| 加权比例公平自适应粒子群跨层资源分配算法 |
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| 引用本文： | 侯华,李亘煊,周武旸.加权比例公平自适应粒子群跨层资源分配算法[J].北京邮电大学学报,2012,35(5):59-62. |
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| 作者姓名： | 侯华 李亘煊 周武旸 |
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| 作者单位： | 河北工程大学信息与电气工程学院,河北邯郸,056038;中国科技大学电子工程与信息科学系,合肥,230027 |
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| 基金项目： | 河北省教育厅关键项目(ZH2011222);河北省自然科学基金(F201202046) |
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| 摘 要： | 针对多用户正交频分复用系统,提出一种新的适合于混合业务的加权比例公平自适应粒子群跨层资源分配算法(WAPCRA).该算法在媒体接入控制层进行加权比例公平调度;在物理层将自适应粒子群算法引入其资源分配,并推导出一种新的功率分配方式.仿真结果表明,WAPCRA能在低复杂度、保证用户公平性和满足用户业务流时延需求的基础上,有效提高系统总速率.
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| 关 键 词： | 正交频分复用系统 自适应粒子群算法 混合业务 比例公平 |
| 收稿时间： | 2011-08-29 |
Weighted Proportional Fairness Adaptive Particle Swarm Optimization Cross-Layer Resource Allocation Algorithm |
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| HOU Hua,LI Gen-xuan,ZHOU Wu-.Weighted Proportional Fairness Adaptive Particle Swarm Optimization Cross-Layer Resource Allocation Algorithm[J].Journal of Beijing University of Posts and Telecommunications,2012,35(5):59-62. |
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| Authors: | HOU Hua LI Gen-xuan ZHOU Wu- |
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| Affiliation: | 1. School of Information Science and Electrical Engineering, Hebei University of Engineering2. Department of Electronic Engineering and Information Science, University of Science and Technology of China |
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| Abstract: | A new weighted proportional fairness adaptive particle swarm optimization cross-layer resource allocation algorithm (WAPCRA) is proposed for multi-user orthogonal frequency division multiplexing (OFDM) system. The algorithm executes weighted proportional fairness scheduling in the media access control layer, leads adaptive particle swarm optimization algorithm into its resource allocation and derives a new power allocation pattern in the physical layer. Simulation demonstrates that WAPCRA algorithm can increase effectively the total system rates on the basis of low complexity, guaranteeing users ''fairness and meeting the delay of users’ traffic. |
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| Keywords: | orthogonal frequency division multiplexing system adaptive particle swarm optimization algorithm heterogeneous traffic proportional fairness |
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