Successive Interference Cancellation Using Constellation Structure
An approach to successive interference cancellation is presented that exploits the structure of the combined signal constellation in a multiuser system. The asymptotic conditional efficiency of a successive detector is defined, based on the conditional probability of error at high signal-to-noise ra...
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| Veröffentlicht in: | IEEE transactions on signal processing 2007-12, Vol.55 (12), p.5716-5730 |
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| container_title | IEEE transactions on signal processing |
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| creator | Gupta, A.S. Singer, A. |
| description | An approach to successive interference cancellation is presented that exploits the structure of the combined signal constellation in a multiuser system. The asymptotic conditional efficiency of a successive detector is defined, based on the conditional probability of error at high signal-to-noise ratio (SNR), as a quantitative measure for evaluating detector performance at each stage of successive detection. The joint successive interference canceller (JSIC) that jointly detects consecutive users in an ordered set is proposed as an improvement over the conventional successive interference canceller (SIC). The maximal asymptotic conditional efficiency successive interference canceller (MACE-SIC) and its JSIC equivalent (MACE-JSIC) are also derived as the multiuser detectors that achieve the highest asymptotic conditional multiuser efficiency at each stage of successive detection among all possible SIC and JSIC detectors, respectively, given any particular ordering of user signals. The ordering of users achieving the highest asymptotic conditional efficiency at each stage of successive detection is derived. Performance bounds based on the signal constellation structure are derived to quantify the gain of the MACE-JSIC detector compared to the MACE-SIC detector. |
| doi_str_mv | 10.1109/TSP.2007.898779 |
| format | Article |
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The asymptotic conditional efficiency of a successive detector is defined, based on the conditional probability of error at high signal-to-noise ratio (SNR), as a quantitative measure for evaluating detector performance at each stage of successive detection. The joint successive interference canceller (JSIC) that jointly detects consecutive users in an ordered set is proposed as an improvement over the conventional successive interference canceller (SIC). The maximal asymptotic conditional efficiency successive interference canceller (MACE-SIC) and its JSIC equivalent (MACE-JSIC) are also derived as the multiuser detectors that achieve the highest asymptotic conditional multiuser efficiency at each stage of successive detection among all possible SIC and JSIC detectors, respectively, given any particular ordering of user signals. The ordering of users achieving the highest asymptotic conditional efficiency at each stage of successive detection is derived. 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(IEEE) 2007</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-5521429a1f1180ccd73b2ffde7a1862c334b4e7c9806f395f35a22c9932510dc3</citedby><cites>FETCH-LOGICAL-c422t-5521429a1f1180ccd73b2ffde7a1862c334b4e7c9806f395f35a22c9932510dc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4359510$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4359510$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19886284$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Gupta, A.S.</creatorcontrib><creatorcontrib>Singer, A.</creatorcontrib><title>Successive Interference Cancellation Using Constellation Structure</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>An approach to successive interference cancellation is presented that exploits the structure of the combined signal constellation in a multiuser system. The asymptotic conditional efficiency of a successive detector is defined, based on the conditional probability of error at high signal-to-noise ratio (SNR), as a quantitative measure for evaluating detector performance at each stage of successive detection. The joint successive interference canceller (JSIC) that jointly detects consecutive users in an ordered set is proposed as an improvement over the conventional successive interference canceller (SIC). The maximal asymptotic conditional efficiency successive interference canceller (MACE-SIC) and its JSIC equivalent (MACE-JSIC) are also derived as the multiuser detectors that achieve the highest asymptotic conditional multiuser efficiency at each stage of successive detection among all possible SIC and JSIC detectors, respectively, given any particular ordering of user signals. The ordering of users achieving the highest asymptotic conditional efficiency at each stage of successive detection is derived. 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(IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20071201</creationdate><title>Successive Interference Cancellation Using Constellation Structure</title><author>Gupta, A.S. ; Singer, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-5521429a1f1180ccd73b2ffde7a1862c334b4e7c9806f395f35a22c9932510dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Applied sciences</topic><topic>Asymptotic efficiency</topic><topic>Asymptotic properties</topic><topic>Bit error rate</topic><topic>Cancellation</topic><topic>Cancellers</topic><topic>Codes</topic><topic>Constellation diagram</topic><topic>Constellations</topic><topic>convex optimization</topic><topic>detection</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Detectors</topic><topic>Efficiency</topic><topic>Equivalence</topic><topic>Exact sciences and technology</topic><topic>Information, signal and communications theory</topic><topic>Interference</topic><topic>Interference cancellation</topic><topic>Maximum likelihood detection</topic><topic>Miscellaneous</topic><topic>Multiuser detection</topic><topic>Multiuser systems</topic><topic>Order disorder</topic><topic>Performance gain</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>Signal to noise ratio</topic><topic>Signal, noise</topic><topic>Silicon carbide</topic><topic>Studies</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gupta, A.S.</creatorcontrib><creatorcontrib>Singer, A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gupta, A.S.</au><au>Singer, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Successive Interference Cancellation Using Constellation Structure</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2007-12-01</date><risdate>2007</risdate><volume>55</volume><issue>12</issue><spage>5716</spage><epage>5730</epage><pages>5716-5730</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>An approach to successive interference cancellation is presented that exploits the structure of the combined signal constellation in a multiuser system. The asymptotic conditional efficiency of a successive detector is defined, based on the conditional probability of error at high signal-to-noise ratio (SNR), as a quantitative measure for evaluating detector performance at each stage of successive detection. The joint successive interference canceller (JSIC) that jointly detects consecutive users in an ordered set is proposed as an improvement over the conventional successive interference canceller (SIC). The maximal asymptotic conditional efficiency successive interference canceller (MACE-SIC) and its JSIC equivalent (MACE-JSIC) are also derived as the multiuser detectors that achieve the highest asymptotic conditional multiuser efficiency at each stage of successive detection among all possible SIC and JSIC detectors, respectively, given any particular ordering of user signals. The ordering of users achieving the highest asymptotic conditional efficiency at each stage of successive detection is derived. Performance bounds based on the signal constellation structure are derived to quantify the gain of the MACE-JSIC detector compared to the MACE-SIC detector.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2007.898779</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Applied sciences Asymptotic efficiency Asymptotic properties Bit error rate Cancellation Cancellers Codes Constellation diagram Constellations convex optimization detection Detection, estimation, filtering, equalization, prediction Detectors Efficiency Equivalence Exact sciences and technology Information, signal and communications theory Interference Interference cancellation Maximum likelihood detection Miscellaneous Multiuser detection Multiuser systems Order disorder Performance gain Signal and communications theory Signal processing Signal to noise ratio Signal, noise Silicon carbide Studies Telecommunications and information theory |
| title | Successive Interference Cancellation Using Constellation Structure |
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