{"id":"https://openalex.org/W2953265437","doi":"https://doi.org/10.1109/tccn.2019.2922315","title":"Collaborative and Passive Channel Gain Estimation in Fading Environments","display_name":"Collaborative and Passive Channel Gain Estimation in Fading Environments","publication_year":2019,"publication_date":"2019-06-12","ids":{"openalex":"https://openalex.org/W2953265437","doi":"https://doi.org/10.1109/tccn.2019.2922315","mag":"2953265437"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2019.2922315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2019.2922315","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","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/A5029691710","display_name":"Binoy G. Kurien","orcid":"https://orcid.org/0000-0003-4496-1543"},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Binoy G. Kurien","raw_affiliation_strings":["Advanced RF Techniques Group, MIT Lincoln Laboratory, Lexington, USA"],"raw_orcid":"https://orcid.org/0000-0003-4496-1543","affiliations":[{"raw_affiliation_string":"Advanced RF Techniques Group, MIT Lincoln Laboratory, Lexington, USA","institution_ids":["https://openalex.org/I4210122954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029691710"],"corresponding_institution_ids":["https://openalex.org/I4210122954"],"apc_list":null,"apc_paid":null,"fwci":0.1211,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45477204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":"4","first_page":"863","last_page":"872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998999834060669,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9998999834060669,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9998000264167786,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","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/fading","display_name":"Fading","score":0.8775991797447205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.808599591255188},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.598486602306366},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5773534178733826},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4985380172729492},{"id":"https://openalex.org/keywords/capture-effect","display_name":"Capture effect","score":0.4853750467300415},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4590948522090912},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.43256402015686035},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.42895182967185974},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4214039444923401},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.3497598171234131},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.3494221568107605},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14223268628120422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09708905220031738}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.8775991797447205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.808599591255188},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.598486602306366},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5773534178733826},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4985380172729492},{"id":"https://openalex.org/C187077762","wikidata":"https://www.wikidata.org/wiki/Q5036976","display_name":"Capture effect","level":4,"score":0.4853750467300415},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4590948522090912},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.43256402015686035},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.42895182967185974},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4214039444923401},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.3497598171234131},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.3494221568107605},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14223268628120422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09708905220031738}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tccn.2019.2922315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2019.2922315","pdf_url":null,"source":{"id":"https://openalex.org/S2484188435","display_name":"IEEE Transactions on Cognitive Communications and Networking","issn_l":"2332-7731","issn":["2332-7731","2372-2045"],"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 Cognitive Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1686109301","display_name":null,"funder_award_id":"FA8702-15-D-0001","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W250076511","https://openalex.org/W636998947","https://openalex.org/W1940956353","https://openalex.org/W1965392255","https://openalex.org/W2004289858","https://openalex.org/W2015278147","https://openalex.org/W2037949688","https://openalex.org/W2077428818","https://openalex.org/W2104731635","https://openalex.org/W2111451451","https://openalex.org/W2120557424","https://openalex.org/W2121170607","https://openalex.org/W2149233816","https://openalex.org/W2151506308","https://openalex.org/W2168747198","https://openalex.org/W2467077495","https://openalex.org/W3101018627","https://openalex.org/W6676810994"],"related_works":["https://openalex.org/W1931943713","https://openalex.org/W301676527","https://openalex.org/W2991224564","https://openalex.org/W3140554627","https://openalex.org/W2786632316","https://openalex.org/W1757854673","https://openalex.org/W4289865786","https://openalex.org/W2110670012","https://openalex.org/W2507345605","https://openalex.org/W2103028776"],"abstract_inverted_index":{"Dynamic":[0],"spectrum":[1],"access":[2],"techniques":[3],"are":[4],"typically":[5],"aided":[6],"by":[7],"knowledge":[8,19,115],"of":[9,25,42,72,95,116],"the":[10,21,43,50,79,93,101,108,133,136],"wireless":[11],"channel":[12,44],"gains":[13,45,80],"among":[14,76],"participating":[15],"radios,":[16],"as":[17,59],"this":[18,111],"allows":[20],"potential":[22],"interference":[23],"impact":[24],"any":[26],"radio's":[27],"transmissions":[28],"on":[29,49,92,114],"its":[30],"neighbors":[31],"to":[32,132],"be":[33,82],"quantified.":[34],"We":[35,65],"present":[36],"a":[37,86,125],"technique":[38],"for":[39,107],"collaborative":[40],"inference":[41],"which":[46,128],"relies":[47,113],"solely":[48],"radios":[51],"monitoring":[52],"their":[53,62],"aggregate":[54],"transmitted":[55],"and":[56,88],"received":[57],"energies":[58],"they":[60],"transmit":[61],"data":[63],"packets.":[64],"demonstrate":[66],"that":[67],"through":[68],"low":[69,90],"data-rate":[70],"exchange":[71],"these":[73],"energy":[74],"metrics":[75],"bursty":[77],"networks,":[78],"can":[81],"jointly":[83],"estimated":[84],"within":[85],"dB":[87],"with":[89],"latency":[91],"order":[94],"seconds.":[96],"In":[97],"particular,":[98],"we":[99,123],"derive":[100],"best":[102],"linear":[103],"unbiased":[104],"estimator":[105,112],"(BLUE)":[106],"gains.":[109],"While":[110],"fading":[117,138],"parameters":[118],"not":[119],"known":[120],"in":[121,135,141],"practice,":[122],"propose":[124],"practical":[126],"variant":[127],"achieves":[129],"performance":[130],"comparable":[131],"BLUE":[134],"realistic":[137],"setting":[139],"used":[140],"our":[142],"simulations.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}