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Energy efficient multi-connectivity algorithms for ultra-dense 5G networks
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4076-9482
Ericsson Research, Luleå, Sweden.
Ericsson Research, Luleå, Sweden.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. (Mobile and Pervasive Computing)ORCID iD: 0000-0003-0244-3561
2019 (English)In: Wireless networks, ISSN 1022-0038, E-ISSN 1572-8196, p. 1-16Article in journal (Refereed) Epub ahead of print
Abstract [en]

Two radio air interfaces, Evolved-LTE and New Radio, coexist in new 5G systems. New Radio operates in the millimeter band and provides a better bandwidth, but the higher frequencies also imply worse radio conditions. Multi-connectivity, a feature of 5G that allows users to connect to more than one base station simultaneously, can offer the advantages of both interfaces. In this paper, we investigate how multi-connectivity can improve user reliability and the system’s energy efficiency. Five algorithms for secondary cell association are presented and evaluated. We show a decrease in the radio link failure rate of up to 50% at high speeds and improvements of the energy efficiency of up to 20% at low speeds.

Place, publisher, year, edition, pages
Springer, 2019. p. 1-16
Keywords [en]
Multi connectivity, Energy efficiency, Ultra dense network, 5G, Multi-RAT
National Category
Computer Sciences
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-75301DOI: 10.1007/s11276-019-02056-wScopus ID: 2-s2.0-85068151739OAI: oai:DiVA.org:ltu-75301DiVA, id: diva2:1337396
Available from: 2019-07-14 Created: 2019-07-14 Last updated: 2019-08-22

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