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Hybrid location determination techniques in heterogeneous network

机译:异构网络中的混合位置确定技术

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Heterogeneous networks are developed to allow communication devices to access the wireless network using different access technologies. In heterogeneous networks, group of networks can be used to provide particular services. Every service can be delivered to the user using the optimum network for that service. Mobile positioning is an important service that can be offered by heterogeneous networks by using the resources of the cellular system to determine the location of a mobile station. However, the accuracy of the localization is subjected to the Location Determination Techniques (LDT) adopted such as Time-of-Arrival (TOA), Time Difference-of-Arrival (TDOA) and Enhanced Observed-Time-Difference (E-OTD), and signal hearability. This work analyzes appropriate LDT and proposing a hybrid algorithm under low hearability condition for heterogeneous network. Two simulations have been implemented for these purposes, the first one is single layer cellular network system which is used to evaluate and compare various LDT techniques under different mobility models. The second simulation has been implemented to evaluate the proposed hybrid algorithm and compare it with several LDT techniques considering the accuracy of location measurements. The results show that the LDT error for hybrid technique is better as compare to TDOA and E-OTD at 67% and 95% of the cumulative density functions (CDF).
机译:开发异构网络以允许通信设备使用不同的接入技术来接入无线网络。在异构网络中,网络组可用于提供特定服务。可以使用针对每种服务的最佳网络将每种服务交付给用户。移动定位是一项重要的服务,可以通过使用蜂窝系统的资源来确定移动台的位置,由异构网络提供。但是,定位的精确度受采用的位置确定技术(LDT)的影响,例如到达时间(TOA),到达时间差(TDOA)和增强型观测时差(E-OTD)以及信号的可听性。这项工作分析了适当的LDT,并针对异构网络在低可听性条件下提出了一种混合算法。为了这些目的已经实现了两个仿真,第一个是单层蜂窝网络系统,用于评估和比较不同移动性模型下的各种LDT技术。考虑到位置测量的准确性,已经进行了第二次仿真,以评估提出的混合算法并将其与几种LDT技术进行比较。结果表明,在67%和95%的累积密度函数(CDF)下,与TDOA和E-OTD相比,混合技术的LDT误差更好。

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