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Resource Optimization With Flexible Numerology and Frame Structure for Heterogeneous Services
Uppsala Univ, Sweden.
Nokia Bell Labs, Germany.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4416-7702
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
2018 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 22, no 12, p. 2579-2582Article in journal (Refereed) Published
Abstract [en]

We explore the potential of optimizing resource allocation with flexible numerology in frequency domain and variable frame structure in time domain, with services of with different types of requirements. We prove the NP-hardness of the problem and propose a scalable optimization algorithm based on linear programming and Lagrangian duality. Numerical results show significant advantages of adopting flexibility in both time and frequency domains for capacity enhancement and meeting the requirements of mission critical services.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2018. Vol. 22, no 12, p. 2579-2582
Keywords [en]
Flexible TTI; 2D resource optimization
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-153685DOI: 10.1109/LCOMM.2018.2865314ISI: 000453624300046OAI: oai:DiVA.org:liu-153685DiVA, id: diva2:1276226
Note

Funding Agencies|European Union H2020 MSCA [643002, 645705]; European Union [643002, 645705]; Center for Industrial Information Technology (CENIIT)

Available from: 2019-01-07 Created: 2019-01-07 Last updated: 2019-05-09

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • Other locale
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Output format
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