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On the interference suppression capabilities of cognitive enabled femto cellular networks

机译:关于启用认知的毫微微蜂窝网络的干扰抑制能力

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Cognitive Radios are considered as a standard part of future Heterogeneous mobile network architecture. In this paper, we consider a two tier Heterogeneous network with multiple radio access technologies (RATS) namely; (i) the secondary network which comprises of cognitive enabled femto base stations which are referred to as cognitive-femto BS (CFBS) such that each of the BS are equipped with a single antenna and (ii) the macrocell network which is considered as a primary network. The effectiveness of the cognitive transmission is based on the efficient spectrum sensing algorithms which determine the availability of the spectrum holes. However, it is equally important for the cognitive network to minimize the cross-tier interference particularly during (i) the spectrum sensing and (ii) the cognitive transmission if spectrum is available. By exploiting the cooperation among the CFBS, the multiple CFBS can be considered as a single base station with multiple geographically dispersed antennas. In this context, we proposed a smart network where CFBS collaborates to reduce the cross-tier interference level by directing the main beam toward the desired femtocell mobile user and creating null toward the cross-tier interference. The resultant network is referred to as Smart cognitive-femto network (SCFN) which requires the CFBS to be self-aware such that the CFBS are aware of their surroundings and adapt accordingly to maintain a reliable and efficient communication link. In order to determine the effectiveness of the proposed smart network, we study the interference rejection (or suppression) capabilities of the SCFN. It has been shown that the proposed smart network offers significant performance improvements in interference suppression and signal to interference ratio (SIR) and may be considered as a promising solution to the interference management problems in Heterogeneous network.
机译:认知无线电被认为是未来异构移动网络架构的标准部分。在本文中,我们考虑具有多种无线电接入技术(RATS)的两层异构网络; (i)包含认知功能的毫微微基站(称为认知毫微微BS(CFBS))的辅助网络,以使每个BS都配备单个天线;以及(ii)被视为主网络。认知传输的有效性基于有效的频谱感应算法,该算法确定频谱漏洞的可用性。然而,对于认知网络而言,最小化跨层干扰也同样重要,尤其是在(i)频谱感测和(ii)如果频谱可用的认知传输期间。通过利用CFBS之间的协作,可以将多个CFBS视为具有多个地理位置分散的天线的单个基站。在这种情况下,我们提出了一个智能网络,其中CFBS通过将主波束指向所需的毫微微小区移动用户并为零层干扰创建零值来协作以降低零层干扰水平。最终的网络称为智能认知毫微微网络(SCFN),它要求CFBS具有自我意识,以使CFBS了解其周围环境并相应地进行调整,以维持可靠而有效的通信链路。为了确定所提出的智能网络的有效性,我们研究了SCFN的干扰抑制(或抑制)能力。已经表明,提出的智能网络在干扰抑制和信噪比(SIR)方面提供了显着的性能改进,并且可以被认为是解决异构网络中干扰管理问题的有希望的解决方案。

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