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Resource Allocation for a Full-Duplex Base Station Aided OFDMA System
KTH, School of Electrical Engineering (EES), Information Science and Engineering.
2017 (English)In: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON EDUCATIONAL MANAGEMENT AND ADMINISTRATION (COEMA 2017) / [ed] Kusumaningrum, D E, ATLANTIS PRESS , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Exploiting full-duplex (FD) technology on base stations (BSs) is a promising solution to enhancing the system performance. Motivated by this, we revisit a full-duplex base station (FD-BS) aided OFDMA system, which consists of one BS, several uplink/downlink users and multiple subcarriers. A joint 3-dimensional (3D) mapping scheme among subcarriers, down-link users (DUEs), uplink users (UUEs) is considered as well as an associated power allocation optimization. In detail, we first decompose the complex 3D mapping problem into three 2-dimensional sub ones and solve them by using the iterative Hungarian method, respectively. Then based on the Lagrange dual method, we sequentially solve the power allocation and 3-dimensional mapping problem by fixing a dual point. Finally, the optimal solution can be obtained by utilizing the sub-gradient method. Unlike existing work that only solves either 3D mapping or power allocation problem but with a high computation complexity, we tackle both of them and have successfully reduced computation complexity from exponential to polynomial order. Numerical simulations are conducted to verify the proposed scheme.

Place, publisher, year, edition, pages
ATLANTIS PRESS , 2017.
Series
AEBMR-Advances in Economics Business and Management Research, ISSN 2352-5428 ; 45
Keyword [en]
Full-duplex base station, resource allocation, 3-dimensional binary assignment, Lagrange dual method
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-225277DOI: 10.1109/SPAWC.2017.8227696ISI: 000426993900060Scopus ID: 2-s2.0-85044208849ISBN: 978-94-6252-378-4 OAI: oai:DiVA.org:kth-225277DiVA, id: diva2:1194426
Conference
18th IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC), JUL 03-06, 2017, Sapporo, JAPAN
Note

QC 20180403

Available from: 2018-04-03 Created: 2018-04-03 Last updated: 2018-04-03Bibliographically approved

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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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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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