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基于应用时间窗多用户MIMO-OFDM系统中的比例公平算法
  • 期刊名称：电子与信息学报, 31(10), pp 2359-2363, 2009/10/15(中国知网).(
  • 时间：0
  • 分类：TN929.5[电子电信—通信与信息系统;电子电信—信息与通信工程]
  • 作者机构：[1]南京航空航天大学信息科学与技术学院,南京210016
  • 相关基金：江苏省自然科学基金（BK2007192）和国家自然科学基金（60801052）资助课题
  • 相关项目：基于三线性/多线性分解理论的极化敏感阵列信号处理研究
关键词： MIMO-OFDM, 应用时间窗, 延时信道状态信息, 影子价格, 比例公平, MIMO-OFDM, Application time window, Delay channel state information, Shadow price, Proportional fairness
中文摘要：

该文针对基于延时信道状态信息的多用户MIMO-OFDM系统，在用户比例速率要求和功率限制的情况下，以最大化时间窗Ⅳ内系统吞吐量为目标，提出了一种基于应用时间窗比例公平算法。该算法首先设计各子载波上满足用户误比特率要求的星座距离，然后把系统中每个用户按照其比例映射为相应数目的虚拟用户，最后根据影子价格把子载波最优地分配给虚拟用户。仿真结果表明，该算法在保证用户公平性的基础上，有效地提高了系统吞吐量。

英文摘要：

A novel proportional fairness algorithm based on the application time window for multiuser MIMO- OFDM systems with delay channel state information is presented in this paper. With the goal of maximizing overall data throughput in a finite time window W subject to user proportional rate constraints and user power constraints the algorithm of resource allocation is proposed. This algorithm firstly designs constellation distance which meets user＇s bit error rate. Then it maps every user into the corresponding virtual users according to the proportion. Finally in accordance with the shadow price of optimization theory it optimally allocates subcarrier to virtual users. The simulation results show the algorithm can improve total throughput efficiently under the condition of guaranteeing the proportional fairness of users.

同期刊论文项目
基于三线性/多线性分解理论的极化敏感阵列信号处理研究
期刊论文 57 会议论文 14 著作 1
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