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dc.contributor.authorYuan, Dingwen
dc.contributor.authorLin, Hsuan-Yin
dc.contributor.authorWidmer, Joerg 
dc.contributor.authorHollick, Matthias
dc.date.accessioned2021-07-13T09:33:53Z
dc.date.available2021-07-13T09:33:53Z
dc.date.issued2018-04-15
dc.identifier.urihttp://hdl.handle.net/20.500.12761/564
dc.description.abstractMillimeter-wave (mmWave) communication is a promising technology to cope with the expected exponential increase in data traffic in 5G networks. mmWave networks typically require a very dense deployment of mmWave base stations (mmBS). To reduce cost and increase flexibility, wireless backhauling is needed to connect the mmBSs. The characteristics of mmWave communication, and specifically its high directionality, imply new requirements for efficient routing and scheduling paradigms. We propose an efficient scheduling method, so-called schedule-oriented optimization, based on matching theory that optimizes QoS metrics jointly with routing. It is capable of solving any scheduling problem that can be formulated as a linear program whose variables are link times and QoS metrics. As an example of the schedule-oriented optimization, we show the optimal solution of the maximum throughput fair scheduling (MTFS). Practically, the optimal scheduling can be obtained even for networks with over 200 mmBSs. To further increase the runtime performance, we propose an efficient edge coloring based approximation algorithm with provable performance bound. It achieves over 80% of the optimal max-min throughput and runs 5 to 100 times faster than the optimal algorithm in practice. Finally, we extend the optimal and approximation algorithms for the cases of multi-RF-chain mmBSs and integrated backhaul and access networks.
dc.language.isoeng
dc.titleOptimal Joint Routing and Scheduling in Millimeter-Wave Cellular Networksen
dc.typeconference object
dc.conference.date15-19 April 2018
dc.conference.placeHonolulu, HI, USA
dc.conference.titleThe 37th IEEE International Conference on Computer Communications (IEEE INFOCOM 2018)*
dc.event.typeconference
dc.pres.typepaper
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/1808


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