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Vector resource allocation problems in communication networks
We consider a problem of optimal allocation of a homogeneous resource in spatially distributed systems such as communication networks, where both utilities of users and network expenses must be taken into account. The network is divided into zones which leads to a two-level vector optimization probl...
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| creator | Konnov, Igor Kashina, Olga Laitinen, Erkki |
| description | We consider a problem of optimal allocation of a homogeneous resource in spatially distributed systems such as communication networks, where both utilities of users and network expenses must be taken into account. The network is divided into zones which leads to a two-level vector optimization problem and involves non-differentiable functions whose values are computed algorithmically. We propose several approaches to find a solution. Also, new simple subgradient type methods for non-differentiable Pareto optimization problems are suggested. Their performance is illustrated by computational results on test problems. |
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The network is divided into zones which leads to a two-level vector optimization problem and involves non-differentiable functions whose values are computed algorithmically. We propose several approaches to find a solution. Also, new simple subgradient type methods for non-differentiable Pareto optimization problems are suggested. Their performance is illustrated by computational results on test problems.</description><identifier>EISBN: 9783901882548</identifier><identifier>EISBN: 1612848249</identifier><identifier>EISBN: 9781612848242</identifier><identifier>EISBN: 3901882545</identifier><language>eng</language><publisher>IEEE</publisher><subject>Ad hoc networks ; communication networks ; Conferences ; Mobile communication ; Mobile computing ; multi-objective optimization ; non-differentiable functions ; Optimization ; Resource allocation ; Resource management ; spatial systems ; subgradient methods ; Wireless networks</subject><ispartof>2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2013, p.304-309</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/6576448$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6576448$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Konnov, Igor</creatorcontrib><creatorcontrib>Kashina, Olga</creatorcontrib><creatorcontrib>Laitinen, Erkki</creatorcontrib><title>Vector resource allocation problems in communication networks</title><title>2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt)</title><addtitle>WiOPT</addtitle><description>We consider a problem of optimal allocation of a homogeneous resource in spatially distributed systems such as communication networks, where both utilities of users and network expenses must be taken into account. 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Their performance is illustrated by computational results on test problems.</description><subject>Ad hoc networks</subject><subject>communication networks</subject><subject>Conferences</subject><subject>Mobile communication</subject><subject>Mobile computing</subject><subject>multi-objective optimization</subject><subject>non-differentiable functions</subject><subject>Optimization</subject><subject>Resource allocation</subject><subject>Resource management</subject><subject>spatial systems</subject><subject>subgradient methods</subject><subject>Wireless networks</subject><isbn>9783901882548</isbn><isbn>1612848249</isbn><isbn>9781612848242</isbn><isbn>3901882545</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjTtqAzEUAOXCEGPvCdLoAgvS6l-kCCY_MKRx0hpJ7wmU7K6MtCbk9jHE1RQDMyvSOWOFY9zaQUl7R7rWvhhj3Gmjpd6Qh0-MS6m0YiuXGpH6cSzRL7nM9FxLGHFqNM80lmm6zPlmZlx-Sv1uO7JOfmzY3bglH89Px_1rf3h_eds_HvrMjVp6J4ElLgZurlOrpEggo-YsDDIaq5VTMgUTwGojOHjABKAcYNDgo0tBbMn9fzcj4ulc8-Tr70mra05a8QcKwENX</recordid><startdate>201305</startdate><enddate>201305</enddate><creator>Konnov, Igor</creator><creator>Kashina, Olga</creator><creator>Laitinen, Erkki</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201305</creationdate><title>Vector resource allocation problems in communication networks</title><author>Konnov, Igor ; Kashina, Olga ; Laitinen, Erkki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-94d0f132177648543fd4c610b24c7865954fb7bd86731dadefdd59deb6dac9fb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Ad hoc networks</topic><topic>communication networks</topic><topic>Conferences</topic><topic>Mobile communication</topic><topic>Mobile computing</topic><topic>multi-objective optimization</topic><topic>non-differentiable functions</topic><topic>Optimization</topic><topic>Resource allocation</topic><topic>Resource management</topic><topic>spatial systems</topic><topic>subgradient methods</topic><topic>Wireless networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Konnov, Igor</creatorcontrib><creatorcontrib>Kashina, Olga</creatorcontrib><creatorcontrib>Laitinen, Erkki</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</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>Konnov, Igor</au><au>Kashina, Olga</au><au>Laitinen, Erkki</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Vector resource allocation problems in communication networks</atitle><btitle>2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt)</btitle><stitle>WiOPT</stitle><date>2013-05</date><risdate>2013</risdate><spage>304</spage><epage>309</epage><pages>304-309</pages><eisbn>9783901882548</eisbn><eisbn>1612848249</eisbn><eisbn>9781612848242</eisbn><eisbn>3901882545</eisbn><abstract>We consider a problem of optimal allocation of a homogeneous resource in spatially distributed systems such as communication networks, where both utilities of users and network expenses must be taken into account. The network is divided into zones which leads to a two-level vector optimization problem and involves non-differentiable functions whose values are computed algorithmically. We propose several approaches to find a solution. Also, new simple subgradient type methods for non-differentiable Pareto optimization problems are suggested. Their performance is illustrated by computational results on test problems.</abstract><pub>IEEE</pub><tpages>6</tpages></addata></record> |
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| ispartof | 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2013, p.304-309 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Ad hoc networks communication networks Conferences Mobile communication Mobile computing multi-objective optimization non-differentiable functions Optimization Resource allocation Resource management spatial systems subgradient methods Wireless networks |
| title | Vector resource allocation problems in communication networks |
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