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Implementation of platform for long‐term evolution cell perspective resource utilization analysis
ETRI Journal ( IF 1.3 ) Pub Date : 2020-12-22 , DOI: 10.4218/etrij.2019-0475
Jungsun Um 1 , Igor Kim 1 , Seungkeun Park 1
Affiliation  

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%.

中文翻译:

长期演进单元视角资源利用分析平台的实现

随着无线通信在有限频率资源环境中的持续发展,识别频谱利用的状态并预测未来所需的数量变得越来越重要。收集可靠的信息以进行数据分析至关重要。本文介绍了一个无需连接网络就可以收集长期演进(LTE)蜂窝系统的调度信息的平台。典型的LTE终端可以使用从网络传递来的配置参数来确认其分配的资源信息。但是,我们的平台仅通过空中接收和捕获LTE信号,然后可以估算与LTE小区内所有终端的调度相关的数据。在从所有LTE子帧中无损失地提取控制信道信号之后,它使用所提出的算法来检测有效的下行链路控制信息,该算法基于去图案化符号的误差矢量幅度。我们通过将开发的平台与来自手机和服务运营商的真实数据进行比较,来验证开发平台的可靠性。资源块利用率的平均差异仅为0.28%。
更新日期:2020-12-22
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