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Optimal power allocation for energy efficiency maximization in distributed antenna systems
In this paper, we present a power allocation method for a distributed antenna system (DAS) to maximize energy efficiency (EE) which is defined as the ratio of the transmission rate to the total consumed power. Different from conventional EE maximization schemes which require iterative numerical meth...
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creator | Heejin Kim Sang-Rim Lee Changick Song Inkyu Lee |
description | In this paper, we present a power allocation method for a distributed antenna system (DAS) to maximize energy efficiency (EE) which is defined as the ratio of the transmission rate to the total consumed power. Different from conventional EE maximization schemes which require iterative numerical methods, we derive the optimal solution as closed form by solving Karush-Kuhn-Tucker conditions. The obtained closed form expression is applicable to DAS with an arbitrary number of distributed antenna (DA) ports and general per-DA port power constraints, and is also guaranteed to be globally optimum. Through Monte Carlo simulations, we show that the proposed power allocation method produces the optimal average EE identical to exhaustive search with significantly reduced computational complexity. In addition, we demonstrate that DAS is more beneficial in terms of EE compared to conventional antenna systems. |
doi_str_mv | 10.1109/ICC.2013.6655516 |
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Different from conventional EE maximization schemes which require iterative numerical methods, we derive the optimal solution as closed form by solving Karush-Kuhn-Tucker conditions. The obtained closed form expression is applicable to DAS with an arbitrary number of distributed antenna (DA) ports and general per-DA port power constraints, and is also guaranteed to be globally optimum. Through Monte Carlo simulations, we show that the proposed power allocation method produces the optimal average EE identical to exhaustive search with significantly reduced computational complexity. 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Different from conventional EE maximization schemes which require iterative numerical methods, we derive the optimal solution as closed form by solving Karush-Kuhn-Tucker conditions. The obtained closed form expression is applicable to DAS with an arbitrary number of distributed antenna (DA) ports and general per-DA port power constraints, and is also guaranteed to be globally optimum. Through Monte Carlo simulations, we show that the proposed power allocation method produces the optimal average EE identical to exhaustive search with significantly reduced computational complexity. In addition, we demonstrate that DAS is more beneficial in terms of EE compared to conventional antenna systems.</description><subject>Antenna arrays</subject><subject>Closed-form solutions</subject><subject>Optimization</subject><subject>Ports (Computers)</subject><subject>Resource management</subject><subject>Wireless communication</subject><issn>1550-3607</issn><issn>1938-1883</issn><isbn>9781467331227</isbn><isbn>1467331228</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkM1KAzEYRaMoWGr3gpu8wNR8-c9SBn8KhW5046ak6ReJzGTKJKLj01toV_cuLgfOJeQO2BKAuYdV2y45A7HUWikF-oIsnLEgtRECODeXZAZO2AasFVfHrhRrhGbmhixK-WKMgdFaKDkjH5tDTb3v6GH4wZH6rhuCr2nINA4jxYzj50QxxhQS5jDR3v-mPv2dJinTfSp1TLvvinvqc8WcPS1TqdiXW3IdfVdwcc45eX9-emtfm_XmZdU-rpsERtUmWsmC5NZExgJ3WipAZZgL2qNTCGFnhFHOyeA401aYo6Th-x3KqIPmUczJ_YmbEHF7GI8647Q9PyP-AVZUVZI</recordid><startdate>201306</startdate><enddate>201306</enddate><creator>Heejin Kim</creator><creator>Sang-Rim Lee</creator><creator>Changick Song</creator><creator>Inkyu Lee</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201306</creationdate><title>Optimal power allocation for energy efficiency maximization in distributed antenna systems</title><author>Heejin Kim ; Sang-Rim Lee ; Changick Song ; Inkyu Lee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f840c4287f00c296451e5709c6ae95e1cb7375994c920683767372dbe4f6c62f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Antenna arrays</topic><topic>Closed-form solutions</topic><topic>Optimization</topic><topic>Ports (Computers)</topic><topic>Resource management</topic><topic>Wireless communication</topic><toplevel>online_resources</toplevel><creatorcontrib>Heejin Kim</creatorcontrib><creatorcontrib>Sang-Rim Lee</creatorcontrib><creatorcontrib>Changick Song</creatorcontrib><creatorcontrib>Inkyu Lee</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>Heejin Kim</au><au>Sang-Rim Lee</au><au>Changick Song</au><au>Inkyu Lee</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimal power allocation for energy efficiency maximization in distributed antenna systems</atitle><btitle>2013 IEEE International Conference on Communications (ICC)</btitle><stitle>ICC</stitle><date>2013-06</date><risdate>2013</risdate><spage>5769</spage><epage>5773</epage><pages>5769-5773</pages><issn>1550-3607</issn><eissn>1938-1883</eissn><eisbn>9781467331227</eisbn><eisbn>1467331228</eisbn><abstract>In this paper, we present a power allocation method for a distributed antenna system (DAS) to maximize energy efficiency (EE) which is defined as the ratio of the transmission rate to the total consumed power. Different from conventional EE maximization schemes which require iterative numerical methods, we derive the optimal solution as closed form by solving Karush-Kuhn-Tucker conditions. The obtained closed form expression is applicable to DAS with an arbitrary number of distributed antenna (DA) ports and general per-DA port power constraints, and is also guaranteed to be globally optimum. Through Monte Carlo simulations, we show that the proposed power allocation method produces the optimal average EE identical to exhaustive search with significantly reduced computational complexity. In addition, we demonstrate that DAS is more beneficial in terms of EE compared to conventional antenna systems.</abstract><pub>IEEE</pub><doi>10.1109/ICC.2013.6655516</doi><tpages>5</tpages></addata></record> |
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subjects | Antenna arrays Closed-form solutions Optimization Ports (Computers) Resource management Wireless communication |
title | Optimal power allocation for energy efficiency maximization in distributed antenna systems |
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