{"id":"https://openalex.org/W2160269669","doi":"https://doi.org/10.1109/twc.2006.1638673","title":"SR ARQ delay statistics on N-state Markov channels with non-instantaneous feedback","display_name":"SR ARQ delay statistics on N-state Markov channels with non-instantaneous feedback","publication_year":2006,"publication_date":"2006-06-01","ids":{"openalex":"https://openalex.org/W2160269669","doi":"https://doi.org/10.1109/twc.2006.1638673","mag":"2160269669"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2006.1638673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2006.1638673","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":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012618073","display_name":"Michele Rossi","orcid":"https://orcid.org/0000-0003-1121-324X"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Rossi","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091395562","display_name":"Leonardo Badia","orcid":"https://orcid.org/0000-0001-5770-1199"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Badia","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005894115","display_name":"Michele Zorzi","orcid":"https://orcid.org/0000-0003-2870-4678"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Zorzi","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Padova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":5.4249,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95491429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"6","first_page":"1526","last_page":"1536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":1.0,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":1.0,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9997000098228455,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-repeat-request","display_name":"Automatic repeat request","score":0.685896635055542},{"id":"https://openalex.org/keywords/selective-repeat-arq","display_name":"Selective Repeat ARQ","score":0.6687610745429993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6448701024055481},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5927197933197021},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.5776880383491516},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5511611104011536},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5490657091140747},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.520149290561676},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.48483431339263916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48019421100616455},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47449254989624023},{"id":"https://openalex.org/keywords/hybrid-automatic-repeat-request","display_name":"Hybrid automatic repeat request","score":0.463285356760025},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.4541168212890625},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3245951235294342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31681209802627563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25060442090034485},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16514569520950317},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14020809531211853},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.08997416496276855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.060689300298690796}],"concepts":[{"id":"https://openalex.org/C171952454","wikidata":"https://www.wikidata.org/wiki/Q29522","display_name":"Automatic repeat request","level":4,"score":0.685896635055542},{"id":"https://openalex.org/C91739489","wikidata":"https://www.wikidata.org/wiki/Q7447752","display_name":"Selective Repeat ARQ","level":5,"score":0.6687610745429993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6448701024055481},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5927197933197021},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.5776880383491516},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5511611104011536},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5490657091140747},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.520149290561676},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.48483431339263916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48019421100616455},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47449254989624023},{"id":"https://openalex.org/C118437007","wikidata":"https://www.wikidata.org/wiki/Q1017139","display_name":"Hybrid automatic repeat request","level":3,"score":0.463285356760025},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.4541168212890625},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3245951235294342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31681209802627563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25060442090034485},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16514569520950317},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14020809531211853},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.08997416496276855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.060689300298690796}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/twc.2006.1638673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2006.1638673","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:CiteSeerX.psu:10.1.1.500.3660","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.500.3660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dei.unipd.it/~badia/papers/2006_TW_ARQN-sta.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.703.5078","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.703.5078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dei.unipd.it/%7Erossi/papers/PID41558.pdf","raw_type":"text"},{"id":"pmh:oai:www.research.unipd.it:11577/2443432","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/document/1638673/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W586760411","https://openalex.org/W1533965270","https://openalex.org/W1596939795","https://openalex.org/W1799735220","https://openalex.org/W2039742567","https://openalex.org/W2047575030","https://openalex.org/W2067648640","https://openalex.org/W2098046554","https://openalex.org/W2099111195","https://openalex.org/W2105840468","https://openalex.org/W2107486354","https://openalex.org/W2111604404","https://openalex.org/W2114035993","https://openalex.org/W2150299862","https://openalex.org/W2151707491","https://openalex.org/W2154172411","https://openalex.org/W2156702944","https://openalex.org/W2164322705","https://openalex.org/W2164599584","https://openalex.org/W2165556584","https://openalex.org/W2168467796","https://openalex.org/W2168623835","https://openalex.org/W2613173048","https://openalex.org/W4212888567"],"related_works":["https://openalex.org/W25248209","https://openalex.org/W1704230881","https://openalex.org/W2025662109","https://openalex.org/W2050206424","https://openalex.org/W2122398137","https://openalex.org/W1517398983","https://openalex.org/W2112654450","https://openalex.org/W2061672645","https://openalex.org/W2360639991","https://openalex.org/W2169076848"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2,183],"the":[3,30,35,52,58,100,105,116,121,128,133,138,147,150,156,161,164,182,188,191,198],"packet":[4,31,59,64,78],"delay":[5,39,65,101,129],"statistics":[6,66,102,130,177],"of":[7,71,92,115,127,137,149,152,163,190,200],"a":[8,88,93,170],"fully":[9],"reliable":[10],"selective":[11],"repeat":[12],"ARQ":[13,63,118],"(SR":[14],"ARQ)":[15],"scheme":[16],"is":[17,26,40,67,108,142],"investigated.":[18],"An":[19],"N-state":[20,179],"discrete":[21],"time":[22],"Markov":[23,89,106,134,157,180,194],"channel":[24,36,55,81,90,158],"model":[25,159],"used":[27,193],"to":[28,42,86,173],"describe":[29],"error":[32],"process":[33,96,141],"and":[34,80,99,160],"round":[37],"trip":[38],"considered":[41,154],"be":[43],"non":[44],"zero,":[45],"i.e.,":[46],"ACK/NACK":[47],"messages":[48],"are":[49,97],"received":[50],"at":[51],"transmitter":[53],"m":[54],"slots":[56],"after":[57],"transmission":[60],"started.":[61],"The":[62,125],"evaluated":[68],"by":[69,75,113,144],"means":[70],"an":[72],"exact":[73],"analysis":[74,107,172],"jointly":[76],"tracking":[77],"errors":[79],"state":[82],"evolution.":[83],"Furthermore,":[84],"procedures":[85],"derive":[87],"description":[91],"Rayleigh":[94],"fading":[95,123,140],"discussed":[98],"obtained":[103,131],"from":[104,132],"compared":[109],"with":[110],"that":[111],"estimated":[112],"simulation":[114],"SR":[117],"protocol":[119],"over":[120,178],"actual":[122,139],"process.":[124],"accuracy":[126],"Channel":[135],"representation":[136],"investigated":[143],"explicitly":[145],"addressing":[146],"effect":[148],"number":[151],"states":[153],"in":[155],"impact":[162],"Doppler":[165],"frequency.":[166],"Finally,":[167],"besides":[168],"giving":[169],"new":[171],"obtain":[174],"link":[175],"layer":[176,202],"channels,":[181],"provides":[184],"important":[185],"considerations":[186],"on":[187],"adequacy":[189],"widely":[192],"modeling":[195],"approach":[196],"for":[197],"characterization":[199],"higher":[201],"performance":[203]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
