Fairness Aware Chunk-based Resource Allocation in Multi-cell OFDMA Networks

Resource allocation (RA) in multi-cell Orthogonal Frequency-Division Multiple Access (OFDMA) systems is very important for maximizing system throughput. Although sub-channel RA is optimal in terms of system throughput, more interest is given to chunk-based RA so as to simplify allocation algorithms and minimize required signalling. In this paper, the authors propose a fairness-aware chunk-based RA algorithm for the downlink transmission of multi-cell OFDMA system with fractional frequency reuse (FFR) adoption. Simulation results reveal that the proposed algorithm outperforms two reference algorithms in literature in terms of some system metrics such as average system spectral efficiency (SE), users fairness and rates of cell-edge users.

• Record URL:
  • https://doi.org/10.1109/ICCVE.2014.7297707
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7284675&punumber%3D7284675%26filter%3DAND%28p_IS_Number%3A7297490%29%26pageNumber%3D2%26rowsPerPage%3D100&pageNumber=3&rowsPerPage=100
• Supplemental Notes:
  • Copyright © 2014, IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Selim, Mahmoud M
  • Muta, Osamu
  • Shalaby, Hossam
  • Furukawa, Hiroshi
• Conference:
  • 2014 International Conference on Connected Vehicles and Expo (ICCVE)
  • Location: Vienna , Austria
  • Date: 2014-11-3 to 2014-11-7
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 994-999
• Monograph Title: 2014 International Conference on Connected Vehicles and Expo (ICCVE)

Subject/Index Terms

• TRT Terms: Algorithms; Frequency allocation; Frequency domain analysis; Resource allocation; Simulation; Spectrum analysis
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01615293
• Record Type: Publication
• ISBN: 9781479967308
• Files: TRIS
• Created Date: Oct 28 2016 9:14AM