Paper Info
Title
Simulation And Analysis Of Device Positioning In 5g Ultra-Dense Network
Abstract
Device positioning has generally been recognized as an important service of LTE Advanced pro and the upcoming fifth generation (5G) mobile communication. The Observed Time Difference of Arrival (OTDoA) technique that utilizes cellular signals for positioning is considered as a promising candidate technology capable of meeting users' growing demands for high-precision and ubiquitous device positioning. The application of ultra-dense network (UDN) in 5G systems brings new opportunities and challenges to device positioning. However, existing researches mainly focus on the communication characteristics of UDN, while its positioning characteristics have not been analyzed thoroughly. In this study, a software simulation platform of OTDoA positioning in 5G UDN is first established based on the current 5G standards. Then, the performance of OTDoA technique in UDN and its influencing factors are comprehensively analyzed by heat map method over our simulation platform. The simulation results demonstrate that in 5G UDN, the unsatisfactory geometric distribution quality of base stations used for positioning and the non-line-of-sight (NLoS) propagation of cellular signals are the main factors that cause the performance degradation of OTDoA positioning. Moreover, based on the above analysis, we also provide some meaningful guidance for the development or improvement of OTDoA positioning technique used in 5G UDN.
Year
DOI
Venue
2019
10.1109/IWCMC.2019.8766743
2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC)
Keywords
Field
DocType
5G new radio (NR), LTE Advanced pro, 5G positioning, ultra-dense network (UDN)
Software simulation,Non-line-of-sight propagation,Base station,Computer science,Real-time computing,Multilateration,Ultra dense network,OTDOA,Mobile telephony,Distributed computing,LTE Advanced
Conference
ISSN
Citations 
PageRank 
2376-6492
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Qirui Liu100.68
Rongke Liu212735.79
Zijie Wang3283.68
Yifan Zhang411331.88