Self-organization in wireless networks: A flow-level perspective
This paper introduces self-optimization for wireless networks taking into account flow-level dynamics. Users arrive and leave the network according to a traffic model. Elastic traffic is considered here. The developed solutions self-optimize the network stability region using user feedback (measurem...
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creator | Combes, R. Altman, Z. Altman, E. |
description | This paper introduces self-optimization for wireless networks taking into account flow-level dynamics. Users arrive and leave the network according to a traffic model. Elastic traffic is considered here. The developed solutions self-optimize the network stability region using user feedback (measurements). The use case considered is cell size optimization. An algorithm is given, and its convergence is proven using stochastic approximation techniques. Convergence points are characterized, allowing performance gains to be evaluated rigorously. Performance gains are evaluated numerically, showing an important increase of the network capacity. |
doi_str_mv | 10.1109/INFCOM.2012.6195735 |
format | Conference Proceeding |
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Users arrive and leave the network according to a traffic model. Elastic traffic is considered here. The developed solutions self-optimize the network stability region using user feedback (measurements). The use case considered is cell size optimization. An algorithm is given, and its convergence is proven using stochastic approximation techniques. Convergence points are characterized, allowing performance gains to be evaluated rigorously. Performance gains are evaluated numerically, showing an important increase of the network capacity.</description><subject>Approximation algorithms</subject><subject>Cellular Networks</subject><subject>Heuristic algorithms</subject><subject>Load Balancing</subject><subject>Optimization</subject><subject>Performance gain</subject><subject>Queuing Theory</subject><subject>Self Optimization</subject><subject>Self Organizing Networks</subject><subject>SON</subject><subject>Stability</subject><subject>Stability analysis</subject><subject>Stochastic Approximation</subject><subject>Stochastic processes</subject><subject>Wireless networks</subject><issn>0743-166X</issn><issn>2641-9874</issn><isbn>9781467307734</isbn><isbn>1467307734</isbn><isbn>9781467307758</isbn><isbn>1467307750</isbn><isbn>9781467307741</isbn><isbn>1467307742</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkE1Lw0AYhNcvsNT-gl7yBzbuu9_ryRKsFqo9qOCtbJo3shqTsBta9NcbsBfnModnGIYhZA4sB2DuevW0LDaPOWfAcw1OGaFOyMwZC1IbwYxR9pRMuJZAnTXy7B8T8pxMmJGCgtZvl2SW0gcbZZhgYCfk9hmbmnbx3bfhxw-ha7PQZocQscGUshaHQxc_0022yOqmO9AG99hkPcbU424Ie7wiF7VvEs6OPiWvy7uX4oGuN_erYrGmAYwaqHZ8V9ZaGuRYVTumSmslKOu95wjSVczbqlTlyKxxFVeCayhNXWM55sf9UzL_6w2IuO1j-PLxe3v8Q_wCF6xRCg</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Combes, R.</creator><creator>Altman, Z.</creator><creator>Altman, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201203</creationdate><title>Self-organization in wireless networks: A flow-level perspective</title><author>Combes, R. ; Altman, Z. ; Altman, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-692cbf647e2eddc05b884158aaa2e149d0a8db5bddc879d253261b7ffebedd743</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Approximation algorithms</topic><topic>Cellular Networks</topic><topic>Heuristic algorithms</topic><topic>Load Balancing</topic><topic>Optimization</topic><topic>Performance gain</topic><topic>Queuing Theory</topic><topic>Self Optimization</topic><topic>Self Organizing Networks</topic><topic>SON</topic><topic>Stability</topic><topic>Stability analysis</topic><topic>Stochastic Approximation</topic><topic>Stochastic processes</topic><topic>Wireless networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Combes, R.</creatorcontrib><creatorcontrib>Altman, Z.</creatorcontrib><creatorcontrib>Altman, E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Combes, R.</au><au>Altman, Z.</au><au>Altman, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Self-organization in wireless networks: A flow-level perspective</atitle><btitle>2012 Proceedings IEEE INFOCOM</btitle><stitle>INFCOM</stitle><date>2012-03</date><risdate>2012</risdate><spage>2946</spage><epage>2950</epage><pages>2946-2950</pages><issn>0743-166X</issn><eissn>2641-9874</eissn><isbn>9781467307734</isbn><isbn>1467307734</isbn><eisbn>9781467307758</eisbn><eisbn>1467307750</eisbn><eisbn>9781467307741</eisbn><eisbn>1467307742</eisbn><abstract>This paper introduces self-optimization for wireless networks taking into account flow-level dynamics. Users arrive and leave the network according to a traffic model. Elastic traffic is considered here. The developed solutions self-optimize the network stability region using user feedback (measurements). The use case considered is cell size optimization. An algorithm is given, and its convergence is proven using stochastic approximation techniques. Convergence points are characterized, allowing performance gains to be evaluated rigorously. Performance gains are evaluated numerically, showing an important increase of the network capacity.</abstract><pub>IEEE</pub><doi>10.1109/INFCOM.2012.6195735</doi><tpages>5</tpages></addata></record> |
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subjects | Approximation algorithms Cellular Networks Heuristic algorithms Load Balancing Optimization Performance gain Queuing Theory Self Optimization Self Organizing Networks SON Stability Stability analysis Stochastic Approximation Stochastic processes Wireless networks |
title | Self-organization in wireless networks: A flow-level perspective |
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