论文标题

5G网络中多面板用户设备的移动性分析和性能评估

Analysis and Performance Evaluation of Mobility for Multi-Panel User Equipment in 5G Networks

论文作者

Iqbal, Subhyal Bin, Awada, Ahmad, Karabulut, Umur, Viering, Ingo, Schulz, Philipp, Fettweis, Gerhard P.

论文摘要

频率范围2(FR2)已成为5G网络不可或缺的一部分,以满足对用户数据吞吐量的不断增长的需求。但是,FR2中的无线电信号经历了移动环境中的高路和衍射损失。为了解决此问题,FR2采用了多面板用户设备(MPUE),从而将多个天线面板放在UE主体上,以利用天线方向性的增益。与具有各性辐射模式的传统UE相反,网络中细胞的信号测量可能并非同时在所有面板上用于MPUE,这可能会导致过时的信号测量,从而影响移动性决策的可靠性。在本文中,我们调查了两个不同的MPUE方案的移动性能,遵循不同的范式进行信号测量,并将其与传统UES进行比较。该性能评估基于在FR2中运行的多光束5G网络中,每个单元格有多个有效的光束,以实现高吞吐量的要求。此外,对迁移率性能进行了深入分析,以确定不同MPUE方案的最佳迁移率参数组合。结果表明,与传统UES相比,这两种MPUE方案都具有相当大的机动性性能提高。此外,可以看出,MPUE方案需要不同的移动性参数设置才能获得最佳的移动性能。

Frequency Range 2 (FR2) has become an integral part of 5G networks to fulfill the ever increasing demand for user data throughput. However, radio signals in FR2 experience high path and diffraction loss in mobile environments. To address this issue, multi-panel user equipment (MPUE) is adopted for FR2 whereby multiple antenna panels are placed on the UE body to leverage gains from antenna directivity. In contrast to traditional UEs with isotropic radiation patterns, signal measurements of cells in the network may not be available on all panels simultaneously for MPUE, which may result in outdated signal measurements that affect the reliability of mobility decisions. In this paper, we investigate the mobility performance of two different MPUE schemes following different paradigms for signal measurement and compare their performance with traditional UEs. This performance evaluation is based in multi-beam 5G networks operating in FR2 where there are multiple simultaneously active beams per cell to realize the high throughput requirements. Furthermore, an in-depth analysis of the mobility performance is carried out to determine the best mobility parameter combinations for the different MPUE schemes. Results have shown that both MPUE schemes offer considerable mobility performance gains as compared to traditional UEs. Moreover, it is seen that the MPUE schemes require different mobility parameter settings for the best mobility performance.

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