...
首页> 外文期刊>Journal of communications >Cell Site Power Characterization for Multi-rate Wireless CDMA Data Networks Using Lognormal Approximation
【24h】

Cell Site Power Characterization for Multi-rate Wireless CDMA Data Networks Using Lognormal Approximation

机译:使用对数正态近似的多速率无线CDMA数据网络小区站点功率表征

获取原文

摘要

An analytical model is developed to solve the power-rate assignment problem for multi-rate CDMA systems and calculate the probability density function (PDF) for the downlink traffic power as a function of the bit rate assignment scheme, the target link quality figure, and the other network parameters. This paper proposes the use of the lognormal random variable as an approximation for an empirical parameter (denoted herein by fi) that is needed to solve the energy per-bit to noise spectral power density equation for scheduled data bursts. The approximation depends on matching the mean and standard deviation of the lognormal variable to the mean and standard deviation of the empirical parameter fi where the matching depends only the radio frequency (RF) path loss model and the shadowing process standard deviation. The paper presents example calculations for the cumulative probability distribution (CDF) of the downlink traffic power and outage probabilities for a general CDMA system assuming specific scenarios of data bit rate assignments. The study also compares between analytical results and those obtained using conventional Monte-Carlo simulations. Comparisons indicate that the developed model provides an appropriate mechanism to approximate both the PDF or CDF, and the outage probability for the cell site total downlink traffic power.
机译:开发了一种分析模型来解决多速率CDMA系统的功率分配问题,并根据比特率分配方案,目标链路质量指标和下行链路业务功率计算概率密度函数(PDF)其他网络参数。本文提出使用对数正态随机变量作为经验参数(此处用fi表示)的近似值,该经验参数是解决计划数据突发的每比特能量对噪声频谱功率密度方程的方法。近似值取决于对数正态变量的均值和标准偏差与经验参数fi的均值和标准偏差的匹配,其中匹配仅取决于射频(RF)路径损耗模型和阴影过程标准差。本文假设在特定的数据比特率分配方案的情况下,给出了一般CDMA系统的下行链路业务功率累积概率分布(CDF)和中断概率的示例计算。该研究还将分析结果与使用常规蒙特卡洛模拟获得的结果进行比较。比较表明,开发的模型提供了一种合适的机制来近似PDF或CDF以及小区站点总下行链路业务功率的中断概率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号