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Bandwidth efficiency and power efficiency issues for wireless transmissions.

机译：无线传输的带宽效率和功率效率问题。

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摘要

As wireless communication becomes an ever-more important and pervasive part of our everyday life, system capacity and quality of service issues are becoming more critical. In order to increase the system capacity and improve the quality of service, it is necessary that we pay closer attention to bandwidth and power efficiency issues.; Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique for high speed data transmission and is generally regarded as bandwidth efficient. However, OFDM signals suffer from high peak-to-average power ratios (PARs) which lead to power inefficiency in the RF portion of the transmitter. Moreover, in OFDM, the well-known pilot tone assisted modulation (PTAM) technique utilizes a number of dedicated training pilots to acquire the channel state information (CSI), resulting in somewhat reduced bandwidth efficiency.; In this dissertation, we will address the above mentioned bandwidth and power efficiency issues in wireless transmissions. To avoid bandwidth efficiency loss due to dedicated training, we will first develop a superimposed training framework that can be used to track the frequency selective as well as the Doppler shift characteristics of a channel. Later on, we will propose a generalized superimposed training framework that allows improved channel estimates. To improve the power efficiency, we adopt the selected mapping (SLM) framework to reduce the PARs for both OFDM and forward link Code Division Multiple Access (CDMA). We first propose a dynamic SLM algorithm to greatly reduce the computational requirement of SLM without sacrificing its PAR reducing capability. We propose a number of blind SLM techniques for OFDM and for forward link CDMA; they require no side information and are easy to implement. Our proposed blind SLM technique for OFDM is a novel joint channel estimation and PAR reduction algorithm, for which bandwidth efficiency - power efficiency - complexity - bit error rate tradeoffs are carefully considered.
机译：随着无线通信成为我们日常生活中越来越重要和普遍的部分，系统容量和服务质量问题变得越来越关键。为了增加系统容量并提高服务质量，我们必须密切关注带宽和功率效率问题。正交频分复用（OFDM）是一种用于高速数据传输的多载波调制技术，通常被认为具有带宽效率。然而，OFDM信号具有高的峰均功率比（PAR），这导致发射机的RF部分中的功率效率低下。此外，在OFDM中，众所周知的导频音辅助调制（PTAM）技术利用大量专用训练导频来获取信道状态信息（CSI），从而导致带宽效率有所降低。在本文中，我们将解决无线传输中的上述带宽和功率效率问题。为了避免由于专门训练而造成带宽效率损失，我们将首先开发一种叠加训练框架，该框架可用于跟踪频道的频率选择以及多普勒频移特性。稍后，我们将提出一个通用的叠加训练框架，该框架可以改进频道估计。为了提高功率效率，我们采用选定的映射（SLM）框架来减少OFDM和前向链路码分多址（CDMA）的PAR。我们首先提出一种动态SLM算法，以在不牺牲其PAR降低能力的情况下大大降低SLM的计算需求。我们提出了许多用于OFDM和前向链路CDMA的盲SLM技术。它们不需要辅助信息，并且易于实现。我们针对OFDM提出的盲SLM技术是一种新颖的联合信道估计和PAR缩减算法，在该算法中，带宽效率-功率效率-复杂度-误码率的折衷考虑在内。

著录项

  • 作者

    Chen, Ning.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 128 p.
  • 总页数 128
  • 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

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