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Probabilistic multi-RAT performance abstractions
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0003-1992-4740
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0002-5893-7774
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Development towards 5G has introduced difficult challenges in effectively managing and operating heterogeneous infrastructures under highly varying network conditions. Enabling, for example, unified coordination and management of radio resources across coexisting, multiple radio access technologies (multi-RAT), require efficient representation using high-level abstractions of the radio network performance and state. Without such abstractions, users and networks cannot harvest the full potential of increased resource density and connectivity options resulting in failure to meet the ambitions of 5G. We present a generic probabilistic approach for unified estimation of performance variability based on attainable throughput of UDP traffic in multi-RATs, and evaluate the applicability in an interface selection control case (involving WiFi and LTE) based on obtaining probabilistic user performance guarantees. From simulations we observe that both users and operators can significantly benefit from this improved service availability at low network cost. Initial results indicate 1) 116% fewer performance violations and 2) 20% fewer performance violations with a reduction by 35 times in the number of handovers, compared to naive and state-of-the-art baselines, respectively.

Place, publisher, year, edition, pages
2018.
Keywords [en]
5G mobile communication, Long Term Evolution, mobility management (mobile radio), probability, radio access networks, resource allocation, telecommunication traffic, transport protocols, wireless LAN, radio resources, multiple radio access technologies, radio network performance, generic probabilistic approach, interface selection control case, probabilistic multiRAT performance abstractions, heterogeneous infrastructures, resource density, probabilistic user performance, UDP traffic, handovers, WiFi, LTE, Throughput, Measurement, Downlink, Probabilistic logic, Wireless fidelity, Monitoring, probabilistic modelling, heterogeneous networks, multi-RAT networks, interface selection
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-34331DOI: 10.1109/NOMS.2018.8406277Scopus ID: 2-s2.0-85050674757OAI: oai:DiVA.org:ri-34331DiVA, id: diva2:1237083
Conference
NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium
Available from: 2018-08-07 Created: 2018-08-07 Last updated: 2019-06-18Bibliographically approved

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Rao, AkhilaSteinert, Rebecca

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  • apa
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