network Edge of 5G New Radio
Nielsen, J. J., Stefanovic, C., Kim, D. M., Popovski, P., De Carvalho, E., Mahmood, N. H., Berardinelli, G., Amorim, R. M. D. & Khatib, E. J.
01/06/2017 → 31/05/2019
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{3b2a7136095943a99c7b175946c9a33a,

title = "Preamble Detection in NB-IoT Random Access with Limited-Capacity Backhaul",

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.",

author = "Hien, {Ta Quang} and Zhengdao Wang and Kim, {Sang W.} and Nielsen, {Jimmy Jessen} and Petar Popovski",

year = "2019",

month = jul,

day = "15",

doi = "10.1109/ICC.2019.8761284",

language = "English",

isbn = "978-1-5386-8089-6",

series = "I E E E International Conference on Communications",

publisher = "IEEE",

booktitle = "2019 IEEE International Conference on Communications, ICC 2019 - Proceedings",

address = "United States",

note = "2019 IEEE International Conference on Communications Workshops (ICC Workshops) ; Conference date: 20-05-2019 Through 24-05-2019",

}

Hien, TQ, Wang, Z, Kim, SW, Nielsen, JJ & Popovski, P 2019, Preamble Detection in NB-IoT Random Access with Limited-Capacity Backhaul. i 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings., 8761284, IEEE, I E E E International Conference on Communications, 2019 IEEE International Conference on Communications Workshops (ICC Workshops), Shanghai , Kina, 20/05/2019. https://doi.org/10.1109/ICC.2019.8761284

Preamble Detection in NB-IoT Random Access with Limited-Capacity Backhaul. / Hien, Ta Quang; Wang, Zhengdao; Kim, Sang W. et al.
2019 IEEE International Conference on Communications, ICC 2019 - Proceedings. IEEE, 2019. 8761284 (I E E E International Conference on Communications).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Preamble Detection in NB-IoT Random Access with Limited-Capacity Backhaul

AU - Hien, Ta Quang

AU - Wang, Zhengdao

AU - Kim, Sang W.

AU - Nielsen, Jimmy Jessen

AU - Popovski, Petar

PY - 2019/7/15

Y1 - 2019/7/15

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85070192512&partnerID=8YFLogxK

U2 - 10.1109/ICC.2019.8761284

DO - 10.1109/ICC.2019.8761284

M3 - Article in proceeding

SN - 978-1-5386-8089-6

T3 - I E E E International Conference on Communications

BT - 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings

PB - IEEE

T2 - 2019 IEEE International Conference on Communications Workshops (ICC Workshops)

Y2 - 20 May 2019 through 24 May 2019

ER -

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

Abstract

Konference

Adgang til dokumentet

AUB Link

Andre filer og links

Fingeraftryk

Projekter

ONE5G: E2E-aware Optimizations and advancements for the Network Edge of 5G New Radio

Citationsformater