Performance analysis of clustered LoRa networks
OA Location
Author(s)
Qin, Zhijin
Liu, Yuanwei
Li, Geoffrey Ye
McCann, Julie A
Type
Journal Article
Abstract
In this paper, we investigate the uplink transmission performance of low-power wide-area (LPWA) networks with regards to coexisting radio modules. We adopt the long-range (LoRa) radio technique as an example of the network of focus, even though our analysis can be easily extended to other situations. We exploit a new topology to model the network, where the node locations of LoRa follow a Poisson cluster process while other coexisting radio modules follow a Poisson point process. Unlike most of the performance analysis based on stochastic geometry, we take noise into consideration. More specifically, two models, with a fixed and a random number of active LoRa nodes in each cluster, respectively, are considered. To obtain insights, both the exact and simple approximated expressions for coverage probability are derived. Based on them, area spectral efficiency and energy efficiency are obtained. From our analysis, we show how the performance of LPWA networks can be enhanced by adjusting the density of LoRa nodes around each LoRa receiver. Moreover, the simulation results unveil that the optimal number of active LoRa nodes in each cluster exists to maximize the area spectral efficiency.
Date Issued
2019-08-01
Date Acceptance
2019-05-27
Citation
IEEE Transactions on Vehicular Technology, 2019, 68 (8), pp.7616-7629
ISSN
0018-9545
Publisher
Institute of Electrical and Electronics Engineers
Start Page
7616
End Page
7629
Journal / Book Title
IEEE Transactions on Vehicular Technology
Volume
68
Issue
8
Copyright Statement
© 2019 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:000481944300032&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Transportation Science & Technology
Engineering
Transportation
Low-power wide-area networks
LoRa
Poisson cluster process
stochastic geometry
NONORTHOGONAL MULTIPLE-ACCESS
INTERFERENCE
POISSON
IOT
Publication Status
Published
Date Publish Online
2019-06-03