Loading…
Impact of realistic indoor mobility modelling in the context of propagation modelling on the user and network experience
Algorithms that depend on the simulation of individual users (e.g. SON handover optimisation) need a microscopic user mobility that fits to the chosen prediction model. Any improvement in the accuracy of pathloss predictions (e.g. from Extended Hata to ray-optical predictions with outdoor-to-indoor...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 3983 |
container_issue | |
container_start_page | 3979 |
container_title | |
container_volume | |
creator | Rose, D. M. Jansen, T. Hahn, S. Kurner, T. |
description | Algorithms that depend on the simulation of individual users (e.g. SON handover optimisation) need a microscopic user mobility that fits to the chosen prediction model. Any improvement in the accuracy of pathloss predictions (e.g. from Extended Hata to ray-optical predictions with outdoor-to-indoor mapping), either in terms of spatial resolution or in terms of the underlying propagation model, needs an improvement in the mobility model as well (Random Walk to Indoor Mobility). Therefore, a new sophisticated three dimensional indoor mobility model based on real building data is proposed in this paper. Furthermore, investigations on the degree of modelling and its impact on user and network simulations are shown. |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6547059</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6547059</ieee_id><sourcerecordid>6547059</sourcerecordid><originalsourceid>FETCH-LOGICAL-i105t-1e2e69d0b4770789c44cb8aeff2d83d96d08cff9bfb7ef73c812eb75b3b445f13</originalsourceid><addsrcrecordid>eNpNjMtKAzEYhSMiaGufwE1eoJBMMvMnSyleCgU3ui65_KnRmWTIRJy-vcW6cHU-ON85F2ShlGbAuBLqkiy47EA0XAFck9U0fTDGOGddw-GGzNthNK7SHGhB08epRkdj8jkXOmQb-1iPJ_DY9zEdTg2t70hdThXn39VY8mgOpsac_nn57H1NWKhJnias37l8UpxHLBGTw1tyFUw_4eovl-Tt8eF187zevTxtN_e7deSsrWuODXbaMysBGCjtpHRWGQyh8Up43XmmXAjaBgsYQDjFG7TQWmGlbAMXS3J3_o2IuB9LHEw57rtWAmu1-AGcM1qx</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Impact of realistic indoor mobility modelling in the context of propagation modelling on the user and network experience</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Rose, D. M. ; Jansen, T. ; Hahn, S. ; Kurner, T.</creator><creatorcontrib>Rose, D. M. ; Jansen, T. ; Hahn, S. ; Kurner, T.</creatorcontrib><description>Algorithms that depend on the simulation of individual users (e.g. SON handover optimisation) need a microscopic user mobility that fits to the chosen prediction model. Any improvement in the accuracy of pathloss predictions (e.g. from Extended Hata to ray-optical predictions with outdoor-to-indoor mapping), either in terms of spatial resolution or in terms of the underlying propagation model, needs an improvement in the mobility model as well (Random Walk to Indoor Mobility). Therefore, a new sophisticated three dimensional indoor mobility model based on real building data is proposed in this paper. Furthermore, investigations on the degree of modelling and its impact on user and network simulations are shown.</description><identifier>ISBN: 1467321877</identifier><identifier>ISBN: 9781467321877</identifier><identifier>EISBN: 8890701838</identifier><identifier>EISBN: 8890701811</identifier><identifier>EISBN: 9788890701818</identifier><identifier>EISBN: 9788890701832</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analytical models ; Handover ; indoor mobility ; Microscopy ; Optimization ; propagation modelling ; realistic scenario ; Single photon emission computed tomography ; SON ; system-level simulation</subject><ispartof>2013 7th European Conference on Antennas and Propagation (EuCAP), 2013, p.3979-3983</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6547059$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6547059$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rose, D. M.</creatorcontrib><creatorcontrib>Jansen, T.</creatorcontrib><creatorcontrib>Hahn, S.</creatorcontrib><creatorcontrib>Kurner, T.</creatorcontrib><title>Impact of realistic indoor mobility modelling in the context of propagation modelling on the user and network experience</title><title>2013 7th European Conference on Antennas and Propagation (EuCAP)</title><addtitle>EuCAP</addtitle><description>Algorithms that depend on the simulation of individual users (e.g. SON handover optimisation) need a microscopic user mobility that fits to the chosen prediction model. Any improvement in the accuracy of pathloss predictions (e.g. from Extended Hata to ray-optical predictions with outdoor-to-indoor mapping), either in terms of spatial resolution or in terms of the underlying propagation model, needs an improvement in the mobility model as well (Random Walk to Indoor Mobility). Therefore, a new sophisticated three dimensional indoor mobility model based on real building data is proposed in this paper. Furthermore, investigations on the degree of modelling and its impact on user and network simulations are shown.</description><subject>Analytical models</subject><subject>Handover</subject><subject>indoor mobility</subject><subject>Microscopy</subject><subject>Optimization</subject><subject>propagation modelling</subject><subject>realistic scenario</subject><subject>Single photon emission computed tomography</subject><subject>SON</subject><subject>system-level simulation</subject><isbn>1467321877</isbn><isbn>9781467321877</isbn><isbn>8890701838</isbn><isbn>8890701811</isbn><isbn>9788890701818</isbn><isbn>9788890701832</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpNjMtKAzEYhSMiaGufwE1eoJBMMvMnSyleCgU3ui65_KnRmWTIRJy-vcW6cHU-ON85F2ShlGbAuBLqkiy47EA0XAFck9U0fTDGOGddw-GGzNthNK7SHGhB08epRkdj8jkXOmQb-1iPJ_DY9zEdTg2t70hdThXn39VY8mgOpsac_nn57H1NWKhJnias37l8UpxHLBGTw1tyFUw_4eovl-Tt8eF187zevTxtN_e7deSsrWuODXbaMysBGCjtpHRWGQyh8Up43XmmXAjaBgsYQDjFG7TQWmGlbAMXS3J3_o2IuB9LHEw57rtWAmu1-AGcM1qx</recordid><startdate>201304</startdate><enddate>201304</enddate><creator>Rose, D. M.</creator><creator>Jansen, T.</creator><creator>Hahn, S.</creator><creator>Kurner, T.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201304</creationdate><title>Impact of realistic indoor mobility modelling in the context of propagation modelling on the user and network experience</title><author>Rose, D. M. ; Jansen, T. ; Hahn, S. ; Kurner, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-1e2e69d0b4770789c44cb8aeff2d83d96d08cff9bfb7ef73c812eb75b3b445f13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Analytical models</topic><topic>Handover</topic><topic>indoor mobility</topic><topic>Microscopy</topic><topic>Optimization</topic><topic>propagation modelling</topic><topic>realistic scenario</topic><topic>Single photon emission computed tomography</topic><topic>SON</topic><topic>system-level simulation</topic><toplevel>online_resources</toplevel><creatorcontrib>Rose, D. M.</creatorcontrib><creatorcontrib>Jansen, T.</creatorcontrib><creatorcontrib>Hahn, S.</creatorcontrib><creatorcontrib>Kurner, T.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rose, D. M.</au><au>Jansen, T.</au><au>Hahn, S.</au><au>Kurner, T.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Impact of realistic indoor mobility modelling in the context of propagation modelling on the user and network experience</atitle><btitle>2013 7th European Conference on Antennas and Propagation (EuCAP)</btitle><stitle>EuCAP</stitle><date>2013-04</date><risdate>2013</risdate><spage>3979</spage><epage>3983</epage><pages>3979-3983</pages><isbn>1467321877</isbn><isbn>9781467321877</isbn><eisbn>8890701838</eisbn><eisbn>8890701811</eisbn><eisbn>9788890701818</eisbn><eisbn>9788890701832</eisbn><abstract>Algorithms that depend on the simulation of individual users (e.g. SON handover optimisation) need a microscopic user mobility that fits to the chosen prediction model. Any improvement in the accuracy of pathloss predictions (e.g. from Extended Hata to ray-optical predictions with outdoor-to-indoor mapping), either in terms of spatial resolution or in terms of the underlying propagation model, needs an improvement in the mobility model as well (Random Walk to Indoor Mobility). Therefore, a new sophisticated three dimensional indoor mobility model based on real building data is proposed in this paper. Furthermore, investigations on the degree of modelling and its impact on user and network simulations are shown.</abstract><pub>IEEE</pub><tpages>5</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 1467321877 |
ispartof | 2013 7th European Conference on Antennas and Propagation (EuCAP), 2013, p.3979-3983 |
issn | |
language | eng |
recordid | cdi_ieee_primary_6547059 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Analytical models Handover indoor mobility Microscopy Optimization propagation modelling realistic scenario Single photon emission computed tomography SON system-level simulation |
title | Impact of realistic indoor mobility modelling in the context of propagation modelling on the user and network experience |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T01%3A19%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Impact%20of%20realistic%20indoor%20mobility%20modelling%20in%20the%20context%20of%20propagation%20modelling%20on%20the%20user%20and%20network%20experience&rft.btitle=2013%207th%20European%20Conference%20on%20Antennas%20and%20Propagation%20(EuCAP)&rft.au=Rose,%20D.%20M.&rft.date=2013-04&rft.spage=3979&rft.epage=3983&rft.pages=3979-3983&rft.isbn=1467321877&rft.isbn_list=9781467321877&rft_id=info:doi/&rft.eisbn=8890701838&rft.eisbn_list=8890701811&rft.eisbn_list=9788890701818&rft.eisbn_list=9788890701832&rft_dat=%3Cieee_6IE%3E6547059%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i105t-1e2e69d0b4770789c44cb8aeff2d83d96d08cff9bfb7ef73c812eb75b3b445f13%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6547059&rfr_iscdi=true |