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    Base Station Ordering for Emergency Call Localization in Ultra-dense Cellular Networks

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    08057736.pdf
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    Type
    Article
    Authors
    Elsawy, Hesham cc
    Dai, Wenhan
    Alouini, Mohamed-Slim cc
    Win, Moe Z.
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    KAUST Grant Number
    OSR-2015-Sensors-2700
    Date
    2017-10-04
    Online Publication Date
    2017-10-04
    Print Publication Date
    2018
    Permanent link to this record
    http://hdl.handle.net/10754/625851
    
    Metadata
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    Abstract
    This paper proposes the base station ordering localization technique (BoLT) for emergency call localization in cellular networks. Exploiting the foreseen ultra-densification of the next-generation (5G and beyond) cellular networks, we utilize higher-order Voronoi tessellations to provide ubiquitous localization services that are in compliance to the public safety standards in cellular networks. The proposed localization algorithm runs at the base stations (BSs) and requires minimal operation from agents (i.e., mobile users). Particularly, BoLT requires each agent to feedback a neighbor cell list (NCL) that contains the order of neighboring BSs based on the received signal power in the pilots sent from these BSs. Moreover, this paper utilizes stochastic geometry to develop a tractable mathematical model to assess the performance of BoLT in a general network setting. The goal of this paper is to answer the following two fundamental questions: i) how many BSs should be ordered and reported by the agent to achieve a desirable localization accuracy? and ii) what is the localization error probability given that the pilot signals are subject to shadowing? Assuming that the BSs are deployed according to a Poisson point process (PPP), we answer these two questions via characterizing the tradeoff between the area of location region (ALR) and the localization error probability in terms of the number of BSs ordered by the agent. The results show that reporting the order of six neighboring BSs is sufficient to localize the agent within 10% of the cell area. Increasing the number of reported BSs to ten confines the location region to 1% of the cell area. This would translate to the range of a few meters to decimeters in the foreseen ultra-dense 5G networks.
    Citation
    ElSawy H, Dai W, Alouini M-S, Win MZ (2017) Base Station Ordering for Emergency Call Localization in Ultra-dense Cellular Networks. IEEE Access: 1–1. Available: http://dx.doi.org/10.1109/access.2017.2759260.
    Sponsors
    This research was supported, in part, by U.S. Department of Commerce, National Institute of Standards and Technology, under Grant 70NANB17H177 and by the King Abdullah University of Science and Technology through the Sensor Research Initiative Grant OSR-2015-Sensors-2700.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Access
    DOI
    10.1109/access.2017.2759260
    Additional Links
    http://ieeexplore.ieee.org/document/8057736/
    ae974a485f413a2113503eed53cd6c53
    10.1109/access.2017.2759260
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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