{"id":"https://openalex.org/W2021551257","doi":"https://doi.org/10.1109/vetecf.2011.6093024","title":"Channel Tracking in Relay Systems via Particle MCMC","display_name":"Channel Tracking in Relay Systems via Particle MCMC","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2021551257","doi":"https://doi.org/10.1109/vetecf.2011.6093024","mag":"2021551257"},"language":"en","primary_location":{"id":"doi:10.1109/vetecf.2011.6093024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vetecf.2011.6093024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Vehicular Technology Conference (VTC Fall)","raw_type":"proceedings-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/A5051994726","display_name":"Ido Nevat","orcid":"https://orcid.org/0000-0003-1567-3446"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ido Nevat","raw_affiliation_strings":["Wireless & Networking Technology Laboratory, CSIRO, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Wireless & Networking Technology Laboratory, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087616647","display_name":"Gareth W. Peters","orcid":"https://orcid.org/0000-0003-2768-8979"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gareth W. Peters","raw_affiliation_strings":["Mathematical & Information Sciences, CSIRO, Sydney, Australia","School of Mathematics and Statistics, University of NSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Mathematical & Information Sciences, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I1292875679"]},{"raw_affiliation_string":"School of Mathematics and Statistics, University of NSW, Sydney, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091837980","display_name":"Jinhong Yuan","orcid":"https://orcid.org/0000-0002-5794-493X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinhong Yuan","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications, University of NSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications, University of NSW, Sydney, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051994726"],"corresponding_institution_ids":["https://openalex.org/I1292875679"],"apc_list":null,"apc_paid":null,"fwci":1.0502,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77518421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9994000196456909,"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9932000041007996,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9929999709129333,"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/relay","display_name":"Relay","score":0.6930992007255554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.664096474647522},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6339654326438904},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.591337263584137},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5900130271911621},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4656783938407898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2070809304714203},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2070673108100891},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1175459623336792},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11005276441574097},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.06447851657867432}],"concepts":[{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.6930992007255554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.664096474647522},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6339654326438904},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.591337263584137},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5900130271911621},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4656783938407898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2070809304714203},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2070673108100891},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1175459623336792},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11005276441574097},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.06447851657867432},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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":1,"locations":[{"id":"doi:10.1109/vetecf.2011.6093024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vetecf.2011.6093024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Vehicular Technology Conference (VTC Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1501586228","https://openalex.org/W1971536606","https://openalex.org/W2028574566","https://openalex.org/W2047978125","https://openalex.org/W2053999146","https://openalex.org/W2113415377","https://openalex.org/W2118702395","https://openalex.org/W2149020252","https://openalex.org/W2156960709","https://openalex.org/W2170461574","https://openalex.org/W6763868703"],"related_works":["https://openalex.org/W2126907425","https://openalex.org/W2208639223","https://openalex.org/W2114656557","https://openalex.org/W1499764293","https://openalex.org/W2195963939","https://openalex.org/W1989212443","https://openalex.org/W2514372983","https://openalex.org/W4245379261","https://openalex.org/W1497303808","https://openalex.org/W2075503097"],"abstract_inverted_index":{"We":[0,27],"present":[1],"a":[2,19,29,49,73,77,95],"new":[3],"approach":[4],"for":[5],"joint":[6],"channel":[7],"tracking":[8],"and":[9,39],"parameter":[10],"estimation":[11],"in":[12],"cooperative":[13],"wireless":[14],"relay":[15,33,41],"networks,":[16],"based":[17],"on":[18,72],"particle":[20],"Markov":[21,65],"chain":[22,66],"Monte":[23,67,80],"Carlo":[24,68,81],"(PMCMC)":[25],"method.":[26],"consider":[28],"system":[30],"with":[31],"multiple":[32],"nodes":[34],"operating":[35],"under":[36],"an":[37,63],"amplify":[38],"forward":[40],"function.":[42],"In":[43],"particular,":[44],"it":[45],"first":[46],"involves":[47],"developing":[48],"non-liner":[50],"Bayesian":[51],"state":[52],"space":[53],"model,":[54],"then":[55],"estimating":[56],"the":[57,87,90,98],"associated":[58],"high":[59],"dimensional":[60],"posterior":[61],"using":[62,76],"adaptive":[64],"(MCMC)":[69],"sampler":[70],"relying":[71],"proposal":[74],"built":[75],"Rao-Blackwellised":[78],"Sequential":[79],"(SMC)":[82],"filter.":[83],"Simulation":[84],"results":[85],"demonstrate":[86],"effectiveness":[88],"of":[89,97,101],"proposed":[91],"algorithm,":[92],"requiring":[93],"only":[94],"fraction":[96],"computational":[99],"complexity":[100],"standard":[102],"MCMC":[103],"approaches.":[104]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
