首页> 外文学位 >Distributed spectrum optimization for multi-carrier interference channels.
【24h】

Distributed spectrum optimization for multi-carrier interference channels.

机译:多载波干扰信道的分布式频谱优化。

获取原文
获取原文并翻译 | 示例

摘要

In communication systems, three major objectives of resource allocation problems are data rate increase, power reduction, and delay limiting or quality of service (QoS). This thesis investigates these three objectives in various scenarios for the application of crosstalking binders of telephone lines.;The first part introduces a new dynamic spectrum management method, which influences the spectrum usage by modifying the standard bit-loading algorithms for the digital-subscriber-lines (DSL) modems. In this method, a spectrum management center (SMC) first assesses whether some modems should protect other modems on certain frequency bands - such a method is generally called a band-preference spectrum management algorithm. Then, the SMC classifies modems as strong or weak, and sends a bit indicating whether each modem has to protect other modems or not. Once a modem knows that it should be polite, it moves bits from the less preferred tones to the preferred tones. In this way, the SMC only needs to send a one-bit indication to each user; each user then autonomously manages its spectrum based on its own information.;The second part considers energy minimization for a fast-fading random-access network. Each user transmits a single fixed-length packet within a strict delay-limit in a way to minimize energy. As channels vary within the delay limit, a packet can be transmitted with minimum energy when the channel gain is the largest. However, the time-slot with the largest channel gain can not be chosen in advance because future channel states are unknown. Also, the transmission can be deferred to subsequent time slots only up to the delay limit because a packet will be dropped if it does not satisfy the delay limit The proposed algorithms assume that each user causally knows its current channel state information. With the channel distribution known to all users, the proposed dynamic-programming solution provides an optimal scheduler that minimizes the sum of energy used to transmit a packet and outage cost incurred by a packet drop.;The third part characterizes the delay region that is quite useful for multi-user packet scheduling. In a quasi-static channel, the optimal delay region is defined as every set of total delay vectors achieved by some scheduling policies when there are no further packet arrivals. Each user's total delay is equivalent to the amount of time until that user's queue backlog is cleared. The optimal delay region shows the fundamental limit on each user's achievable queueing delay and describes the trade-off among the users in terms of queueing delay when different scheduling policies are applied. In addition, the concept of the delay region is shown to be extendable to each packet's average delay as well as total delay.
机译:在通信系统中,资源分配问题的三个主要目标是数据速率增加,功率降低以及延迟限制或服务质量(QoS)。本文研究了在电话线串扰绑定器的各种应用中的这三个目标。第一部分介绍了一种新的动态频谱管理方法,该方法通过修改数字用户的标准位加载算法来影响频谱使用。线路(DSL)调制解调器。在这种方法中,频谱管理中心(SMC)首先评估某些调制解调器是否应在某些频带上保护其他调制解调器-这种方法通常称为“频带优先频谱管理算法”。然后,SMC将调制解调器分类为强或弱,并发送一个位,指示每个调制解调器是否必须保护其他调制解调器。一旦调制解调器知道它应该礼貌,就将位从不太喜欢的音调移到喜欢的音调。这样,SMC只需向每个用户发送一位指示。然后,每个用户根据自己的信息自主地管理其频谱。第二部分考虑快速衰落的随机接入网络的能量最小化。每个用户都在严格的延迟限制内以最小化能量的方式发送单个固定长度的数据包。当信道在延迟限制内变化时,当信道增益最大时,可以以最小的能量发送数据包。但是,由于未来的信道状态未知,因此无法预先选择最大信道增益的时隙。而且,由于分组如果不满足延迟限制将被丢弃,则可以将传输仅延迟到延迟限制之前的后续时隙。所提出的算法假设每个用户有因果地知道其当前信道状态信息。在所有用户都知道信道分布的情况下,所提出的动态编程解决方案提供了一种最佳的调度程序,该调度程序可最大程度地减少用于传输数据包的能量之和以及由于数据包丢失而造成的中断成本。对于多用户数据包调度很有用。在准静态信道中,最佳延迟区域定义为当没有进一步的数据包到达时,通过某些调度策略实现的每组总延迟向量。每个用户的总延迟等于清除该用户的队列积压之前的时间。最佳延迟区域显示了每个用户可达到的排队延迟的基本限制,并在应用不同的调度策略时根据排队延迟描述了用户之间的权衡。另外,延迟区域的概念被显示为可扩展到每个分组的平均延迟以及总延迟。

著录项

  • 作者

    Lee, Wooyul.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 121 p.
  • 总页数 121
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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