User clustering and energy efficient cooperation in cellular networks
We consider user clustering and cooperative transmission in cellular networks. Several physically close users form a cluster to share a single channel for external communication with the base station. The internal information exchange among clustered users is provided by short range device-to-device...
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creator | Jinhong Wu Chen, H. Z. B. Yong Liu Liyu Cai |
description | We consider user clustering and cooperative transmission in cellular networks. Several physically close users form a cluster to share a single channel for external communication with the base station. The internal information exchange among clustered users is provided by short range device-to-device communication that reuses cellular channels being used by remote clusters. A channel allocation scheme with frequency reuse within the cell is designed to minimize maximum intra-cell interference. We analyze feasible distance for cluster forming and maximum signal to interference and noise ratio due to frequency reuse in such an environment. Our analysis and simulations demonstrate the feasibility of and benefits from the proposed scheme. |
doi_str_mv | 10.1109/ACSSC.2011.6190299 |
format | Conference Proceeding |
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Z. B. ; Yong Liu ; Liyu Cai</creator><creatorcontrib>Jinhong Wu ; Chen, H. Z. B. ; Yong Liu ; Liyu Cai</creatorcontrib><description>We consider user clustering and cooperative transmission in cellular networks. Several physically close users form a cluster to share a single channel for external communication with the base station. The internal information exchange among clustered users is provided by short range device-to-device communication that reuses cellular channels being used by remote clusters. A channel allocation scheme with frequency reuse within the cell is designed to minimize maximum intra-cell interference. We analyze feasible distance for cluster forming and maximum signal to interference and noise ratio due to frequency reuse in such an environment. Our analysis and simulations demonstrate the feasibility of and benefits from the proposed scheme.</description><identifier>ISSN: 1058-6393</identifier><identifier>ISBN: 9781467303217</identifier><identifier>ISBN: 1467303216</identifier><identifier>EISSN: 2576-2303</identifier><identifier>EISBN: 9781467303224</identifier><identifier>EISBN: 1467303232</identifier><identifier>EISBN: 9781467303231</identifier><identifier>EISBN: 1467303224</identifier><identifier>DOI: 10.1109/ACSSC.2011.6190299</identifier><language>eng</language><publisher>IEEE</publisher><subject>Channel allocation ; device-to-device communication ; Distributed databases ; Downlink ; Interchannel interference ; Multiplexing ; Signal to noise ratio ; user clustering</subject><ispartof>2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011, p.1650-1654</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/6190299$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6190299$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jinhong Wu</creatorcontrib><creatorcontrib>Chen, H. 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Our analysis and simulations demonstrate the feasibility of and benefits from the proposed scheme.</description><subject>Channel allocation</subject><subject>device-to-device communication</subject><subject>Distributed databases</subject><subject>Downlink</subject><subject>Interchannel interference</subject><subject>Multiplexing</subject><subject>Signal to noise ratio</subject><subject>user clustering</subject><issn>1058-6393</issn><issn>2576-2303</issn><isbn>9781467303217</isbn><isbn>1467303216</isbn><isbn>9781467303224</isbn><isbn>1467303232</isbn><isbn>9781467303231</isbn><isbn>1467303224</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtqwzAURNUX1KT-gXajH3Cqq7eWwaRpIdBFmnWQ5eug1pWD7FDy9w00m85mOAycxRDyCGwOwNzzot5s6jlnAHMNjnHnrkjpjAWpjWCCc3lNCq6MrvgZb_5tYG5JAUzZSgsn7kk5jp_sHMOE1aYgy-2ImYb-OE6YY9pTn1qKCfP-RLHrYoiYJhqG4YDZT3FINCYasO-Pvc804fQz5K_xgdx1vh-xvPSMbF-WH_VrtX5fvdWLdRXBqKnSUrEmoACLrWsVig6VVI0Xre1kyyRyNBoQZBNsKxrBlOGi0dZLb6AJIGbk6c8bEXF3yPHb59Pucor4BV9bUdM</recordid><startdate>201111</startdate><enddate>201111</enddate><creator>Jinhong Wu</creator><creator>Chen, H. Z. B.</creator><creator>Yong Liu</creator><creator>Liyu Cai</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201111</creationdate><title>User clustering and energy efficient cooperation in cellular networks</title><author>Jinhong Wu ; Chen, H. Z. B. ; Yong Liu ; Liyu Cai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-6450bce318ed9d5e3fe545ba3d8f4d04e2e761e14bc8d3b305723b68a4a71bc13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Channel allocation</topic><topic>device-to-device communication</topic><topic>Distributed databases</topic><topic>Downlink</topic><topic>Interchannel interference</topic><topic>Multiplexing</topic><topic>Signal to noise ratio</topic><topic>user clustering</topic><toplevel>online_resources</toplevel><creatorcontrib>Jinhong Wu</creatorcontrib><creatorcontrib>Chen, H. Z. B.</creatorcontrib><creatorcontrib>Yong Liu</creatorcontrib><creatorcontrib>Liyu Cai</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>Jinhong Wu</au><au>Chen, H. Z. B.</au><au>Yong Liu</au><au>Liyu Cai</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>User clustering and energy efficient cooperation in cellular networks</atitle><btitle>2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)</btitle><stitle>ACSSC</stitle><date>2011-11</date><risdate>2011</risdate><spage>1650</spage><epage>1654</epage><pages>1650-1654</pages><issn>1058-6393</issn><eissn>2576-2303</eissn><isbn>9781467303217</isbn><isbn>1467303216</isbn><eisbn>9781467303224</eisbn><eisbn>1467303232</eisbn><eisbn>9781467303231</eisbn><eisbn>1467303224</eisbn><abstract>We consider user clustering and cooperative transmission in cellular networks. Several physically close users form a cluster to share a single channel for external communication with the base station. The internal information exchange among clustered users is provided by short range device-to-device communication that reuses cellular channels being used by remote clusters. A channel allocation scheme with frequency reuse within the cell is designed to minimize maximum intra-cell interference. We analyze feasible distance for cluster forming and maximum signal to interference and noise ratio due to frequency reuse in such an environment. Our analysis and simulations demonstrate the feasibility of and benefits from the proposed scheme.</abstract><pub>IEEE</pub><doi>10.1109/ACSSC.2011.6190299</doi><tpages>5</tpages></addata></record> |
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language | eng |
recordid | cdi_ieee_primary_6190299 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Channel allocation device-to-device communication Distributed databases Downlink Interchannel interference Multiplexing Signal to noise ratio user clustering |
title | User clustering and energy efficient cooperation in cellular networks |
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