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Load Optimization With User Association in Cooperative and Load-Coupled LTE Networks
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
2017 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 16, no 5, 3218-3231 p.Article in journal (Refereed) Published
Abstract [en]

We extend the problem of optimizing user association for load balancing in cellular networks along 2-dimensions. First, we consider joint transmission, which is one of the coordinated multipoint techniques with which a user may be simultaneously served by multiple base stations. Second, we account for, mathematically, the coupling relation between the base stations load levels that are dependent on each other due to inter-cell interference. We formulate two optimization problems, sum load minimization (MinSumL) and maximum load minimization (MinMaxL). We prove that both MinSumL and MinMaxL are NP-hard. We propose a mixed integer linear programming based scheme by means of linearization. This approach also leads to a bounding scheme for performance benchmarking. Then, we derive a set of partial optimality conditions. Fulfillment of the conditions will guarantee performance improvement for both MinSumL and MinMaxL. A solution algorithm is then derived based on the conditions. Simulation results are provided to demonstrate the effectiveness of the approaches.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2017. Vol. 16, no 5, 3218-3231 p.
Keyword [en]
Joint transmission; load balancing; load-coupling; heterogeneous networks; resource efficiency
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-138272DOI: 10.1109/TWC.2017.2676762ISI: 000401083800037OAI: oai:DiVA.org:liu-138272DiVA: diva2:1109110
Note

Funding Agencies|Swedish Research Council; Linkoping-Lund Excellence Center in Information Technology, Sweden; European Union [FP7-PEOPLE-2012-IAPP: 324515, H2020-MSCA-2014-RISE: 645705, FP7-MSCA-2012-RISE: 318992]; EuropeanFP7 Marie Curie IOF Project [329313]

Available from: 2017-06-13 Created: 2017-06-13 Last updated: 2017-06-28

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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