Modelling and analysis of low-power wide-area networks
File(s)Modelling and Analysis of Low-Power Wide-Area.pdf (273.36 KB)
Accepted version
Author(s)
Qin, Zhijin
Liu, Yuanwei
Li, Geoffrey Ye
McCann, Julie A
Type
Conference Paper
Abstract
We investigate the uplink transmission performance of low-power wide-area networks (LPWANs) with regards to coexisting radio modules using LoRa as an example. In doing so we adopt a new topology to model the network where the node locations of the network of focus (LoRa) follow a Poisson cluster process (PCP) while other coexisting interfering radio modules follow a Poisson point process (PPP). To characterize the performance of the proposed model as well as obtain insights, both analytical and closed-form approximated expressions for coverage probability are derived. Based on this, area spectrum efficiency, and energy efficiency are further characterized. These results demonstrate the degree to which the performance, with regard to the aforementioned metrics, is capable of being enhanced through varying the density of the deployment of LoRa nodes around each LoRa receiver. Moreover, simulation results unveil that an optimal value of active LoRa nodes in each cluster exists that maximizes area spectrum efficiency.
Date Issued
2017-07-31
Date Acceptance
2017-07-31
Citation
2017 IEEE International Conference on Communications (ICC), 2017, 2017
ISBN
978-1-4673-8999-0
ISSN
1550-3607
Publisher
IEEE
Journal / Book Title
2017 IEEE International Conference on Communications (ICC)
Volume
2017
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000424872101108&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
IEEE International Conference on Communications (ICC)
Subjects
Science & Technology
Technology
Telecommunications
INTERFERENCE
POISSON
ACCESS
Publication Status
Published
Start Date
2017-05-21
Finish Date
2017-05-25
Coverage Spatial
Paris, France
Date Publish Online
2017-07-31