System Performance of Interference Alignment in MIMO Cognitive Radio Networks Under Interference Leakage

Hakan Alakoca, Seda Ustunbas, Mustafa Namdar, Arif Basgumus, Eylem Erdogan, L. Durak-Ata
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引用次数: 1

Abstract

In this work, we examine the interference alignment performance of a multi-input multi-output (MIMO) cognitive radio (CR) network in the presence of multiple secondary users. In the proposed architecture, it is assumed that linear interference alignment (IA) is used at the primary system to alleviate the interference between primary and secondary networks. Although, linear IA can surpass the interference in CR considerably, interference leakages may occur due to fast fading channel. Herein, we derive the closed form outage probability expression considering the interference leakage occurred in the primary system. The results which are validated with Monte-Carlo simulations show that interference leakages can deteriorate both system performance and diversity gains considerably.
干扰泄漏条件下MIMO认知无线网络干扰对准系统性能研究
在这项工作中,我们研究了多输入多输出(MIMO)认知无线电(CR)网络在多个辅助用户存在下的干扰对准性能。在所提出的体系结构中,假设在主系统中使用线性干扰对准(IA)来减轻主从网络之间的干扰。虽然线性IA可以大大超过CR中的干扰,但由于信道的快速衰落,可能会发生干扰泄漏。在此基础上,导出了考虑一次系统发生的干扰泄漏的闭式停电概率表达式。通过蒙特卡罗仿真验证了干扰泄漏对系统性能和分集增益的影响。
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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