{"id":"https://openalex.org/W2931080162","doi":"https://doi.org/10.1109/tccn.2019.2908860","title":"Sum Throughput Maximization in a Cognitive Multiple Access Channel With Cooperative Spectrum Sensing and Energy Harvesting","display_name":"Sum Throughput Maximization in a Cognitive Multiple Access Channel With Cooperative Spectrum Sensing and Energy Harvesting","publication_year":2019,"publication_date":"2019-04-02","ids":{"openalex":"https://openalex.org/W2931080162","doi":"https://doi.org/10.1109/tccn.2019.2908860","mag":"2931080162"},"language":"en","primary_location":{"id":"doi:10.1109/tccn.2019.2908860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2019.2908860","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/A5068796790","display_name":"Sinchan Biswas","orcid":"https://orcid.org/0000-0001-5219-8248"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sinchan Biswas","raw_affiliation_strings":["Division of Signals and Systems, Uppsala University, Uppsala, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-5219-8248","affiliations":[{"raw_affiliation_string":"Division of Signals and Systems, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057431380","display_name":"Subhrakanti Dey","orcid":"https://orcid.org/0000-0003-0762-5743"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Subhrakanti Dey","raw_affiliation_strings":["Division of Signals and Systems, Uppsala University, Uppsala, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Signals and Systems, Uppsala University, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040978730","display_name":"Amirpasha Shirazinia","orcid":null},"institutions":[{"id":"https://openalex.org/I1307248880","display_name":"Swedish National Bank","ror":"https://ror.org/01n28jn45","country_code":"SE","type":"other","lineage":["https://openalex.org/I1307248880"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Amirpasha Shirazinia","raw_affiliation_strings":["Analytics and AI Group, Swedbank, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Analytics and AI Group, Swedbank, Stockholm, Sweden","institution_ids":["https://openalex.org/I1307248880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0289,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87509763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"5","issue":"2","first_page":"382","last_page":"399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":1.0,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":1.0,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","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/T10148","display_name":"Advanced MIMO Systems Optimization","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7154449820518494},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6809270977973938},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.6706382036209106},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.6235821843147278},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.49898791313171387},{"id":"https://openalex.org/keywords/karush\u2013kuhn\u2013tucker-conditions","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","score":0.4903126060962677},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4868447184562683},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.462630957365036},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.45326846837997437},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.45115506649017334},{"id":"https://openalex.org/keywords/utility-maximization-problem","display_name":"Utility maximization problem","score":0.4216206669807434},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4206623435020447},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.4202733337879181},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.368926465511322},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2892395555973053},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.27212125062942505},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.19226044416427612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17201825976371765},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10314619541168213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7154449820518494},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6809270977973938},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.6706382036209106},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.6235821843147278},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.49898791313171387},{"id":"https://openalex.org/C50454189","wikidata":"https://www.wikidata.org/wiki/Q2075125","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","level":2,"score":0.4903126060962677},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4868447184562683},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.462630957365036},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.45326846837997437},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.45115506649017334},{"id":"https://openalex.org/C2779044140","wikidata":"https://www.wikidata.org/wiki/Q3274096","display_name":"Utility maximization problem","level":3,"score":0.4216206669807434},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4206623435020447},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.4202733337879181},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.368926465511322},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2892395555973053},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.27212125062942505},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.19226044416427612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17201825976371765},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10314619541168213},{"id":"https://openalex.org/C2985793214","wikidata":"https://www.wikidata.org/wiki/Q3274096","display_name":"Utility maximization","level":2,"score":0.0},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tccn.2019.2908860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tccn.2019.2908860","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"},{"id":"pmh:oai:mural.maynoothuniversity.ie:14076","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401432","display_name":"Maynooth University ePrints and eTheses Archive (Maynooth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157286207","host_organization_name":"National University of Ireland, Maynooth","host_organization_lineage":["https://openalex.org/I157286207"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G7771798424","display_name":null,"funder_award_id":"2017-04053","funder_id":"https://openalex.org/F4320322581","funder_display_name":"Vetenskapsr\u00e5det"}],"funders":[{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"},{"id":"https://openalex.org/F4320324119","display_name":"Uppsala Universitet","ror":"https://ror.org/048a87296"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W595252221","https://openalex.org/W603729728","https://openalex.org/W1969461599","https://openalex.org/W1976413466","https://openalex.org/W1977682786","https://openalex.org/W1979096885","https://openalex.org/W1992034250","https://openalex.org/W2005503805","https://openalex.org/W2005687897","https://openalex.org/W2035229442","https://openalex.org/W2044229536","https://openalex.org/W2055183411","https://openalex.org/W2058705882","https://openalex.org/W2071707134","https://openalex.org/W2079135578","https://openalex.org/W2084436032","https://openalex.org/W2084515443","https://openalex.org/W2098432798","https://openalex.org/W2101840010","https://openalex.org/W2105678534","https://openalex.org/W2106226839","https://openalex.org/W2113831696","https://openalex.org/W2120135514","https://openalex.org/W2120176900","https://openalex.org/W2122489958","https://openalex.org/W2128434666","https://openalex.org/W2134790395","https://openalex.org/W2141860157","https://openalex.org/W2156043963","https://openalex.org/W2168595116","https://openalex.org/W2171501928","https://openalex.org/W2171937736","https://openalex.org/W2340718617","https://openalex.org/W2472955562","https://openalex.org/W2511738082","https://openalex.org/W2520448856","https://openalex.org/W2534367476","https://openalex.org/W2562839110","https://openalex.org/W2577566690","https://openalex.org/W2585333558","https://openalex.org/W2593085976","https://openalex.org/W2596022745","https://openalex.org/W2610335499","https://openalex.org/W2613304233","https://openalex.org/W2620378547","https://openalex.org/W2782935052","https://openalex.org/W2791981360","https://openalex.org/W2883452009","https://openalex.org/W2895674599","https://openalex.org/W3100343705","https://openalex.org/W3101865544","https://openalex.org/W3102680883","https://openalex.org/W3104952626","https://openalex.org/W4238484605","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2801917014","https://openalex.org/W2046358630","https://openalex.org/W2900428495","https://openalex.org/W2358522314","https://openalex.org/W2141915025","https://openalex.org/W2558107934","https://openalex.org/W2296639587","https://openalex.org/W2096380022","https://openalex.org/W2949938480","https://openalex.org/W2613892346"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,123],"the":[4,20,44,51,66,77,92,97,102,107,124,144,149,156,169,196,224,237,240,245,250],"problem":[5,46,82,116,160,178],"of":[6,33,50,148,217,227,239,244,268],"sensing":[7,29,113],"throughput":[8],"optimization":[9,45,81,193],"in":[10,26],"a":[11,48,56,84,181,209,215,259],"fading":[12],"multiple":[13],"access":[14],"cognitive":[15],"radio":[16],"(CR)":[17],"network,":[18],"where":[19],"secondary":[21],"user":[22],"(SU)":[23],"transmitters":[24],"participate":[25],"cooperative":[27],"spectrum":[28,98],"and":[30,36,72,101,112,138,142,152,180],"are":[31,220,232],"capable":[32],"harvesting":[34],"energy":[35,38,73,134,251,265],"sharing":[37,252],"with":[39,189,202],"each":[40],"other.":[41],"We":[42],"formulate":[43],"as":[47,106],"maximization":[49],"expected":[52],"achievable":[53],"sum-rate":[54],"over":[55,168],"finite":[57,153,203],"horizon,":[58],"subject":[59],"to":[60,95,222,235],"an":[61,165,173,190],"average":[62,263],"interference":[63],"constraint":[64],"at":[65,76],"primary":[67],"receiver,":[68],"peak":[69],"power":[70],"constraints,":[71],"causality":[74],"constraints":[75],"SU":[78],"transmitters.":[79],"The":[80,115,199],"is":[83,117,205,253,258],"non-convex,":[85],"mixed":[86],"integer":[87],"non-linear":[88],"program":[89],"(MINLP)":[90],"involving":[91],"binary":[93],"action":[94],"sense":[96],"or":[99,172],"not,":[100],"continuous":[103,197],"variables,":[104],"such":[105],"transmission":[108],"power,":[109],"shared":[110],"energy,":[111],"time.":[114],"analyzed":[118],"under":[119],"two":[120],"different":[121,269],"assumptions":[122],"available":[125],"information":[126,132,136],"pattern:":[127],"1)":[128],"non-causal":[129],"channel":[130],"state":[131,135],"(CSI),":[133],"(ESI),":[137],"infinite":[139],"battery":[140,204],"capacity":[141],"2)":[143],"more":[145,254],"realistic":[146],"scenario":[147],"causal":[150,200],"CSI/ESI":[151],"battery.":[154],"In":[155],"non-casual":[157],"case,":[158],"this":[159],"can":[161],"be":[162],"solved":[163,207],"by":[164],"exhaustive":[166],"search":[167],"decision":[170],"variable":[171],"MINLP":[174],"solver":[175],"for":[176,185,195],"smaller":[177],"dimensions,":[179],"novel":[182],"heuristic":[183],"policy":[184],"larger":[186],"problems,":[187],"combined":[188],"iterative":[191],"alternative":[192],"method":[194],"variables.":[198],"case":[201],"optimally":[206],"using":[208],"dynamic":[210],"programming":[211],"(DP)":[212],"methodology,":[213],"whereas":[214],"number":[216],"sub-optimal":[218],"algorithms":[219],"proposed":[221,241],"reduce":[223],"computational":[225],"complexity":[226],"DP.":[228],"Extensive":[229],"numerical":[230],"simulations":[231],"carried":[233],"out":[234],"illustrate":[236],"performance":[238],"algorithms.":[242],"One":[243],"main":[246],"findings":[247],"indicates":[248],"that":[249],"beneficial":[255],"when":[256],"there":[257],"significant":[260],"asymmetry":[261],"between":[262],"harvested":[264],"levels/channel":[266],"gains":[267],"SUs.":[270]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}
