John D. Roth
Naval Postgraduate School
27 Papers
57 Citations
John D. Roth is an academic researcher from Naval Postgraduate School. The author has contributed to research in topics: Timing advance & Wireless network. The author has an hindex of 6, co-authored 27 publications. Previous affiliations of John D. Roth include United States Naval Academy.
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Papers
Fundamental Implications for Location Accuracy in Ultra-Dense 5G Cellular Networks
TL;DR: It is submitted that precision range based localization is not a generational inevitability but rather achievable only under the correct architectural philosophy, and justification for the PPP is presented as an appropriate model for analyzing positioning performance in ultra dense 5G infrastructures.
27
On Location Privacy in LTE Networks
TL;DR: This paper shows the long term evolution (LTE) signaling plane to be vulnerable to location-based attacks via the timing advance (TA) parameter and adapts the Cramér-Rao lower bound for timing advance-based estimation and shows the associated estimator to be efficient.
23
Efficient System Geolocation Architecture in Next-Generation Cellular Networks
TL;DR: This work outlines a novel positioning system architecture, which utilizes the timing advance parameter to generate continuous position estimates with modern accuracy, minimum overhead, and improved latency, and establishes that the methodology is able to meet and exceed federal emergency services standards and, thus, also many common LBS service requests.
19
Cellular Synchronization Assisted Refinement (CeSAR): A Method for Accurate Geolocation in LTE-A Networks
John D. Roth,Murali Tummala,James Scrofani +2 more
- 05 Jan 2016
TL;DR: This work proposes Cellular Synchronization Assisted Refinement (CeSAR), an entirely passive method of leveraging available LTE-A downlink synchronization messaging to refine uplink timing advance commands issued by the network.
14
Maximum likelihood geolocation in LTE cellular networks using the timing advance parameter
John D. Roth,Murali Tummala,John McEachen,James Scrofani,Robert A. DeGabriele +4 more
- 01 Dec 2016
TL;DR: This work develops the concept of geometric dilution of precision and the Cramer-Rao Lower Bound to motivate an intuition for positioning accuracy and derives an exact maximum likelihood estimator (MLE) for TA-specific position estimation.
14