English

应用科学学报 ›› 2011, Vol. 29 ›› Issue (4): 331-339.doi: 10.3969/j.issn.0255-8297.2011.04.001

• 通信工程 •    下一篇

协作中继系统多目标联合的跨层资源分配

唐伦1;2， 龙叶华1， 陈前斌1， 曾孝平2   

  1. 1. 重庆邮电大学移动通信重点实验室，重庆400065
    2. 重庆大学通信工程学院，重庆400044
  • 收稿日期:2010-10-14 修回日期:2011-01-14 出版日期:2011-07-30 发布日期:2011-07-30
  • 作者简介:唐伦，博士，副教授，研究方向：新一代无线通信技术，E-mail: tangl@cqupt.edu.cn；陈前斌，博士，教授，博导，研究方向： 下一代网络、个人通信，E-mail: chenqb@cqupt.edu.cn；曾孝平，博士，教授，博导，研究方向：通信信号处理，E-mail: zengxp@cqu.edu.cn
  • 基金资助:

    国家科技重大专项基金(No.2008ZX03003-005, No.2011ZX03003-003-02)； 国家科技支撑计划基金(No.2008BAH30B10)；国家自然科学基金(No.60972070)；重庆市自然科学基金(No.CSTC2009BA2090)；重庆市教委项目基金(No.KJ100514)；重庆邮
    电大学博士启动基金(No.A2011-2)；重庆市科委重点实验室专项基金资助

Multi-objective Optimization of Cross-Layer Resource Allocation in Cooperative Relay Systems

TANG Lun1;2, LONG Ye-hua1, CHEN Qian-bin1, ZENG Xiao-ping2     

  1. 1. Key Laboratory of Mobile Communication Technology, Chongqing University of Posts and
    Telecommunications, Chongqing 400065, China
    2. Communication Engineering College, Chongqing University, Chongqing 400044, China
  • Received:2010-10-14 Revised:2011-01-14 Online:2011-07-30 Published:2011-07-30
  • Supported by:

    国家科技重大专项基金(No.2008ZX03003-005, No.2011ZX03003-003-02)； 国家科技支撑计划基金(No.2008BAH30B10)；国家自然科学基金(No.60972070)；重庆市自然科学基金(No.CSTC2009BA2090)；重庆市教委项目基金(No.KJ100514)；重庆邮电大学博士启动基金(No.A2011-2)；重庆市科委重点实验室专项基金资助

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1664

被引次数

1

摘要：

 研究了机会协作中继系统中可靠性、有效容量和功率消耗的联合优化问题. 分析了机会协作中继系统的可靠性、有效容量和功率消耗公式，分别提出两个优化模型：联合系统可靠性和有效容量的网络效用最大化模型，以及最小化系统总功率消耗优化模型. 为了在可靠性、有效容量、功率消耗之间寻求平衡，提出一种以提升网络效用与降低网络功耗为目标的联合优化模型. 通过拉格朗日对偶分解法设计联合优化模型的分布式求解算法，改变权衡因子?以获得系统可靠性和有效容量之间的平衡. 通过改变联合优化目标中的权衡因子w获取网络效用与功耗之间的平衡点. 仿真结果验证了该分布式算法可有效取得协作中继系统的可靠性、有效容量、功率消耗三者之间的平衡.

关键词: 机会协作通信；凸优化；跨层设计；效用最大化

Abstract:

Joining optimization in reliability, transmission rate and power consumption in the cooperative relay networks is addressed in the paper. Formulas of reliability, transmission rate and power consumption are analyzed, and two optimization models proposed: maximization of network utility model depending on reliability and transmission rate, and minimization of power consumption. To implement compromise among
reliability, transmission rate and power consumption, a cross-layer optimization model is proposed to combine
network utility and power consumption. With the Lagrangian decomposition method, a distributed algorithm
is developed to solve the joining optimization problem. The algorithm can achieve tradeoff between reliability
and transmission rate by changing a factor ?. Further adjustment of the tradeoff factor in the joining optimization
model leads to a tradeoff between network utility and power consumption. Simulation results show
that the proposed algorithm is effective to achieve a tradeoff among reliability, transmission rate and power
consumption.

Key words:  opportunistic cooperative communication, convex optimization, cross-layer design, utility maximization

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