5G下行网络信噪比- cqi映射

Abitha K. Thyagarajan, Priyeash Balasubramanian, Vydeki D, K. M
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引用次数: 10

摘要

在通信模型中,信噪比(SNR)、信道质量指标(CQI)和调制方式是影响通信质量的重要因素,因此建立这些因素之间的关系至关重要。在这项工作中,推导了SNR-CQI映射关系,观察到它比文献中描述的现有关系产生更高的数据速率。利用提出的新映射和现有映射对5G网络中单个用户设备(UE)的简单下行传输进行了模拟和验证。256QAM调制方案可以提供最大的吞吐量。最后,开发了单个模拟,其中模拟了单个小区内四个终端的下行链路流量。使用比例公平调度算法对ue进行调度。模拟了各种应用需求,如游戏、视频和音频流量。结果表明,所提出的映射方案比现有的映射方案提高了5G下行系统的吞吐量30.75%。
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SNR-CQI Mapping for 5G Downlink Network
In a communication model, the Signal to Noise Ratio (SNR), Channel Quality Indicator (CQI) and modulation schemes are important factors that influence the quality of the communication, and so it is vital to establish the relationship between these factors. In this work, an SNR-CQI mapping relationship was derived, which was observed to yield a greater data rate over existing relationships described in the literature. A simple downlink transmission for a single User Equipment (UE) in a 5G network was simulated and validated using a new mapping proposed as well as existing mappings. The 256QAM modulation scheme was found to give the maximum throughput. Finally, a single simulation was developed, in which the downlink traffic for four UEs within a single cell was simulated. The UEs were scheduled using the Proportional Fair scheduling algorithm. Various application requirements such as gaming, video, and audio traffic were simulated. The result shows that the proposed mapping improves the throughput of the 5G downlink system by 30.75% more than the existing mapping schemes.
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