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On the interference suppression capabilities of cognitive enabled femto cellular networks

机译:关于认知的干扰抑制能力使能毫微微蜂窝网络的能力抑制能力

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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:认知收音机被认为是未来异构移动网络架构的标准部分。在本文中,我们考虑了一个具有多种无线电接入技术(大鼠)的两层异构网络; (i)由具有认知的毫微微基站的次要网络被称为认知 - 毫微微BS(CFB),使得每个BS配备有单个天线和(ii)被认为是宏小区网络主要网络。认知传输的有效性基于高效的频谱感测算法,其确定光谱孔的可用性。然而,对于认知网络来说同样重要的是,特别是在(i)期间最小化交叉层干扰,在(i)频谱感测和(ii)如果可用频谱,则认知传输。通过利用CFB中的合作,多个CFB可以被认为是具有多个地理上分散天线的单个基站。在此上下文中,我们提出了一个智能网络,其中CFB通过将主光束指向所需的毫微微小区移动用户并对交叉层干扰创建空射频来协作以减少交叉层干扰电平。所得到的网络被称为智能认知 - 毫微微网络(SCFN),其要求CFB是自我意识的,使得CFBS知道其周围环境并相应地适应以维持可靠且有效的通信链路。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,所提出的智能网络在干扰抑制和干扰比中提供了显着的性能改善(SIR),并且可以被认为是异构网络中干扰管理问题的有希望的解决方案。

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