Efficient System Geolocation Architecture in Next-Generation Cellular Networks

Loading...
Thumbnail Image
Authors
Roth, John D.
Tummala, Murali
McEachen, John C.
Subjects
5G
cellular networks
geolocation
global systems for mobile telecommunications (GSM)
location-based services (LBS)
Long-Term Evolution (LTE)
Advisors
Date of Issue
2018-12
Date
Publisher
IEEE
Language
Abstract
We propose a shift in the cellular positioning system paradigm that enables cellular providers to better meet the location-based services (LBS) needs of cellular users using only existing network infrastructure. Focusing specifically on current 4G and next-generation 5G technology, we outline a novel positioning system architecture, which utilizes the timing advance parameter to generate continuous position estimates with modern accuracy, minimum overhead, and improved latency. We highlight key limitations in existing positioning methods—excessive data overhead in positioning management traffic and poor network infrastructure geometry—through a review of the Third Generation Partnership Project’s positioning system architecture evolution. We then present our alternative architecture, and demonstrate how our proposed system methodology mitigates these concerns, by comparing our proposed architecture with the existing ones. Finally, through numerical study, we establish that our methodology is able to meet and exceed federal emergency services standards and, thus, also many common LBS service requests. Our architecture is agnostic to mobile devices’ capabilities and has the potential to alleviate computational burden at the mobile device while simultaneously improving data throughput and latency through reduction of control overhead
Type
Article
Description
Series/Report No
Department
Electrical and Computer Engineering (ECE)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funding
Format
12 p.
Citation
Roth, John D., Murali Tummala, and John C. McEachen. "Efficient system geolocation architecture in next-generation cellular networks." IEEE Systems Journal (2017).
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Collections