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Globally Optimal Energy-Efficient Power Control and Receiver Design in Wireless Networks
University of Cassino and Southern Lazio, Italy.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
University of Pisa, Italy; CentraleSupelec, France.
Technical University of Dresden, Germany.
2017 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 65, no 11, 2844-2859 p.Article in journal (Refereed) Published
Abstract [en]

The characterization of the global maximum of energy efficiency (EE) problems in wireless networks is a challenging problem due to their nonconvex nature in interference channels. The aim of this paper is to develop a new and general framework to achieve globally optimal solutions. First, the hidden monotonic structure of the most common EE maximization problems is exploited jointly with fractional programming theory to obtain globally optimal solutions with exponential complexity in the number of network links. To overcome the high complexity, we also propose a framework to compute suboptimal power control strategies with affordable complexity. This is achieved by merging fractional programming and sequential optimization. The proposed monotonic framework is used to shed light on the ultimate performance of wireless networks in terms of EE and also to benchmark the performance of the lower-complexity framework based on sequential programming. Numerical evidence is provided to show that the sequential fractional programming framework achieves global optimality in several practical communication scenarios.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2017. Vol. 65, no 11, 2844-2859 p.
Keyword [en]
Energy efficiency; fractional programming; monotonic optimization; sequential programming; massive MIMO; relay networks; LTE
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-137588DOI: 10.1109/TSP.2017.2673813ISI: 000399727000007OAI: oai:DiVA.org:liu-137588DiVA: diva2:1097519
Note

Funding Agencies|German Research Foundation [CEMRIN-ZA 747/1-3]; Swedish Foundation for Strategic Research; ERC [305123 MORE]; University of Pisa [5GIOTTO]; German Research Foundation, within the Collaborative Research Center 912 HAEC

Available from: 2017-05-22 Created: 2017-05-22 Last updated: 2017-08-14

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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
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
  • rtf