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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Cooperative Device-to-Device Discovery Model for Multiuser and OFDMA Network Base Neighbour Discovery in In-Band 5G Cellular Networks
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Cooperative Device-to-Device Discovery Model for Multiuser and OFDMA Network Base Neighbour Discovery in In-Band 5G Cellular Networks

机译:用于多用户和OFDMA网络基邻邻居发现的协作设备到设备发现模型在频带5G蜂窝网络中

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摘要

Device-to-device (D2D) communication in cellular networks is one of the emerging technologies for 5G communications. Initiating D2D communication device discovery is a vital research problem due to energy consumption, the need for fast discovery in dense areas and discovery in poor coverage areas. Many approaches are suggested for device discovery like Bio-inspired and Firefly proximity base discovery. Ellipsoid device discovery model is proposed for multi users and orthogonal frequency division multiple access (OFDMA) network, in which radio resources are divided into time slots and frequency divisions. In large device density areas, devices establish a local area network that can be a centralised or a distributed local area network. In this proposed model, devices which are located in poor coverage area can be discovered easily. An iterative algorithm with linear pre-processing is applied to find the position of devices that gives the ellipsoid solution of the device position. The probability of false alarm and probability of misdetection verify the proposed solution. Results show an enhancement in the system capacity, rate of detection and maximum distance discovery in comparison with the firefly proximity algorithm.
机译:蜂窝网络中的设备到设备(D2D)通信是5G通信的新兴技术之一。启动D2D通信设备发现是由于能耗导致的重要研究问题,需要快速发现密集区域和覆盖区域的发现。建议为生物启发和萤火虫接近基地发现等设备发现建议许多方法。椭球设备发现模型提出用于多用户和正交频分多址(OFDMA)网络,其中无线电资源被分成时隙和频率。在大设备密度区域中,设备建立一个可以是集中式或分布式局域网的局域网。在该提出的模型中,可以容易地发现位于覆盖区域差的设备中。应用具有线性预处理的迭代算法来查找给设备位置的椭球溶液的设备的位置。误报和误报概率的概率验证了所提出的解决方案。结果表明,与萤火虫接近算法相比,系统容量,检测速率和最大距离发现的增强。

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