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Implementation of platform for long‐term evolution cell perspective resource utilization analysis

机译:长期演化细胞透视资源利用分析平台的实施

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As wireless communication continues to develop in limited frequency resource environments, it is becoming important to identify the state of spectrum utilization and predict the amount needed in future. It is essential to collect reliable information for data analysis. This paper introduces a platform that enables the gathering of the scheduling information of a long‐term evolution (LTE) cellular system without connecting to the network. A typical LTE terminal can confirm its assigned resource information using the configuration parameters delivered from a network. However, our platform receives and captures only the LTE signal over the air and then enables the estimation of the data relevant to scheduling for all terminals within an LTE cell. After extracting the control channel signal without loss from all LTE subframes, it detects valid downlink control information using the proposed algorithm, which is based on the error vector magnitude of depatterned symbols. We verify the reliability of the developed platform by comparing it with real data from mobile phones and service operators. The average difference in resource block utilization is only 0.28%.
机译:随着无线通信在有限的频率资源环境中继续发展,识别频谱利用状态并预测将来所需的金额变得重要。必须收集数据分析的可靠信息。本文介绍了一个平台,它能够收集长期演化(LTE)蜂窝系统的调度信息而不连接网络。典型的LTE终端可以使用从网络传递的配置参数确认其分配的资源信息。然而,我们的平台仅在空中接收并捕获LTE信号,然后能够估计与LTE小区内所有终端的调度相关的数据。在没有从所有LTE子帧丢失的情况下提取控制信道信号之后,它使用该算法检测有效的下行链路控制信息,该算法基于所描述的符号的误差矢量幅度。通过将其与来自移动电话和服务运营商的真实数据进行比较,我们验证了开发平台的可靠性。资源块利用率的平均差异仅为0.28%。

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