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dc.contributor.authorQin, Zen_US
dc.contributor.authorLiu, Yen_US
dc.contributor.authorLi, GYen_US
dc.contributor.authorMcCann, JAen_US
dc.date.accessioned2019-05-21T10:11:28Z
dc.date.issued2017-07-28en_US
dc.identifier.isbn9781467389990en_US
dc.identifier.issn1550-3607en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/57660
dc.description.abstract© 2017 IEEE. In this paper, 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.en_US
dc.titleModelling and analysis of low-power wide-area networksen_US
dc.typeConference Proceeding
dc.rights.holder© 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.
dc.identifier.doi10.1109/ICC.2017.7996589en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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