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A Novel Mesh Division Scheme using Cognitive Pilot Channel in Cognitive Radio Environment

机译:一种新颖的网划线方案,在认知无线电环境中使用认知导频信道

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In the context of B3G heterogeneous environment, the convergence and cooperation of different wireless network technologies are inevitable. The concept of Cognitive Pilot Channel (CPC), which is one of the candidate transmission solutions for the dynamic spectrum sharing of network information in the Cognitive Radio (CR) environment, is proposed to provide the user equipments (UEs) with the necessary network information for both the switch-on and the on-going phases. Optimal mesh division problem appears based on the basic assumptions in CPC concept that the geographical region is organized in meshes and the coverage of different Radio Access Technologies (RATs) overlaps with each other. In this paper, a novel optimal mesh division scheme is designed, taking into account both the Global Position System (GPS) localization shift scenario and multi-RATs scenario. Both the error probability and the information loss ratio are investigated and their impacts to the optimal mesh division scheme are studied by using the Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA) algorithms. Optimal mesh division scheme is verified by numerous simulation results.
机译:在B3G异构环境的背景下,不同无线网络技术的融合与合作是不可避免的。认知导频信道(CPC)的概念是提出了认知无线电(CR)环境中网络信息的动态频谱共享的候选传输解决方案之一,以提供具有必要网络信息的用户设备(UE)适用于开关和正在进行的阶段。基于CPC概念的基本假设出现最佳网格分割问题,即地理区域以网格组织,以及不同无线电接入技术(RAT)彼此重叠的覆盖范围。在本文中,设计了一种新颖的最佳网格分割方案,考虑到全局位置系统(GPS)定位换档方案和多鼠场景。研究了错误概率和信息丢失比,并通过使用分析层次处理(AHP)和灰色关系分析(GRA)算法来研究它们对最佳网格分割方案的影响。通过多种仿真结果验证了最佳网格分割方案。

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