中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (2): 50-55.doi: 1005-8885 (2008) 02-0050-06

• Wireless • 上一篇    下一篇

Fairness based resource allocation for uplink OFDMA systems

赵毅,曾令康,谢刚,刘元安,熊芳   

  1. Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:2007-08-23 修回日期:1900-01-01 出版日期:2008-06-30
  • 通讯作者: 赵毅

Fairness based resource allocation for uplink OFDMA systems

ZHAO Yi, ZENG Ling-kang, XIE Gang, LIU Yuan-an, XIONG Fang   

  1. Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2007-08-23 Revised:1900-01-01 Online:2008-06-30
  • Contact: ZHAO Yi

摘要:

This article investigates two fairness criteria with regard to adaptive resource allocation for uplink orthogonal frequency division multiple access (OFDMA) systems. Nash bargaining solution (NBS) fairness and proportional fairness (PF) are two suitable candidates for fairness consideration, and both can provide attractive trade-offs between total throughput and each user’s capacity. Utilizing Karush-Kuhn- Tucker (KKT) condition and iterative method, two effective algorithms are designed, to achieve NBS fairness and proportional fairness, respectively. Simulation results show that the proposed resource allocation algorithms achieve good tradeoff between the overall rate and fairness, with little performance loss from the total capacity.

关键词:

;OFDMA,;resource;allocation,;fairness

Abstract:

This article investigates two fairness criteria with regard to adaptive resource allocation for uplink orthogonal frequency division multiple access (OFDMA) systems. Nash bargaining solution (NBS) fairness and proportional fairness (PF) are two suitable candidates for fairness consideration, and both can provide attractive trade-offs between total throughput and each user’s capacity. Utilizing Karush-Kuhn- Tucker (KKT) condition and iterative method, two effective algorithms are designed, to achieve NBS fairness and proportional fairness, respectively. Simulation results show that the proposed resource allocation algorithms achieve good tradeoff between the overall rate and fairness, with little performance loss from the total capacity.

Key words:

OFDMA;resource allocation;fairness

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