The applicability of cooperative AMC with multiple sensors in dispersive fading channels
A deployment of cooperative multiple sensors offers considerable enhancement of the automatic modulation classification (AMC) performances, particularly in multipath fading environment. However, the recent studies showed that potential performance gains reported under the idealized conditions are no...
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creator | Markovic, Goran B. Dukic, Miroslav L. |
description | A deployment of cooperative multiple sensors offers considerable enhancement of the automatic modulation classification (AMC) performances, particularly in multipath fading environment. However, the recent studies showed that potential performance gains reported under the idealized conditions are not straightforwardly achievable in real-world application. Through a comprehensive analysis of cooperative AMC solutions using cumulants under the realistic conditions and for the different dispersive fading channels, we here show that these huge performance gains are practically achievable if the appropriate channel estimation methods are applied. |
doi_str_mv | 10.1109/TELFOR.2013.6716213 |
format | Conference Proceeding |
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Through a comprehensive analysis of cooperative AMC solutions using cumulants under the realistic conditions and for the different dispersive fading channels, we here show that these huge performance gains are practically achievable if the appropriate channel estimation methods are applied.</description><identifier>EISBN: 1479914207</identifier><identifier>EISBN: 9781479914197</identifier><identifier>EISBN: 1479914193</identifier><identifier>EISBN: 9781479914203</identifier><identifier>DOI: 10.1109/TELFOR.2013.6716213</identifier><language>eng</language><publisher>IEEE</publisher><subject>Artificial neural networks ; Automatic modulation classification (AMC) ; cognitive radio ; cumulants ; Phase shift keying ; Radio access networks ; Wireless sensor networks ; wireless sensor networks (WSN)</subject><ispartof>2013 21st Telecommunications Forum Telfor (TELFOR), 2013, p.224-227</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/6716213$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6716213$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Markovic, Goran B.</creatorcontrib><creatorcontrib>Dukic, Miroslav L.</creatorcontrib><title>The applicability of cooperative AMC with multiple sensors in dispersive fading channels</title><title>2013 21st Telecommunications Forum Telfor (TELFOR)</title><addtitle>TELFOR</addtitle><description>A deployment of cooperative multiple sensors offers considerable enhancement of the automatic modulation classification (AMC) performances, particularly in multipath fading environment. However, the recent studies showed that potential performance gains reported under the idealized conditions are not straightforwardly achievable in real-world application. Through a comprehensive analysis of cooperative AMC solutions using cumulants under the realistic conditions and for the different dispersive fading channels, we here show that these huge performance gains are practically achievable if the appropriate channel estimation methods are applied.</description><subject>Artificial neural networks</subject><subject>Automatic modulation classification (AMC)</subject><subject>cognitive radio</subject><subject>cumulants</subject><subject>Phase shift keying</subject><subject>Radio access networks</subject><subject>Wireless sensor networks</subject><subject>wireless sensor networks (WSN)</subject><isbn>1479914207</isbn><isbn>9781479914197</isbn><isbn>1479914193</isbn><isbn>9781479914203</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotz9FKwzAUxvF4IahzT7CbvEBrTtI0y-UomwqVgVTwbqTNqT2StaWpyt7eibv6bn588GdsBSIFEPah2pa7_WsqBag0N5BLUFfsDjJjLWRSmBu2jPFTCAHGaA32lr1XHXI3joEaV1Og-cSHljfDMOLkZvpGvnkp-A_NHT9-hZnGgDxiH4cpcuq5p3iG8c-1zlP_wZvO9T2GeM-uWxciLi-7YG-7bVU8JeX-8bnYlAmBVHNi19LItVLCZ1ZDjY3ELK9R5srlutYtKps5DdigV-g8OGmNb80ZwJmbWi3Y6v-XEPEwTnR00-lwiVe_IAxRnw</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Markovic, Goran B.</creator><creator>Dukic, Miroslav L.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20131101</creationdate><title>The applicability of cooperative AMC with multiple sensors in dispersive fading channels</title><author>Markovic, Goran B. ; Dukic, Miroslav L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i123t-982728330d4951bec2e46be263a65b5fe394a51eced3ead1a297df7e26151b7b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Artificial neural networks</topic><topic>Automatic modulation classification (AMC)</topic><topic>cognitive radio</topic><topic>cumulants</topic><topic>Phase shift keying</topic><topic>Radio access networks</topic><topic>Wireless sensor networks</topic><topic>wireless sensor networks (WSN)</topic><toplevel>online_resources</toplevel><creatorcontrib>Markovic, Goran B.</creatorcontrib><creatorcontrib>Dukic, Miroslav L.</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>Markovic, Goran B.</au><au>Dukic, Miroslav L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The applicability of cooperative AMC with multiple sensors in dispersive fading channels</atitle><btitle>2013 21st Telecommunications Forum Telfor (TELFOR)</btitle><stitle>TELFOR</stitle><date>2013-11-01</date><risdate>2013</risdate><spage>224</spage><epage>227</epage><pages>224-227</pages><eisbn>1479914207</eisbn><eisbn>9781479914197</eisbn><eisbn>1479914193</eisbn><eisbn>9781479914203</eisbn><abstract>A deployment of cooperative multiple sensors offers considerable enhancement of the automatic modulation classification (AMC) performances, particularly in multipath fading environment. However, the recent studies showed that potential performance gains reported under the idealized conditions are not straightforwardly achievable in real-world application. Through a comprehensive analysis of cooperative AMC solutions using cumulants under the realistic conditions and for the different dispersive fading channels, we here show that these huge performance gains are practically achievable if the appropriate channel estimation methods are applied.</abstract><pub>IEEE</pub><doi>10.1109/TELFOR.2013.6716213</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Artificial neural networks Automatic modulation classification (AMC) cognitive radio cumulants Phase shift keying Radio access networks Wireless sensor networks wireless sensor networks (WSN) |
title | The applicability of cooperative AMC with multiple sensors in dispersive fading channels |
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