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81.
Uplink scheduling in wireless systems is gaining importance due to arising uplink intensive data services (ftp, image uploads
etc.), which could be hampered by the currently in-built asymmetry in favor of the downlink. In this work, we propose and
study algorithms for efficient uplink packet-data scheduling in a CDMA cell. The algorithms attempt to maximize system throughput
under transmit power limitations on the mobiles assuming instantaneous knowledge of user queues and channels. However no channel
statistics or traffic characterization is necessary. Apart from increasing throughput, the algorithms also improve fairness
of service among users, hence reducing chances of buffer overflows for poorly located users.
The major observation arising from our analysis is that it is advantageous on the uplink to schedule “strong” users one-at-a-time,
and “weak” users in larger groups. This contrasts with the downlink where one-at-a-time transmission for all users has shown
to be the preferred mode in much previous work. Based on the optimal schedules, we propose less complex and more practical
approximate methods, both of which offer significant performance improvement compared to one-at-a-time transmission, and the
widely acclaimed Proportional Fair (PF) algorithm, in simulations. When queue content cannot be fed back, we propose a simple modification of PF, Uplink PF (UPF), that offers similar improvement.
Hereafter, we refer to users with low recieved power at the base even when transmitting at peak transmit power as “weak” users,
and the strongly recieved users at the base as “strong” users.
Krishnan Kumaran is currently a member of the Complex Systems Modeling section in the Corporate Strategic Research of ExxonMobil Corp., Clinton,
NJ. Formerly, he was a Member of Technical Staff in the Mathematics of Networks and Systems Research Department at Bell Labs
in Murray Hill, NJ, where his research interests were in modeling, analysis and simulation of design, resource management
and scheduling issues in telecommunication networks.
Lijun Qian is an assistant professor in the Department of Electrical Engineering at Prairie View A&M University. He received his B.S.
from Tsinghua University in Beijing, M.S. from Technion-Israel Institute of Technology, and Ph.D. from WINLAB, Rutgers University,
all in electrical engineering. Before joining PVAMU, he was a researcher at Networks and Systems Research Department of Bell
Labs in Murray Hill, NJ. His major research interests are in wireless communications and networking technologies, especially
in radio resource management, protocol design, TCP/RLP optimization and MPLS traffic engineering. 相似文献
82.
提出并比较了应用于分组空时块码(G—STBC)系统中两种不同信道模型的排序最大信噪比(MaxSNR)检测算法。该系统在发端对发射天线分组,每组进行独立的空时块码编码;在收端应用排序最大信噪比算法进行检测。由于空时块码提供了额外的时域约束,所以可以利用这个约束对信道模型进行变换,得到一个等效信道模型,然后再使用排序MaxSNR检测;当然也可以直接利用原有的信道模型,即非等效信道模型进行检测。仿真结果表明:当接收天线数不少于发射天线数的一半时,采用等效信道模型下的排序MaxSNR算法,系统的误码曲线就能保持陡降性;并且在收发天线数相同时,其性能总是优于非等效信道模型。 相似文献
83.
84.
简要介绍了通过IP网络上电路倍增设备(IP CME)的数据流的处理过程;IP CME中的复用技术;控制IP包发送的激活算法;网络发生拥塞丢包的处理方法;并在传输效率和信令处理2个方面与VOIP进行比较,可以看出IP CME具有很大的优越性和良好的发展前景。 相似文献
85.
86.
径向基函数神经网络的再学习算法及其应用 总被引:3,自引:1,他引:2
谭建辉 《微电子学与计算机》2006,23(5):115-117,120
为了应用径向基函数神经网络逐步地识别待研究系统,文章针对径向基函数神经网络的再学习算法开展了深入的研究.应用严格的数学推理方法,将径向基函数神经网络的再学习问题转化为矩阵求逆的附加运算.详细给出了径向基函数神经网络再学习算法中增加新训练样本和增加新基函数的数学公式,同时对如何获取新的训练样本进行了研究. 相似文献
87.
目前需求预测在整个印制电路板产业的生产活动控制中正扮演着越来越重要的角色。分析了影响印制电路板需求的因素和现有的预测方法,提出了一种适用于PCB产业需求预测的有效方法——遗传/BP—神经网络。实验表明该方法能够进一步改善印制电路板预测的准确度和减少生产成本的消耗。 相似文献
88.
嵌入式GPS车载系统定位数据压缩算法的实现 总被引:2,自引:0,他引:2
根据嵌入式系统的特征,分析数据压缩模型工作原理,结合GPS定位数据的格式和特点,创造性地提出了嵌入式GPS定位数据的实时压缩的新算法,并通过模拟仿真得到验证,效果显著。 相似文献
89.
Communicating with sensors has long been limited either to wired connections or to proprietary wireless communication protocols. Using a ubiquitous and inexpensive wireless communication technology to create Sensor Area Networks (SANs) will accelerate the extensive deployment of sensor technology. Bluetooth, an emerging, worldwide standard for inexpensive, local wireless communication is a viable choice for SANs because of its inherent support for some of the important requirements – low power, small form factor, low cost and sufficient communication range. In this paper we outline an approach, centered on the Bluetooth technology, to support a sensor network composed of fixed wireless sensors for health monitoring of highways, bridges and other civil infrastructures. We present a topology formation scheme that not only takes into account the traffic generated by different sensors but also the associated link strengths, buffer capacities and energy availability. The algorithm makes no particular assumptions as to the placement of nodes, and not all nodes need to be in radio proximity of each other. The output is a tree shaped scatternet rooted at the sensor hub (data logger) that is balanced in terms of traffic carried on each of the links. We also analyze the scheduling, routing and healing aspects of the resulting sensor-net topology. 相似文献
90.
网格资源管理系统模型研究 总被引:10,自引:3,他引:7
网格资源管理系统是网格计算系统的重要组成部分。文章分析了网格资源管理系统的功能需求,具体论述了该模型的原型系统,最后介绍了相关研究工作。 相似文献