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

TL;DR

This paper evaluates the mobility performance of multi-panel user equipment in 5G FR2 networks, demonstrating significant gains over traditional UEs and analyzing optimal parameter configurations for different MPUE schemes.

Contribution

It introduces and compares two MPUE schemes in 5G FR2, highlighting their mobility benefits and optimal parameter settings for enhanced network performance.

Findings

MPUE schemes outperform traditional UEs in mobility performance

Different MPUE schemes require distinct parameter configurations

Significant mobility gains achieved with MPUE in multi-beam 5G networks

Abstract

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measurements of cells in the network may not be available on all panels simultaneously for MPUE, which may result in outdated signal measurements that affect the reliability of mobility decisions.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.