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A Test-Bed Evaluation of Cognitive Hybrid Functionality for Future Hyper-Dense Networks

机译:对未来超密网络的认知混合功能的试验床评估

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摘要

This paper proposes a cognitive hybrid function mechanism to intelligently select reliable network and efficiently adjust transmission power while maintaining good quality of service. This combination defines our proposed hybrid functionality. It can be applied to an access point thathas multiple choices of network and transmission power modification. By employing such mechanism in closed-proximity network, we observe performances in terms of optimized speed and throughput of the user device. Results were obtained from several empirical laboratory studies by incorporatingthis mechanism into a hardware in contrast to many studies that just adhered to computer simulations. It was found that selecting reliable network had shown a better optimized speed performance up to 37% improvement as compared without such function. In terms of power adjustment, our evaluationof this mechanism can maintain the same level of throughput at reduced power of about 5 dB than the previous higher transmit power.
机译:本文提出了一种认知混合函数机制,以智能地选择可靠的网络并有效地调整传输功率,同时保持良好的服务质量。这种组合定义了我们提出的混合功能。它可以应用于多个网络和传输电源修改的访问点。通过在闭合网络中采用这种机制,我们在用户设备的优化速度和吞吐量方面观察表演。结果是通过将机制掺入硬件中的若干经验实验室研究中获得,与刚刚遵守计算机模拟的许多研究。发现,选择可靠的网络,在没有此类功能的情况下,选择可靠的网络更好的优化速度性能高达37%的改进。在功率调整方面,我们的评估可以在比先前的更高发射功率约为5 dB的功率下保持相同的吞吐量。

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