Efficient Location Prediction in Mobile Cellular Networks

Anagnostopoulos, Theodoros; Anagnostopoulos, Christos; Hadjiefthymiades, Stathes

doi:10.1007/s10776-011-0166-9

Cited by 31 publications

(17 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Prior work on mobile phone location has relied upon precise and dense Global Positioning System (GPS), wireless network, and cell tower measurements, using them to predict personal locations and movement patterns between those locations (33)(34)(35). In comparison, we show that home locations can often be predicted using imprecise and sparse telephone metadata.…”

Section: Resultsmentioning

confidence: 92%

Evaluating the privacy properties of telephone metadata

Mayer

Mutchler

Mitchell

2016

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Since 2013, a stream of disclosures has prompted reconsideration of surveillance law and policy. One of the most controversial principles, both in the United States and abroad, is that communications metadata receives substantially less protection than communications content. Several nations currently collect telephone metadata in bulk, including on their own citizens. In this paper, we attempt to shed light on the privacy properties of telephone metadata. Using a crowdsourcing methodology, we demonstrate that telephone metadata is densely interconnected, can trivially be reidentified, and can be used to draw sensitive inferences.C ommunications privacy law, in the United States and many other nations, draws a distinction between "content" and "metadata" (1). The former category reflects the substance of an electronic communication; the latter includes all other information about the communication, such as parties, time, and duration (2).* When a government agency compels disclosure of content, the agency must usually comply with extensive substantive and procedural safeguards. Demands for metadata, by contrast, are often left to the near-total discretion of authorities. In the United States, for instance, a law enforcement officer can request telephone calling records with merely a subpoena-essentially a formal letter from the investigating agency (3). An intelligence program by the National Security Agency (NSA) has drawn particular criticism; under the business records provision of the USA PATRIOT Act (4), the agency acquired a substantial share of all domestic telephone metadata (5). † In this paper, we empirically investigate factual assumptions that undergird policies of differential treatment for content and metadata. Using crowdsourced telephone logs and social networking information, we find that telephone metadata is densely interconnected, susceptible to reidentification, and enables highly sensitive inferences. ‡ The balance of the paper is organized into three parts. First, we discuss our data collection methodology and properties of our participant population. We next present our results. Finally, we discuss implications for policy and future quantitative social science research. Additional methodological detail and figures are available in the Supporting Information. MethodsWe collected the data in this study through an Android smartphone application ( Fig. 1). § Potential participants could discover the project through academic websites, the Google Play store, and references in media coverage. The application automatically retrieved historical call and text message [Short Message Service (SMS)] metadata from device logs. { In addition, the application retrieved information from a participant's Facebook account, to be used as ground truth for potential inferences. # Participants were provided an opportunity to view individualized features of their phone metadata, and then they were invited to uninstall the application. In total, 823 participants volunteered their metadata, which included 251,7...

show abstract

Section: Resultsmentioning

confidence: 92%

Evaluating the privacy properties of telephone metadata

Mayer

Mutchler

Mitchell

2016

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

show abstract

“…A destination and mobility path prediction model called DAMP is proposed in [30], while a handoff time window estimation method and mobility-predictionaware bandwidth (MPBR) allocation scheme is presented in [31]. In [32], different methods for predicting the future location of a UE based on prior knowledge of the UE's mobility are studied. A method for tracing UE's location using semi-supervised graph Laplacian approach is proposed in [33].…”

Section: Review Of Prior Workmentioning

confidence: 99%

Handover Count Based Velocity Estimation and Mobility State Detection in Dense HetNets

Merwaday

Güvenç

2016

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

In wireless cellular networks with densely deployed base stations, knowing the velocities of mobile devices is a key to avoid call drops and improve the quality of service to the user equipments (UEs). A simple and efficient way to estimate a UE's velocity is by counting the number of handovers made by the UE during a predefined time window. Indeed, handover-count based mobility state detection has been standardized since Long Term Evolution (LTE) Release-8 specifications. The increasing density of small cells in wireless networks can help in accurate estimation of velocity and mobility state of a UE. In this paper, we model densely deployed small cells using stochastic geometry, and then analyze the statistics of the number of handovers as a function of UE velocity, small-cell density, and handover count measurement time window. Using these statistics, we derive approximations to the Cramer-Rao lower bound (CRLB) for the velocity estimate of a UE. Also, we determine a minimum variance unbiased (MVU) velocity estimator whose variance tightly matches with the CRLB. Using this velocity estimator, we formulate the problem of detecting the mobility state of a UE as low, medium, or high-mobility, as in LTE specifications. Subsequently, we derive the probability of correctly detecting the mobility state of a UE. Finally, we evaluate the accuracy of the velocity estimator under more realistic scenarios such as clustered deployment of small cells, random way point (RWP) mobility model for UEs, and variable UE velocity. Our analysis shows that the accuracy of velocity estimation and mobility state detection increases with increasing small cell density and with increasing handover count measurement time window.keywords: Cramer-Rao lower bound (CRLB), heterogeneous networks (HetNets), long term evolution (LTE), mobility state estimation, mobile velocity estimation, phantom cell, small cells.

show abstract

“…trains and planes, it is pivotal to consider both the movements of the vehicles and the satellites. The terminals with greater speed are ignored in this paper and for the interested readers, please refer to [10] [11] and [12] for more detailed information.…”

Section: Related Workmentioning

confidence: 99%

A simple real-time handover management in the mobile satellite communication networks

Seyedi

et al. 2015

2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS)

View full text Add to dashboard Cite

Low earth orbit (LEO) satellite networks are capable of providing global or regional mobile services for a large number of users. Since the user's service duration may be greater than the coverage time of a LEO satellite, the user may be handed over to another visible satellite to prevent interruption of the ongoing communication. On the other hand, a mobile user may be covered by more than one satellite at the instant of connection handover. When the user is about to be handed over to another satellite, the serving satellite minimizing the number of handovers would in general be the one that provides the largest service time which is not necessarily equal to the coverage time of the very satellite. In this paper, we propose a new handover algorithm which exploits both the Global Positioning System (GPS) infrastructure and satellite diversity to provide a simple and real-time handover management in LEO satellite networks. The proposed algorithm not only minimizes the expected number of satellite handover, but is also efficient and easy to be implemented in hand-held devices, thus facilitating the mobile users' access to the satellite networks. Numerical simulations performed for two typical mobile satellite networks, viz. Iridium and Globalstar, corroborate the advantages gained by the proposed algorithm.

show abstract

Efficient Location Prediction in Mobile Cellular Networks

Cited by 31 publications

References 31 publications

Evaluating the privacy properties of telephone metadata

Evaluating the privacy properties of telephone metadata

Handover Count Based Velocity Estimation and Mobility State Detection in Dense HetNets

A simple real-time handover management in the mobile satellite communication networks

Contact Info

Product

Resources

About