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首页> 外文期刊>IEEE sensors journal >Enabling Multicarrier Relay Selection by Sensing Fusion and Cascaded ANN for Intelligent Vehicular Communications
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Enabling Multicarrier Relay Selection by Sensing Fusion and Cascaded ANN for Intelligent Vehicular Communications

机译：通过传感融合和级联ANN进行智能车辆通信来实现多载波中继选择

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摘要

Cooperative relaying has been adopted as one of the most important techniques to enhance the energy efficiency and coverage. Multi-carrier relay selection is an efficient method to allocate spatial/spectral resources in cooperative relay networks and provides diversity gain. However, the implementation of multi-carrier relay selection is not straightforward, and could render the high system complexity (for centralized implementation schemes) or long processing delay (for distributed implementation schemes). These issues hinder the promotion and implementation of multi-carrier relay selection for intelligent vehicular communications. To mitigate aforementioned issues, we propose an enabling technique of multi-carrier relay selection based on sensing fusion (SF) and cascaded artificial neural networks (CANNs) for intelligent vehicular communications. We employ two well-known multi-carrier relay selection schemes, i.e. bulk and per-subcarrier relay selection, to verify the effectiveness of the CANN based enabling technique. With the powerful processing ability with intelligent vehicles, the numerical results illustrate a promising vision of applying CANNs to enable multi-carrier relay selection for fast deployment in intelligent vehicular communication networks.
机译：合作中继已被采用作为提高能源效率和覆盖范围的最重要技术之一。多载波中继选择是在协作中继网络中分配空间/光谱资源的有效方法，并提供分集增益。然而，多载波中继选择的实现并不简单，并且可以使高系统复杂度（用于集中实施方案）或长处理延迟（用于分布式实现方案）。这些问题阻碍了促进和实施智能车辆通信的多载波继电器选择。为了缓解上述问题，我们提出了一种基于感测融合（SF）和级联人工神经网络（罐头）的多载体继电器选择的能够实现技术，用于智能车辆通信。我们采用了两个众所周知的多载波中继选择方案，即批量和每个子载波中继选择，以验证基于机组的能力技术的有效性。通过具有智能车辆的强大加工能力，数值结果说明了应用磁共管道的有希望的探讨，使得在智能车辆通信网络中能够快速部署的多载波中继选择。

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