Belief Propagation Polar Decoding for Wireless Communication Systems with Noisy Channel Estimates
In this paper, we propose a channel reliability compensation factor to enhance the performance of belief propagation polar decoders on flat Rayleigh fading channels with noisy channel estimates. By including the error variance of the channel estimate in the derivation of the channel intrinsic inform...
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| Veröffentlicht in: | Wireless personal communications 2022-03, Vol.123 (2), p.1365-1377 |
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| container_title | Wireless personal communications |
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| creator | Zhang, Si-Yu Shahrrava, Behnam |
| description | In this paper, we propose a channel reliability compensation factor to enhance the performance of belief propagation polar decoders on flat Rayleigh fading channels with noisy channel estimates. By including the error variance of the channel estimate in the derivation of the channel intrinsic information, the formula for calculating the value of channel reliability compensation factor is provided. Simulation results show that a BP polar decoder with the proposed compensation factor achieves a gain of 1.5 dB at a BER of
10
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compared to the one without using the compensation factor. This gain is obtained with no additional complexity. |
| doi_str_mv | 10.1007/s11277-021-09184-7 |
| format | Article |
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10
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compared to the one without using the compensation factor. This gain is obtained with no additional complexity.</description><identifier>ISSN: 0929-6212</identifier><identifier>EISSN: 1572-834X</identifier><identifier>DOI: 10.1007/s11277-021-09184-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Communications Engineering ; Compensation ; Computer Communication Networks ; Decoders ; Decoding ; Engineering ; Estimates ; Networks ; Propagation ; Reliability aspects ; Signal,Image and Speech Processing ; Wireless communication systems</subject><ispartof>Wireless personal communications, 2022-03, Vol.123 (2), p.1365-1377</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-b14528b93d66ca6af531beab73e465e732158c9fb6b580f945b64b898952f4fe3</citedby><cites>FETCH-LOGICAL-c319t-b14528b93d66ca6af531beab73e465e732158c9fb6b580f945b64b898952f4fe3</cites><orcidid>0000-0002-3531-9228</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11277-021-09184-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11277-021-09184-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Zhang, Si-Yu</creatorcontrib><creatorcontrib>Shahrrava, Behnam</creatorcontrib><title>Belief Propagation Polar Decoding for Wireless Communication Systems with Noisy Channel Estimates</title><title>Wireless personal communications</title><addtitle>Wireless Pers Commun</addtitle><description>In this paper, we propose a channel reliability compensation factor to enhance the performance of belief propagation polar decoders on flat Rayleigh fading channels with noisy channel estimates. By including the error variance of the channel estimate in the derivation of the channel intrinsic information, the formula for calculating the value of channel reliability compensation factor is provided. Simulation results show that a BP polar decoder with the proposed compensation factor achieves a gain of 1.5 dB at a BER of
10
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compared to the one without using the compensation factor. This gain is obtained with no additional complexity.</description><subject>Communications Engineering</subject><subject>Compensation</subject><subject>Computer Communication Networks</subject><subject>Decoders</subject><subject>Decoding</subject><subject>Engineering</subject><subject>Estimates</subject><subject>Networks</subject><subject>Propagation</subject><subject>Reliability aspects</subject><subject>Signal,Image and Speech Processing</subject><subject>Wireless communication systems</subject><issn>0929-6212</issn><issn>1572-834X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKAzEUQIMoWKs_4CrgOpp3Jksd6wNECyq6C5lp0qbMTGoyRfr3jo7gztXdnHPv5QBwSvA5wVhdZEKoUghTgrAmBUdqD0yIUBQVjL_vgwnWVCNJCT0ERzmvMR40TSfAXrkmOA_nKW7s0vYhdnAeG5vgtavjInRL6GOCbyG5xuUMy9i22y7UI_m8y71rM_wM_Qo-xpB3sFzZrnMNnOU-tLZ3-RgceNtkd_I7p-D1ZvZS3qGHp9v78vIB1YzoHlWEC1pUmi2krK20XjBSOVsp5rgUTjFKRFFrX8lKFNhrLirJq0IXWlDPvWNTcDbu3aT4sXW5N-u4Td1w0lDJlCgU43yg6EjVKeacnDebNPyZdoZg853SjCnNkNL8pDRqkNgo5QHuli79rf7H-gKFEHeB</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Zhang, Si-Yu</creator><creator>Shahrrava, Behnam</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-3531-9228</orcidid></search><sort><creationdate>20220301</creationdate><title>Belief Propagation Polar Decoding for Wireless Communication Systems with Noisy Channel Estimates</title><author>Zhang, Si-Yu ; Shahrrava, Behnam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-b14528b93d66ca6af531beab73e465e732158c9fb6b580f945b64b898952f4fe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Communications Engineering</topic><topic>Compensation</topic><topic>Computer Communication Networks</topic><topic>Decoders</topic><topic>Decoding</topic><topic>Engineering</topic><topic>Estimates</topic><topic>Networks</topic><topic>Propagation</topic><topic>Reliability aspects</topic><topic>Signal,Image and Speech Processing</topic><topic>Wireless communication systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Si-Yu</creatorcontrib><creatorcontrib>Shahrrava, Behnam</creatorcontrib><collection>CrossRef</collection><jtitle>Wireless personal communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Si-Yu</au><au>Shahrrava, Behnam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Belief Propagation Polar Decoding for Wireless Communication Systems with Noisy Channel Estimates</atitle><jtitle>Wireless personal communications</jtitle><stitle>Wireless Pers Commun</stitle><date>2022-03-01</date><risdate>2022</risdate><volume>123</volume><issue>2</issue><spage>1365</spage><epage>1377</epage><pages>1365-1377</pages><issn>0929-6212</issn><eissn>1572-834X</eissn><abstract>In this paper, we propose a channel reliability compensation factor to enhance the performance of belief propagation polar decoders on flat Rayleigh fading channels with noisy channel estimates. By including the error variance of the channel estimate in the derivation of the channel intrinsic information, the formula for calculating the value of channel reliability compensation factor is provided. Simulation results show that a BP polar decoder with the proposed compensation factor achieves a gain of 1.5 dB at a BER of
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compared to the one without using the compensation factor. This gain is obtained with no additional complexity.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11277-021-09184-7</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-3531-9228</orcidid></addata></record> |
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| ispartof | Wireless personal communications, 2022-03, Vol.123 (2), p.1365-1377 |
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| language | eng |
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| subjects | Communications Engineering Compensation Computer Communication Networks Decoders Decoding Engineering Estimates Networks Propagation Reliability aspects Signal,Image and Speech Processing Wireless communication systems |
| title | Belief Propagation Polar Decoding for Wireless Communication Systems with Noisy Channel Estimates |
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