Power loading and spectral efficiency comparison of MIMO OFDM/FBMC for interference alignment based cognitive radio systems

2014 11th International Symposium on Wireless Communications Systems (ISWCS) Pub Date : 2014-10-23 DOI:10.1109/ISWCS.2014.6933401

M. El-Absi, M. Shaat, F. Bader, T. Kaiser

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引用次数: 5

Abstract

Interference alignment (IA) has been proposed to optimally manage the interference aiming at providing the maximum degrees of freedom for multiuser interference channels. Therefore, IA has been used in cognitive radio (CR) systems to perform resource management in order to improve the throughput of the OFDM/FBMC based MIMO CR systems. In this work, a sub-optimal IA based power loading method is proposed for OFDM/FBMC based MIMO CR systems to approach the optimal approach with fewer complexity. In the proposed algorithm, all secondary users are enabled to share the available spectrum on the base of IA technique without affecting the quality-of-service of the primary system. Furthermore, spectral efficiency comparison between MIMO-OFDM and MIMO-FBMC is presented. Simulation results show that IA based power loading achieves a significant sum-rate increase of CR systems compared to traditional orthogonal multiple access techniques. Additionally, IA based power loading achieves better sum-rate improvement with FBMC than OFDM physical layer.

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基于干扰对准的认知无线电系统中MIMO OFDM/FBMC的功率负荷和频谱效率比较

为了给多用户干扰信道提供最大的自由度，提出了干扰对准(IA)来优化干扰管理。因此，为了提高基于OFDM/FBMC的MIMO CR系统的吞吐量，在认知无线电(CR)系统中使用IA进行资源管理。针对基于OFDM/FBMC的MIMO CR系统，提出了一种基于次最优IA的功率加载方法，以较低的复杂度接近最优方法。该算法在不影响主系统服务质量的前提下，利用IA技术使所有备用用户共享可用频谱。此外，还比较了MIMO-OFDM和MIMO-FBMC的频谱效率。仿真结果表明，与传统的正交多址技术相比，基于IA的功率加载实现了CR系统和速率的显著提高。此外，与OFDM物理层相比，基于IA的功率加载在FBMC中获得了更好的和速率提升。

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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2014 11th International Symposium on Wireless Communications Systems (ISWCS)

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