{"id":"https://openalex.org/W3110718313","doi":"https://doi.org/10.1109/twc.2020.3044103","title":"Low-Complexity Soft-Output MIMO Detectors Based on Optimal Channel Puncturing","display_name":"Low-Complexity Soft-Output MIMO Detectors Based on Optimal Channel Puncturing","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3110718313","doi":"https://doi.org/10.1109/twc.2020.3044103","mag":"3110718313"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2020.3044103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2020.3044103","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.05086","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038988201","display_name":"Mohammad M. Mansour","orcid":"https://orcid.org/0000-0002-8316-1330"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":true,"raw_author_name":"Mohammad M. Mansour","raw_affiliation_strings":["American University of Beirut, Beirut, Lebanon","American University of Beirut"],"affiliations":[{"raw_affiliation_string":"American University of Beirut, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]},{"raw_affiliation_string":"American University of Beirut","institution_ids":["https://openalex.org/I98635879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038988201"],"corresponding_institution_ids":["https://openalex.org/I98635879"],"apc_list":null,"apc_paid":null,"fwci":0.104,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4553815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":"4","first_page":"2729","last_page":"2745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/puncturing","display_name":"Puncturing","score":0.802091658115387},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6793588399887085},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6743372678756714},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6615132093429565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5297024846076965},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5094295144081116},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.497334748506546},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4939175248146057},{"id":"https://openalex.org/keywords/gaussian-elimination","display_name":"Gaussian elimination","score":0.44444021582603455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3691214323043823},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2716364860534668},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19557726383209229},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08800286054611206},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07658937573432922}],"concepts":[{"id":"https://openalex.org/C2778808095","wikidata":"https://www.wikidata.org/wiki/Q3899825","display_name":"Puncturing","level":2,"score":0.802091658115387},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6793588399887085},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6743372678756714},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6615132093429565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5297024846076965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5094295144081116},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.497334748506546},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4939175248146057},{"id":"https://openalex.org/C126312332","wikidata":"https://www.wikidata.org/wiki/Q2658","display_name":"Gaussian elimination","level":3,"score":0.44444021582603455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3691214323043823},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2716364860534668},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19557726383209229},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08800286054611206},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07658937573432922},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/twc.2020.3044103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2020.3044103","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2012.05086","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.05086","pdf_url":"https://arxiv.org/pdf/2012.05086","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3110718313","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2012.05086v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2012.05086","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.05086","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.05086","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.05086","pdf_url":"https://arxiv.org/pdf/2012.05086","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309999","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W58580312","https://openalex.org/W1574942719","https://openalex.org/W1900169287","https://openalex.org/W1946663460","https://openalex.org/W1981413242","https://openalex.org/W1996369530","https://openalex.org/W2017904359","https://openalex.org/W2025972945","https://openalex.org/W2050308627","https://openalex.org/W2054620919","https://openalex.org/W2065955725","https://openalex.org/W2073053079","https://openalex.org/W2112772743","https://openalex.org/W2121837475","https://openalex.org/W2137886873","https://openalex.org/W2137985086","https://openalex.org/W2138293524","https://openalex.org/W2140940105","https://openalex.org/W2141040012","https://openalex.org/W2148978817","https://openalex.org/W2153948997","https://openalex.org/W2157039519","https://openalex.org/W2165808853","https://openalex.org/W2567424717","https://openalex.org/W2618321905","https://openalex.org/W2755748036","https://openalex.org/W2921439953","https://openalex.org/W2963764831","https://openalex.org/W2982293047","https://openalex.org/W2995833405","https://openalex.org/W3046024213","https://openalex.org/W4234572373","https://openalex.org/W4245345046","https://openalex.org/W4312258136"],"related_works":["https://openalex.org/W3117811270","https://openalex.org/W3003304375","https://openalex.org/W2347922750","https://openalex.org/W2282140051","https://openalex.org/W2164120799","https://openalex.org/W2958707864","https://openalex.org/W2117298261","https://openalex.org/W2995838116","https://openalex.org/W2078923360","https://openalex.org/W2747872748","https://openalex.org/W2890532272","https://openalex.org/W2034951642","https://openalex.org/W2320115358","https://openalex.org/W2096848384","https://openalex.org/W1586774336","https://openalex.org/W3093934215","https://openalex.org/W2166580126","https://openalex.org/W2984224726","https://openalex.org/W2887415215","https://openalex.org/W3134416382"],"abstract_inverted_index":{"Channel":[0],"puncturing":[1,86],"transforms":[2],"a":[3,9,48,101,123,137],"multiple-input":[4],"multiple-output":[5],"(MIMO)":[6],"channel":[7,37,50,56,85,117],"into":[8,112,136],"sparse":[10],"lower-triangular":[11],"form":[12],"using":[13],"the":[14,54,79,91,94,109,146,150,168],"so-called":[15],"WL":[16,44,67,125],"decomposition":[17],"scheme":[18],"in":[19,57,89],"order":[20],"to":[21,77],"reduce":[22],"tree-based":[23,173],"detection":[24,104],"complexity.":[25,161],"We":[26,81,106,162],"propose":[27],"computationally":[28],"efficient":[29],"soft-output":[30],"detectors":[31],"based":[32,99],"on":[33,93,100],"two":[34],"forms":[35],"of":[36],"puncturing:":[38],"augmented":[39,43,58,84],"and":[40,74,116],"two-sided.":[41],"The":[42,65],"detector":[45,68,126],"(AWLD)":[46],"employs":[47,71],"punctured":[49],"derived":[51],"by":[52,61,122,142],"triangularizing":[53],"true":[55],"form,":[59],"followed":[60,121,141],"left-sided":[62,75],"Gaussian":[63],"elimination.":[64],"two-sided":[66],"(dubbed":[69],"WLZ)":[70],"right-sided":[72],"reduction":[73,139],"elimination":[76],"puncture":[78],"channel.":[80],"prove":[82],"that":[83,108,128,165],"is":[87],"optimal":[88],"maximizing":[90],"lower-bound":[92],"achievable":[95],"information":[96],"rate":[97],"(AIR)":[98],"new":[102],"mismatched":[103],"model.":[105],"show":[107,164],"AWLD":[110,144],"decomposes":[111,135],"an":[113],"MMSE":[114],"prefilter":[115],"gain":[118],"compensation":[119],"stages,":[120],"regular":[124],"(WLD)":[127],"computes":[129],"least-squares":[130],"soft-decision":[131],"estimates.":[132],"Similarly,":[133],"WLZ":[134,166],"pre-processing":[138],"step":[140],"WLD.":[143],"attains":[145,167],"same":[147],"performance":[148],"as":[149],"existing":[151],"AIR-based":[152],"partial":[153],"marginalization":[154],"(PM)":[155],"detector,":[156],"but":[157],"with":[158],"less":[159],"computational":[160],"empirically":[163],"best":[169],"complexity-performance":[170],"tradeoff":[171],"among":[172],"detectors.":[174]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
