Network Dimensioning, QoE Maximization, and Power Control for Multi-Tier Machine-Type Communications

dc.contributor.ORCID0000-0003-0774-569X (Minn, H)
dc.contributor.authorHan, Dong
dc.contributor.authorMinn, Hlaing
dc.contributor.authorTefek, Utku
dc.contributor.authorLim, Teng Joon
dc.contributor.utdAuthorHan, Dong
dc.contributor.utdAuthorMinn, Hlaing
dc.date.accessioned2020-05-04T19:43:51Z
dc.date.available2020-05-04T19:43:51Z
dc.date.issued2018-10-12
dc.descriptionDue to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article).
dc.description.abstractFor a radio resource-limited multi-tier machine-type communication (MTC) network, controlling random access congestion while satisfying the unique requirements of each tier (type) and guaranteeing fairness among nodes is always a challenge. In this paper, we study the network dimensioning and radio resource partitioning for the uplink of an MTC network with the signal-to-interference ratio-based clustering and relaying, where the MTC gateways (MTCGs) capture and forward the packets sent from MTC devices (MTCDs) to the base station (BS). Specifically, under transmission outage probability constraints, we investigate the trade-off between network utility (in terms of transmission capacity and revenue) and resource allocation fairness. With both outage probability constraints and minimum MTCD density constraints, we propose approaches to maximize the weighted sum of quality of experience of different tiers of MTCDs. Furthermore, a transmit power control strategy for MTCG-to-BS link is proposed to achieve a constant data rate.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationHan, Dong, Hlaing Minn, Utku Tefek, and Teng Joon Lim. 2019. "Network Dimensioning, QoE Maximization, and Power Control for Multi-Tier Machine-Type Communications." IEEE Transactions on Communications 67(1): 859-872, doi: 10.1109/TCOMM.2018.2875735
dc.identifier.issn0090-6778
dc.identifier.issue1
dc.identifier.urihttp://dx.doi.org/10.1109/TCOMM.2018.2875735
dc.identifier.urihttps://hdl.handle.net/10735.1/8466
dc.identifier.volume67
dc.language.isoen
dc.publisherIEEE-Institute of Electrical Electronics Engineers Inc
dc.rights©2018 IEEE
dc.source.journalIEEE Transactions on Communications
dc.subjectInternetworking (Telecommunication)
dc.subjectMachine-to-machine communications
dc.subjectRadio frequency
dc.subjectResource allocation
dc.subjectStochastic geometry
dc.titleNetwork Dimensioning, QoE Maximization, and Power Control for Multi-Tier Machine-Type Communications
dc.type.genrearticle

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