Please submit manuscripts in either of the following two submission systems

    ScholarOne Manuscripts

  • ScholarOne
  • 勤云稿件系统

  • 登录

Search by Issue

  • 2024 Vol.31
  • 2023 Vol.30
  • 2022 Vol.29
  • 2021 Vol.28
  • 2020 Vol.27
  • 2019 Vol.26
  • 2018 Vol.25
  • 2017 Vol.24
  • 2016 vol.23
  • 2015 vol.22
  • 2014 vol.21
  • 2013 vol.20
  • 2012 vol.19
  • 2011 vol.18
  • 2010 vol.17
  • 2009 vol.16
  • No.1
  • No.2

Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

期刊网站二维码
微信公众号二维码
Related citation:Zhengyu Song,Shujuan Hou,Siliang Wu.Downlink Resource Allocation with Multi-Objective Optimization in OFDMA Systems[J].Journal of Harbin Institute Of Technology(New Series),2015,22(1):68-72.DOI:10.11916/j.issn.1005-9113.2015.01.011.
【Print】   【HTML】   【PDF download】   View/Add Comment  Download reader   Close
←Previous|Next→ Back Issue    Advanced Search
This paper has been: browsed 1383times   downloaded 955times 本文二维码信息
码上扫一扫!
Shared by: Wechat More
Downlink Resource Allocation with Multi-Objective Optimization in OFDMA Systems
Author NameAffiliation
Zhengyu Song School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China 
Shujuan Hou School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China 
Siliang Wu School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China 
Abstract:
A downlink radio resource allocation algorithm is proposed for orthogonal frequency division multiple access (OFDMA) systems. The resource allocation problem about system throughput and user fairness is formulated based on the multi-objective optimization theory. Then the optimality conditions are derived, according to which a joint subcarrier and power allocation algorithm is proposed. The simulation results show that the proposed algorithm can dynamically achieve arbitrary levels of compromise between throughput and fairness by adjusting the weighting coefficient, outperforming some static algorithms. In comparison, the classic maximum rate algorithm (MRA), max-min algorithm and proportional fairness (PF) algorithm can only achieve tradeoff in a certain level and are all special cases of the proposed algorithm.
Key words:  OFDMA  resource allocation  multi-objective optimization  throughput  fairness
DOI:10.11916/j.issn.1005-9113.2015.01.011
Clc Number:TN929.52
Fund:

LINKS