Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham

Alaaallah Elsabaa; Wenyan Wu; Florimond Gueniat

doi:10.1109/AIIoT54504.2022.9817253

Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham

Alaaallah Elsabaa, Wenyan Wu, Florimond Gueniat

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (SciVal)

Original language	English
Title of host publication	Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham
Place of Publication	IEEE World AI IoT Congress 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	766-772
Number of pages	7
ISBN (Electronic)	9781665484534
DOIs	https://doi.org/10.1109/AIIoT54504.2022.9817253
Publication status	Published (VoR) - 6 Jun 2022
Event	2022 IEEE World AI IoT Congress, AIIoT 2022 - Seattle, United States Duration: 6 Jun 2022 → 9 Jun 2022

Publication series

Name	2022 IEEE World AI IoT Congress, AIIoT 2022

Conference

Conference	2022 IEEE World AI IoT Congress, AIIoT 2022
Country/Territory	United States
City	Seattle
Period	6/06/22 → 9/06/22

Keywords

Channel Models
Distribution Clustering
Internet of Things
LoRa
LoRaWAN
Outliers

Access to Document

10.1109/AIIoT54504.2022.9817253

Cite this

@inproceedings{9e6bda1964b84e259d9a70768d42ab2c,

title = "Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham",

keywords = "Channel Models, Distribution Clustering, Internet of Things, LoRa, LoRaWAN, Outliers",

author = "Alaaallah Elsabaa and Wenyan Wu and Florimond Gueniat",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE World AI IoT Congress, AIIoT 2022 ; Conference date: 06-06-2022 Through 09-06-2022",

year = "2022",

month = jun,

day = "6",

doi = "10.1109/AIIoT54504.2022.9817253",

language = "English",

series = "2022 IEEE World AI IoT Congress, AIIoT 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "766--772",

booktitle = "Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham",

}

Elsabaa, A, Wu, W & Gueniat, F 2022, Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham. in Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham. 2022 IEEE World AI IoT Congress, AIIoT 2022, Institute of Electrical and Electronics Engineers Inc., IEEE World AI IoT Congress 2022 , pp. 766-772, 2022 IEEE World AI IoT Congress, AIIoT 2022, Seattle, United States, 6/06/22. https://doi.org/10.1109/AIIoT54504.2022.9817253

Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham. / Elsabaa, Alaaallah; Wu, Wenyan ; Gueniat, Florimond.
Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham. IEEE World AI IoT Congress 2022 : Institute of Electrical and Electronics Engineers Inc., 2022. p. 766-772 (2022 IEEE World AI IoT Congress, AIIoT 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham

AU - Elsabaa, Alaaallah

AU - Wu, Wenyan

AU - Gueniat, Florimond

PY - 2022/6/6

Y1 - 2022/6/6

KW - Channel Models

KW - Distribution Clustering

KW - Internet of Things

KW - LoRa

KW - LoRaWAN

KW - Outliers

UR - http://www.scopus.com/inward/record.url?scp=85134882788&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85134882788&partnerID=8YFLogxK

U2 - 10.1109/AIIoT54504.2022.9817253

DO - 10.1109/AIIoT54504.2022.9817253

M3 - Conference contribution

AN - SCOPUS:85134882788

T3 - 2022 IEEE World AI IoT Congress, AIIoT 2022

SP - 766

EP - 772

BT - Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham

PB - Institute of Electrical and Electronics Engineers Inc.

CY - IEEE World AI IoT Congress 2022

T2 - 2022 IEEE World AI IoT Congress, AIIoT 2022

Y2 - 6 June 2022 through 9 June 2022

ER -

Enhanced Data-Driven LoRa LP-WAN Channel Model in Birmingham

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this