{"id":"https://openalex.org/W4306952706","doi":"https://doi.org/10.1145/3538641.3561484","title":"Deep reinforcement learning based secondary user transmit power control for underlay cognitive radio networks","display_name":"Deep reinforcement learning based secondary user transmit power control for underlay cognitive radio networks","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4306952706","doi":"https://doi.org/10.1145/3538641.3561484"},"language":"en","primary_location":{"id":"doi:10.1145/3538641.3561484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3538641.3561484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Conference on Research in Adaptive and Convergent Systems","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/A5001773025","display_name":"Kouhei Katou","orcid":null},"institutions":[{"id":"https://openalex.org/I6178835","display_name":"Ibaraki University","ror":"https://ror.org/00sjd5653","country_code":"JP","type":"education","lineage":["https://openalex.org/I6178835"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kouhei Katou","raw_affiliation_strings":["Ibaraki University, Japan"],"affiliations":[{"raw_affiliation_string":"Ibaraki University, Japan","institution_ids":["https://openalex.org/I6178835"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381807","display_name":"Xiaoyan Wang","orcid":"https://orcid.org/0000-0003-1240-4953"},"institutions":[{"id":"https://openalex.org/I6178835","display_name":"Ibaraki University","ror":"https://ror.org/00sjd5653","country_code":"JP","type":"education","lineage":["https://openalex.org/I6178835"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaoyan Wang","raw_affiliation_strings":["Ibaraki University, Japan"],"affiliations":[{"raw_affiliation_string":"Ibaraki University, Japan","institution_ids":["https://openalex.org/I6178835"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047899035","display_name":"Masahiro Umehira","orcid":"https://orcid.org/0000-0002-0873-3474"},"institutions":[{"id":"https://openalex.org/I119031078","display_name":"Nanzan University","ror":"https://ror.org/042b6j696","country_code":"JP","type":"education","lineage":["https://openalex.org/I119031078"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Umehira","raw_affiliation_strings":["Nanzan University, Japan"],"affiliations":[{"raw_affiliation_string":"Nanzan University, Japan","institution_ids":["https://openalex.org/I119031078"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037098061","display_name":"Yusheng Ji","orcid":"https://orcid.org/0000-0003-4364-8491"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusheng Ji","raw_affiliation_strings":["National Institute of Informatics, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001773025"],"corresponding_institution_ids":["https://openalex.org/I6178835"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13161166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"32"},"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":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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9983999729156494,"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/underlay","display_name":"Underlay","score":0.9738320708274841},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.8453729152679443},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7168866395950317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7166403532028198},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.6768326759338379},{"id":"https://openalex.org/keywords/cognitive-network","display_name":"Cognitive network","score":0.6559292078018188},{"id":"https://openalex.org/keywords/power-control","display_name":"Power control","score":0.6274827718734741},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5756509304046631},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5574241876602173},{"id":"https://openalex.org/keywords/spectral-efficiency","display_name":"Spectral efficiency","score":0.549359917640686},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5202727913856506},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4332490861415863},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.3769753873348236},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.30003368854522705},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.25913429260253906},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16923779249191284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15465235710144043},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.06722623109817505}],"concepts":[{"id":"https://openalex.org/C2777679929","wikidata":"https://www.wikidata.org/wiki/Q7883709","display_name":"Underlay","level":3,"score":0.9738320708274841},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8453729152679443},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7168866395950317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166403532028198},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.6768326759338379},{"id":"https://openalex.org/C32542511","wikidata":"https://www.wikidata.org/wiki/Q5141225","display_name":"Cognitive network","level":4,"score":0.6559292078018188},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.6274827718734741},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5756509304046631},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5574241876602173},{"id":"https://openalex.org/C137246740","wikidata":"https://www.wikidata.org/wiki/Q583970","display_name":"Spectral efficiency","level":3,"score":0.549359917640686},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5202727913856506},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4332490861415863},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.3769753873348236},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.30003368854522705},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.25913429260253906},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16923779249191284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15465235710144043},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.06722623109817505},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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:10.1145/3538641.3561484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3538641.3561484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Conference on Research in Adaptive and Convergent Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W333771347","https://openalex.org/W2108789935","https://openalex.org/W2145339207","https://openalex.org/W2168078104","https://openalex.org/W3013525469","https://openalex.org/W3111512940","https://openalex.org/W3136355494","https://openalex.org/W3167119382","https://openalex.org/W4293211534"],"related_works":["https://openalex.org/W2157275108","https://openalex.org/W3111557463","https://openalex.org/W2952703527","https://openalex.org/W2131684146","https://openalex.org/W2885238370","https://openalex.org/W4229859351","https://openalex.org/W2570831710","https://openalex.org/W2163043527","https://openalex.org/W1987882110","https://openalex.org/W4291246656"],"abstract_inverted_index":{"To":[0],"improve":[1],"the":[2,26,44,58,89,98,102,110,124],"spectral":[3,104],"utilization":[4,105],"efficiency,":[5],"underlay":[6,18,52,80],"cognitive":[7,53,81],"radio":[8,54,82],"network":[9,59],"has":[10],"been":[11],"extensively":[12],"investigated":[13],"in":[14,127],"recent":[15],"years.":[16],"The":[17,38,84,121],"paradigm":[19],"allows":[20],"secondary":[21,45,73,95],"users":[22],"to":[23,30],"operate":[24],"if":[25],"interference":[27,130],"they":[28],"cause":[29],"primary":[31,119],"user":[32,46,74],"is":[33,47,61,134],"below":[34],"a":[35,68,93],"given":[36],"threshold.":[37],"transmit":[39,75,90],"power":[40,76,91,116],"control":[41,77],"problem":[42],"of":[43,92,100,123,129],"critical":[48],"and":[49,107,132],"challenging":[50],"for":[51,79,118],"networks,":[55],"especially":[56],"when":[57],"scenario":[60],"dynamic.":[62],"In":[63],"this":[64],"work,":[65],"we":[66],"propose":[67],"deep":[69],"reinforcement":[70],"learning":[71],"based":[72],"scheme":[78,86,126],"networks.":[83],"proposed":[85,125],"dynamically":[87],"controls":[88],"mobile":[94],"user,":[96],"with":[97],"purpose":[99],"improving":[101],"system's":[103],"efficiency":[106],"meanwhile":[108],"satisfying":[109],"required":[111],"SINR":[112],"(signal-to-interference":[113],"plus":[114],"noise":[115],"ratio)":[117],"users.":[120],"performance":[122],"terms":[128],"ratio":[131],"throughput":[133],"validated":[135],"by":[136],"extensive":[137],"simulations.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
