On the scalability of uncoordinated multiple access for the Internet of Things

Handle URI:
http://hdl.handle.net/10754/626179
Title:
On the scalability of uncoordinated multiple access for the Internet of Things
Authors:
Chisci, Giovanni; Elsawy, Hesham ( 0000-0003-4201-6126 ) ; Conti, Andrea; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Win, Moe Z.
Abstract:
The Internet of things (IoT) will entail massive number of wireless connections with sporadic traffic patterns. To support the IoT traffic, several technologies are evolving to support low power wide area (LPWA) wireless communications. However, LPWA networks rely on variations of uncoordinated spectrum access, either for data transmissions or scheduling requests, thus imposing a scalability problem to the IoT. This paper presents a novel spatiotemporal model to study the scalability of the ALOHA medium access. In particular, the developed mathematical model relies on stochastic geometry and queueing theory to account for spatial and temporal attributes of the IoT. To this end, the scalability of the ALOHA is characterized by the percentile of IoT devices that can be served while keeping their queues stable. The results highlight the scalability problem of ALOHA and quantify the extend to which ALOHA can support in terms of number of devices, traffic requirement, and transmission rate.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Chisci G, ElSawy H, Conti A, Alouini M-S, Win MZ (2017) On the scalability of uncoordinated multiple access for the Internet of Things. 2017 International Symposium on Wireless Communication Systems (ISWCS). Available: http://dx.doi.org/10.1109/ISWCS.2017.8108148.
Publisher:
IEEE
Journal:
2017 International Symposium on Wireless Communication Systems (ISWCS)
Issue Date:
16-Nov-2017
DOI:
10.1109/ISWCS.2017.8108148
Type:
Conference Paper
Sponsors:
This research was supported, in part, by the “5x1000” Young Researcher Mobility Project, University of Ferrara, Ferrara, Italy, and by the Sensor Research Initiative through the Office of Sponsored Research at the King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Additional Links:
http://ieeexplore.ieee.org/document/8108148/
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorChisci, Giovannien
dc.contributor.authorElsawy, Heshamen
dc.contributor.authorConti, Andreaen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorWin, Moe Z.en
dc.date.accessioned2017-11-20T12:48:14Z-
dc.date.available2017-11-20T12:48:14Z-
dc.date.issued2017-11-16en
dc.identifier.citationChisci G, ElSawy H, Conti A, Alouini M-S, Win MZ (2017) On the scalability of uncoordinated multiple access for the Internet of Things. 2017 International Symposium on Wireless Communication Systems (ISWCS). Available: http://dx.doi.org/10.1109/ISWCS.2017.8108148.en
dc.identifier.doi10.1109/ISWCS.2017.8108148en
dc.identifier.urihttp://hdl.handle.net/10754/626179-
dc.description.abstractThe Internet of things (IoT) will entail massive number of wireless connections with sporadic traffic patterns. To support the IoT traffic, several technologies are evolving to support low power wide area (LPWA) wireless communications. However, LPWA networks rely on variations of uncoordinated spectrum access, either for data transmissions or scheduling requests, thus imposing a scalability problem to the IoT. This paper presents a novel spatiotemporal model to study the scalability of the ALOHA medium access. In particular, the developed mathematical model relies on stochastic geometry and queueing theory to account for spatial and temporal attributes of the IoT. To this end, the scalability of the ALOHA is characterized by the percentile of IoT devices that can be served while keeping their queues stable. The results highlight the scalability problem of ALOHA and quantify the extend to which ALOHA can support in terms of number of devices, traffic requirement, and transmission rate.en
dc.description.sponsorshipThis research was supported, in part, by the “5x1000” Young Researcher Mobility Project, University of Ferrara, Ferrara, Italy, and by the Sensor Research Initiative through the Office of Sponsored Research at the King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/8108148/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.en
dc.subjectInterferenceen
dc.subjectMathematical modelen
dc.subjectQuality of serviceen
dc.subjectScalabilityen
dc.subjectSignal to noise ratioen
dc.subjectStochastic processesen
dc.subjectTransmittersen
dc.titleOn the scalability of uncoordinated multiple access for the Internet of Thingsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2017 International Symposium on Wireless Communication Systems (ISWCS)en
dc.eprint.versionPost-printen
dc.contributor.institutionDepartment of Engineering (ENDIF), University of Ferrara, Ferrara, Italyen
dc.contributor.institutionLaboratory of Information and Decision Systems (LIDS), Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USAen
kaust.authorElsawy, Heshamen
kaust.authorAlouini, Mohamed-Slimen
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