{"id":"https://openalex.org/W4289655449","doi":"https://doi.org/10.1109/isit50566.2022.9834756","title":"Simultaneous Sensing and Channel Access based on Partial Observations via Deep Reinforcement Learning","display_name":"Simultaneous Sensing and Channel Access based on Partial Observations via Deep Reinforcement Learning","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655449","doi":"https://doi.org/10.1109/isit50566.2022.9834756"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834756","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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/A5031819144","display_name":"Yoel Bokobza","orcid":"https://orcid.org/0000-0003-3029-8365"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Yoel Bokobza","raw_affiliation_strings":["Ben-Gurion University of the Negev,Department of Electrical and Computer Engineering,Be&#x2019;er-Sheva,Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev,Department of Electrical and Computer Engineering,Be&#x2019;er-Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009852532","display_name":"Ron Dabora","orcid":"https://orcid.org/0000-0001-8486-1243"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ron Dabora","raw_affiliation_strings":["Ben-Gurion University of the Negev,Department of Electrical and Computer Engineering,Be&#x2019;er-Sheva,Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev,Department of Electrical and Computer Engineering,Be&#x2019;er-Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066085947","display_name":"Kobi Cohen","orcid":"https://orcid.org/0000-0003-0532-009X"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Kobi Cohen","raw_affiliation_strings":["Ben-Gurion University of the Negev,Department of Electrical and Computer Engineering,Be&#x2019;er-Sheva,Israel"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University of the Negev,Department of Electrical and Computer Engineering,Be&#x2019;er-Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031819144"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21761838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2684","last_page":"2689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994999766349792,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7896507382392883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6707786321640015},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6102611422538757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4339798390865326},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22882527112960815}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7896507382392883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707786321640015},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6102611422538757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4339798390865326},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22882527112960815}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834756","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W592963477","https://openalex.org/W1522301498","https://openalex.org/W1526373655","https://openalex.org/W1751431909","https://openalex.org/W1977509904","https://openalex.org/W1980829002","https://openalex.org/W2029199203","https://openalex.org/W2045026444","https://openalex.org/W2099706679","https://openalex.org/W2121863487","https://openalex.org/W2141515329","https://openalex.org/W2145339207","https://openalex.org/W2150328967","https://openalex.org/W2746553466","https://openalex.org/W2898035736","https://openalex.org/W2907252996","https://openalex.org/W2910713515","https://openalex.org/W2963079995","https://openalex.org/W2963828068","https://openalex.org/W2983432303","https://openalex.org/W3013525469","https://openalex.org/W3023368586","https://openalex.org/W3102381603","https://openalex.org/W3121362365","https://openalex.org/W4286895704","https://openalex.org/W6631190155","https://openalex.org/W6677067356","https://openalex.org/W6788418627","https://openalex.org/W6802958873"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109","https://openalex.org/W4362501864","https://openalex.org/W2001405890"],"abstract_inverted_index":{"This":[0],"paper":[1,15],"is":[2,60,83,95,144,163],"eligible":[3],"for":[4,118,151],"the":[5,45,57,76,91,104,131,136,157,164,184],"Jack":[6],"Keil":[7],"Wolf":[8],"ISIT":[9],"Student":[10],"Paper":[11],"Award.":[12],"In":[13],"this":[14,81,162],"we":[16,100],"study":[17],"dynamic":[18],"spectrum":[19],"access":[20,73,133,178],"(DSA)":[21],"in":[22,80],"cognitive":[23],"wireless":[24],"networks,":[25],"consisting":[26],"of":[27,44,159,167],"primary":[28],"users":[29],"(PUs)":[30],"and":[31,53,71,121,123,135,153,177,194,197],"a":[32,86,111,115,125,168,188],"secondary":[33],"user":[34],"(SU)":[35],"which":[36,143,173],"has":[37],"only":[38],"partial":[39],"observations.":[40],"The":[41],"traffic":[42],"patterns":[43],"PUs":[46],"are":[47,54,65],"modeled":[48],"as":[49,63,110,147],"finite-memory":[50],"Markov":[51],"chains,":[52],"unknown":[55],"to":[56,84,146,203],"SU.":[58],"It":[59],"noted":[61],"that":[62,90,98,103,128,183,190],"observations":[64],"partial,":[66],"then":[67],"both":[68,119,130,175,192],"channel":[69,72,195],"sensing":[70,120,138,176,193],"actions":[74],"affect":[75],"throughput.":[77],"Our":[78,180],"objective":[79],"work":[82],"design":[85],"DSA":[87,105,171],"algorithm":[88,127,186],"such":[89],"SU\u2019s":[92],"long-term":[93],"throughput":[94],"maximized.":[96],"To":[97,156],"aim,":[99],"show":[101,182],"theoretically":[102],"problem":[106,113],"can":[107],"be":[108],"formulated":[109],"single-agent":[112],"with":[114],"single":[116],"policy":[117,134,139,189],"access,":[122,196],"propose":[124],"novel":[126],"learns":[129,174,187],"optimal":[132,137],"via":[140],"deep":[141,169],"Q-learning,":[142],"referred":[145],"Double":[148],"Deep":[149],"Q-network":[150],"Sensing":[152],"Access":[154],"(DDQSA).":[155],"best":[158],"our":[160],"knowledge,":[161],"first":[165],"instance":[166],"Q-learning-based":[170],"algorithm,":[172],"policies.":[179],"results":[181],"DDQSA":[185],"implements":[191],"achieves":[198],"significantly":[199],"better":[200],"performance":[201],"compared":[202],"existing":[204],"approaches.":[205]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
