Quantifying the Diversity of OFDMA Subchannels
Orthogonal frequency division multiple access (OFDMA) has been chosen as the radio transmission technology for future 4G wireless networks. One important reason for this choice is that OFDMA offers various forms of diversity (time, frequency, space, etc). These diversity dimensions can be used to pr...
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description | Orthogonal frequency division multiple access (OFDMA) has been chosen as the radio transmission technology for future 4G wireless networks. One important reason for this choice is that OFDMA offers various forms of diversity (time, frequency, space, etc). These diversity dimensions can be used to provide channels with reduced variance and hence more predictable performance. In this paper we focus on the time and frequency dimensions and propose a metric that can be used to quantify diversity. We use the proposed diversity metric to design highly diverse data subchannels and demonstrate the effectiveness of the approach through simulations. With the use of this diversity metric one can more easily design OFDMA channels because of the reduced computational time required to compare layouts. |
doi_str_mv | 10.1109/WCNC.2007.374 |
format | Conference Proceeding |
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One important reason for this choice is that OFDMA offers various forms of diversity (time, frequency, space, etc). These diversity dimensions can be used to provide channels with reduced variance and hence more predictable performance. In this paper we focus on the time and frequency dimensions and propose a metric that can be used to quantify diversity. We use the proposed diversity metric to design highly diverse data subchannels and demonstrate the effectiveness of the approach through simulations. 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One important reason for this choice is that OFDMA offers various forms of diversity (time, frequency, space, etc). These diversity dimensions can be used to provide channels with reduced variance and hence more predictable performance. In this paper we focus on the time and frequency dimensions and propose a metric that can be used to quantify diversity. We use the proposed diversity metric to design highly diverse data subchannels and demonstrate the effectiveness of the approach through simulations. With the use of this diversity metric one can more easily design OFDMA channels because of the reduced computational time required to compare layouts.</description><subject>Communications Society</subject><subject>Cultural differences</subject><subject>Fading</subject><subject>Frequency conversion</subject><subject>Frequency diversity</subject><subject>Numerical simulation</subject><subject>Performance gain</subject><subject>Radio transmitters</subject><subject>Space technology</subject><subject>Wireless networks</subject><issn>1525-3511</issn><issn>1558-2612</issn><isbn>1424406587</isbn><isbn>9781424406586</isbn><isbn>1424406595</isbn><isbn>9781424406593</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFjMtOwzAQAM1LopQeOXHJDyTsrr12fKxSCkiFCgHiWNmJTY1KQEmK1L8HBBJzmcNII8QZQoEI9uK5uqsKAjCFNGpPnKAipUCz5X0xQuYyJ4108B9Kc_gTiHPJiMdi0vev8I1iWXI5EsX91rVDirvUvmTDOmSz9Bm6Pg277D1my_nsdpo9bH29dm0bNv2pOIpu04fJn8fiaX75WF3ni-XVTTVd5AkNDzmpxhpdWuOYJbCWniyGGBofwQHUqvYOHOoovYsNQQMGHckafUN1450ci_PfbwohrD669Oa63UoRKY1WfgH2NEYL</recordid><startdate>200703</startdate><enddate>200703</enddate><creator>Hosein, P.</creator><creator>Jung Woon Lee</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200703</creationdate><title>Quantifying the Diversity of OFDMA Subchannels</title><author>Hosein, P. ; Jung Woon Lee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-24d976897a5530563b291efedbf0a00c4cba0a16f3bafd20d071a23c1bd2cdba3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Communications Society</topic><topic>Cultural differences</topic><topic>Fading</topic><topic>Frequency conversion</topic><topic>Frequency diversity</topic><topic>Numerical simulation</topic><topic>Performance gain</topic><topic>Radio transmitters</topic><topic>Space technology</topic><topic>Wireless networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Hosein, P.</creatorcontrib><creatorcontrib>Jung Woon Lee</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>Hosein, P.</au><au>Jung Woon Lee</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Quantifying the Diversity of OFDMA Subchannels</atitle><btitle>2007 IEEE Wireless Communications and Networking Conference</btitle><stitle>WCNC</stitle><date>2007-03</date><risdate>2007</risdate><spage>1996</spage><epage>2000</epage><pages>1996-2000</pages><issn>1525-3511</issn><eissn>1558-2612</eissn><isbn>1424406587</isbn><isbn>9781424406586</isbn><eisbn>1424406595</eisbn><eisbn>9781424406593</eisbn><abstract>Orthogonal frequency division multiple access (OFDMA) has been chosen as the radio transmission technology for future 4G wireless networks. One important reason for this choice is that OFDMA offers various forms of diversity (time, frequency, space, etc). These diversity dimensions can be used to provide channels with reduced variance and hence more predictable performance. In this paper we focus on the time and frequency dimensions and propose a metric that can be used to quantify diversity. We use the proposed diversity metric to design highly diverse data subchannels and demonstrate the effectiveness of the approach through simulations. With the use of this diversity metric one can more easily design OFDMA channels because of the reduced computational time required to compare layouts.</abstract><pub>IEEE</pub><doi>10.1109/WCNC.2007.374</doi><tpages>5</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Communications Society Cultural differences Fading Frequency conversion Frequency diversity Numerical simulation Performance gain Radio transmitters Space technology Wireless networks |
title | Quantifying the Diversity of OFDMA Subchannels |
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