Enhancing spectral efficiency in advanced multicarrier techniques: A challenge

L. Baltar, Tobias Laas, M. Newinger, A. Mezghani, J. Nossek
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引用次数: 7

Abstract

Advanced multicarrier systems, like the Offset-QAM filter bank based (OQAM-FBMC) ones, are gaining importance as candidates for the physical layer of the 5-th generation of wireless communications. One of the main advantages of FBMC, when compared to traditional cyclic prefix based OFDM, is its higher spectral efficiency. However, this gain can be lost again if the problem of training based channel estimation is not tackled correctly. This is due to the memory inserted by the longer pulse shaping and the loss of orthogonality of overlapping subcarriers. In this paper we approach the problem of training based channel estimation for FBMC systems. We propose an iterative algorithm based on the expectation maximization (EM) maximum likelihood (ML) that reduces the overhead and consequently improves the spectral efficiency.
提高先进多载波技术的频谱效率:一个挑战
先进的多载波系统,如基于Offset-QAM滤波器组(OQAM-FBMC)的系统,作为第5代无线通信物理层的候选者,正变得越来越重要。与传统的基于循环前缀的OFDM相比,FBMC的主要优点之一是具有更高的频谱效率。然而,如果没有正确解决基于训练的信道估计问题,这种增益可能会再次丢失。这是由于较长的脉冲整形所插入的记忆和重叠子载波正交性的丧失。本文研究了基于训练的FBMC系统信道估计问题。我们提出了一种基于期望最大化(EM)最大似然(ML)的迭代算法,该算法减少了开销,从而提高了频谱效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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