| 唐苏文,陈明.基于改进粒子群算法的分布式天线系统跨层功率分配方案[J].高技术通讯(中文),2010,20(2):138~142 |
| 基于改进粒子群算法的分布式天线系统跨层功率分配方案 |
| The IMPSO based cross layer power allocation scheme in distributed antennas systems |
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| DOI： |
| 中文关键词: 功率分配，分布式天线系统(DAS)，跨层优化，改进粒子群算法(IMPSO) |
| 英文关键词: power allocation, distributed antennas system (DAS), cross layer optimization, improved particle swarm optimization algorithm (IMPSO) |
| 基金项目:863计划(2007AA01Z207)，新世纪人才计划和东南大学移动通信国家重点实验室研究课题(2008A06)资助项目 |
| 作者 | 单位 | | 唐苏文 | 东南大学移动通信国家重点实验室 | | 陈明 | 东南大学移动通信国家重点实验室 |
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| 中文摘要: |
| 结合数据链路层的队列状态信息和物理层的信道状态信息定义了系统的吞吐量系数和公平性系数，建立了分布式天线系统跨层功率分配的离散速率集优化模型。对粒子群优化算法的初始群体产生、粒子更新等步骤进行了改进，形成了改进粒子群算法(IMPSO)。利用IMPSO进行了动态功率分配和跨层优化。数值仿真结果表明，IMPSO能够取得很好的队列时延性能，选取不同的权重可对系统吞吐量性能和公平性性能产生重要影响，IMPSO获得的系统吞吐量性能和公平性性能较之功率固定分配算法(AP)均有较大幅度的提高。 |
| 英文摘要: |
| A cross layer power allocation scheme for distributed antennas systems is proposed in this paper. From a cross layer perspective, the system throughput coefficient and the fairness coefficient are defined by taking both queue state information in the data link layer and channel state information in the physical layer into consideration. Then, an optimal power allocation model based on discrete rates is established. The steps such as generating of initial population and particle updating of the particle swarm optimization (PSO) algorithm are improved to make up the improved particle swarm optimization algorithm (IMPSO) to conduct power allocation. The simulation results show that the IMPSO can obtain the lower queue delay and selection of different weighs can influence the system throughput coefficient and fairness coefficient significantly. The system throughput coefficient and fairness coefficient obtained by the IMPSO can increase more considerably than those by the fixed power allocation algorithm. |
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