Investigating the Impact of Variables on Handover Performance in 5G Ultra-Dense Networks

Donglin Wang, A. Qiu, Qiuheng Zhou, S. Partani, H. Schotten
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Abstract

The advent of 5G New Radio (NR) technology has revolutionized the landscape of wireless communication, offering various enhancements such as elevated system capacity, improved spectrum efficiency, and higher data transmission rates. To achieve these benefits, 5G has implemented the Ultra-Dense Network (UDN) architecture, characterized by the deployment of numerous small general Node B (gNB) units. While this approach boosts system capacity and frequency reuse, it also raises concerns such as increased signal interference, longer handover times, and higher handover failure rates. To address these challenges, the critical factor of Time to Trigger (TTT) in handover management must be accurately determined. Furthermore, the density of gNBs has a significant impact on handover performance. This study provides a comprehensive analysis of 5G handover management. Through the development and utilization of a downlink system-level simulator, the effects of various TTT values and gNB densities on 5G handover were evaluated, taking into consideration the movement of Traffic Users (TUs) with varying velocities. Simulation results showed that the handover performance can be optimized by adjusting the TTT under different gNB densities, providing valuable insights into the proper selection of TTT, UDN, and TU velocity to enhance 5G handover performance.
研究变量对5G超密集网络切换性能的影响
5G新无线电(NR)技术的出现彻底改变了无线通信的格局,提供了各种增强功能,如提高系统容量、提高频谱效率和更高的数据传输速率。为了实现这些优势,5G实施了超密集网络(UDN)架构,其特点是部署了许多小型通用节点B (gNB)单元。虽然这种方法提高了系统容量和频率重用,但它也引起了诸如增加信号干扰、更长的切换时间和更高的切换故障率等问题。为了应对这些挑战,必须准确确定交接管理中的关键因素触发时间(TTT)。此外,gnb的密度对切换性能有显著影响。本研究对5G的交接管理进行了全面的分析。通过开发和利用下行链路系统级模拟器,在考虑流量用户(tu)以不同速度移动的情况下,评估不同TTT值和gNB密度对5G切换的影响。仿真结果表明,在不同gNB密度下,可以通过调整TTT来优化切换性能,为合理选择TTT、UDN和TU速度以增强5G切换性能提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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