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Cloud-assisted QoE guarantee scheme based on adaptive cross-layer perceptron of artificial neural network for mobile Internet

机译:基于人工神经网络自适应跨层感知器的移动互联网云辅助QoE保证方案

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For improving the system performance of mobile Internet, how to provide the Quality of Experience (QoE) guarantee is an important factor. First, based on artificial neural network and adaptive cross-layer perceptron, we studied the cloud-assisted QoE guarantee mechanism. Then, according to the power, we divided the distance and perceptron layers of mobile Internet and cloud into three levels. We showed the state information definition of the mobile node on the basis of the adaptive adjustment perceptron layers. Thirdly, the perceptron network topology would be updated according to the customer service, which would be updated based on the perceptron learning rule for improving the training practice efficiency. The above scheme would guarantee the QoE effectively. The experimental results show that the proposed QoE guarantee mechanism has obvious advantages in terms of throughput, efficiency, and reliability.
机译:为了提高移动互联网的系统性能,如何提供体验质量(QoE)保证是重要的因素。首先,基于人工神经网络和自适应跨层感知器,研究了云辅助的QoE保证机制。然后,根据功能,我们将移动互联网和云的距离和感知层分为三个层次。我们在自适应调整感知器层的基础上显示了移动节点的状态信息定义。第三,感知器网络拓扑将根据客户服务进行更新,并根据感知器学习规则进行更新,以提高训练实践的效率。上述方案将有效地保证QoE。实验结果表明,提出的QoE保证机制在吞吐量,效率和可靠性方面具有明显的优势。

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