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

Handle URI:
http://hdl.handle.net/10754/625851
Title:
Base Station Ordering for Emergency Call Localization in Ultra-dense Cellular Networks
Authors:
Elsawy, Hesham ( 0000-0003-4201-6126 ) ; Dai, Wenhan; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 ) ; Win, Moe Z.
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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Access
KAUST Grant Number:
OSR-2015-Sensors-2700
Issue Date:
4-Oct-2017
DOI:
10.1109/access.2017.2759260
Type:
Article
ISSN:
2169-3536
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.
Additional Links:
http://ieeexplore.ieee.org/document/8057736/
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorElsawy, Heshamen
dc.contributor.authorDai, Wenhanen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.contributor.authorWin, Moe Z.en
dc.date.accessioned2017-10-11T12:03:22Z-
dc.date.available2017-10-11T12:03:22Z-
dc.date.issued2017-10-04en
dc.identifier.citationElSawy 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.en
dc.identifier.issn2169-3536en
dc.identifier.doi10.1109/access.2017.2759260en
dc.identifier.urihttp://hdl.handle.net/10754/625851-
dc.description.abstractThis 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.en
dc.description.sponsorshipThis 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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/8057736/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectStochastic geometryen
dc.subjectlocalizationen
dc.subjecthigh-order Voronoi tessellationen
dc.subjectpublic safetyen
dc.subjectdense cellular networksen
dc.titleBase Station Ordering for Emergency Call Localization in Ultra-dense Cellular Networksen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Accessen
dc.eprint.versionPost-printen
dc.contributor.institutionLaboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Room 32-D666, 77 Massachusetts Avenue, Cambridge, MA 02139 USA.en
kaust.authorElsawy, Heshamen
kaust.authorAlouini, Mohamed-Slimen
kaust.grant.numberOSR-2015-Sensors-2700en
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