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Transmitter- and receiver-based optimization of signaling-assisted modulation classification in MIMO-OFDM systems with adaptive modulation and coding

具有自适应调制和编码的 MIMO-OFDM 系统中基于发射机和接收机的信令辅助调制分类的优化

基本信息

批准号：
211258124
负责人：
Dr.-Ing. Lars Häring
金额：
--
依托单位：
Fachgebiet Nachrichtentechnische Systeme (NTS)
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2011
资助国家：
德国
起止时间：
2010-12-31 至 2014-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/211258124?language=en
关键词：
Transmitter receiver based optimization signaling

项目摘要

Adaptive modulation and coding is a powerful technique in OFDM systems to optimally adapt the transmit signal to the current state of the frequency-selective propagation channel. One major drawback is that transmitter and receiver must be synchronized with respect to the modulation and coding schemes used on all subcarriers. In mobile communication systems with rapidly varying propagation channels, explicit signaling of these transmit parameters - especially of the modulation schemes - causes a significant reduction of the useful data rate. Alternatively, the bit allocation table which is the list of modulation schemes on the subcarriers can be automatically classified based upon the observed receive signal.The approach investigated here considered the joint optimization of the adaptive transmit algorithm and modulation classification in a time-division-duplex system where a minor amount of signaling information is utilized. The objective of the overall applied project is to develop new methods to classify digital modulation schemes for multiple-input multiple-output (MIMO) systems with adaptive modulation and coding which maximize the system performance in terms of the effective bandwidth efficiency with minimal signaling overhead.In the first funded period new signaling concepts have been developed which increase the accuracy of the the classification on the one hand, but reduce the overhead compared to conventional signaling concepts on the other hand. Moreover, further improvements have been achieved by a joint optimization of the transmitter and receiver strategy. Currently, the classification methods are extended to multiple-antenna systems. The results achieved in the first project phase show ernormeous potential of signaling-based modulation classification also in application to wireless mobile communication systems and motivate further investigations.In the last third of the project herewith applied, the maximum-a-posteriori classification algorithms are to be verified and their parametrization is to be optimized using a software-defined-radio platform. One key factor of a high classification reliability turned out to be the utilization of reciprocity which at least partly exists in the considered time-division duplex system. The amount of reciprocity available in realistic scenarios is to be determined by the implementation of the classification algorithms in an experimental system. From that follows the requirements to the necessary signaling overhead to ensure a reliable classification.

自适应调制和编码是OFDM系统中的一种强大技术，用于使发射信号最佳地适应频率选择性传播信道的当前状态。一个主要缺点是发射机和接收机必须相对于在所有子载波上使用的调制和编码方案同步。在具有快速变化的传播信道的移动的通信系统中，这些发送参数的显式信令-特别是调制方案的显式信令-导致有用数据速率的显著降低。另外，比特分配表，这是在子载波上的调制方案的列表，可以自动分类基于所观察到的接收signal.The这里研究的方法考虑了自适应发送算法和调制分类的联合优化在时分双工系统中，少量的信令信息被利用。整个应用项目的目标是开发新的方法来对具有自适应调制和编码的多输入多输出（MIMO）系统的数字调制方案进行分类，这些方法在有效带宽效率方面以最小的信令开销最大化系统性能。在第一个资助期内，已经开发了新的信令概念，其一方面增加了分类的准确性，但另一方面与传统信令概念相比减少了开销。此外，通过发射机和接收机策略的联合优化，已经实现了进一步的改进。目前，分类方法被扩展到多天线系统。在第一个项目阶段取得的成果显示基于信号的调制分类也在无线移动的通信系统中的应用，并激励进一步的调查。在最后三分之一的项目，应用，最大后验分类算法进行验证，并使用软件定义的无线电平台，其参数化进行优化。一个高的分类可靠性的一个关键因素原来是利用的互易性，至少部分存在于所考虑的时分双工系统。在现实场景中可用的互易性的量是由实验系统中的分类算法的实施来确定的。接下来是必要的信令开销的要求，以确保可靠的分类。