Show simple item record

dc.contributor.authorGharbieh, Mohammad
dc.contributor.authorEl Sawy, Hesham
dc.contributor.authorYang, Hong-Chuan
dc.contributor.authorBader, Ahmed
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2018-11-21T13:12:25Z
dc.date.available2018-11-21T13:12:25Z
dc.date.issued2018-10-24
dc.identifier.citationGharbieh M, El Sawy H, Yang H-C, Bader A, Alouini M-S (2018) Spatiotemporal Model for Uplink IoT Traffic: Scheduling & Random Access Paradox. IEEE Transactions on Wireless Communications: 1–1. Available: http://dx.doi.org/10.1109/TWC.2018.2876522.
dc.identifier.issn1536-1276
dc.identifier.issn1558-2248
dc.identifier.doi10.1109/TWC.2018.2876522
dc.identifier.urihttp://hdl.handle.net/10754/629948
dc.description.abstractThe Internet-of-things (IoT) is the paradigm where anything will be connected. There are two main approaches to handle the surge in the uplink (UL) traffic the IoT is expected to generate, namely, Scheduled UL (SC-UL) and random access uplink (RA-UL) transmissions. SC-UL is perceived as a viable tool to control Quality-of-Service (QoS) levels while entailing some overhead in the scheduling request prior to any UL transmission. On the other hand, RA-UL is a simple single-phase transmission strategy. While this obviously eliminates scheduling overheads, very little is known about how scalable RA-UL is. At this critical junction, there is a dire need to analyze the scalability of these two paradigms. To that end, this paper develops a spatiotemporal mathematical framework to analyze and assess the performance of SC-UL and RA-UL. The developed paradigm jointly utilizes stochastic geometry and queueing theory. Based on such a framework, we show that the answer to the “scheduling vs. random access paradox” actually depends on the operational scenario. Particularly, RA-UL scheme offers low access delays but suffers from limited scalability, i.e., cannot support a large number of IoT devices. On the other hand, SC-UL transmission is better suited for higher device intensities and traffic rates.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8506623
dc.rights(c) 2018 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.
dc.subjectGrant-based access
dc.subjectGrant-free access
dc.subjectInteracting queues
dc.subjectInternet of Things (IoT)
dc.subjectQueueing theory
dc.subjectStability analysis
dc.subjectStochastic geometry
dc.subjectUplink transmission
dc.titleSpatiotemporal Model for Uplink IoT Traffic: Scheduling & Random Access Paradox
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Wireless Communications
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada.
dc.contributor.institutionElectrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
dc.contributor.institutionInsyab Wireless Limited, 1961 Dubai- UAE.
dc.identifier.arxivid1810.05309
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-11-22T08:48:53Z
dc.date.published-online2018-10-24
dc.date.published-print2018-12


Files in this item

Thumbnail
Name:
08506623.pdf
Size:
2.876Mb
Format:
PDF
Description:
Accepted Manuscript

This item appears in the following Collection(s)

Show simple item record