{"id":"https://openalex.org/W7154624736","doi":"https://doi.org/10.1016/j.array.2026.100827","title":"Novel Q-learning-based neighborhood discovery algorithm for directed antennas","display_name":"Novel Q-learning-based neighborhood discovery algorithm for directed antennas","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154624736","doi":"https://doi.org/10.1016/j.array.2026.100827"},"language":"en","primary_location":{"id":"doi:10.1016/j.array.2026.100827","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100827","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.array.2026.100827","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043089902","display_name":"Kemal Ihsan Kilic","orcid":"https://orcid.org/0000-0002-6277-4867"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kemal Ihsan Kilic","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6277-4867","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050189449","display_name":"Aur\u00e9lien Desoeuvres","orcid":"https://orcid.org/0000-0003-1556-0513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aur\u00e9lien Desoeuvres","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1556-0513","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113246960","display_name":"Frederik Christensen","orcid":"https://orcid.org/0009-0002-2410-8852"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frederik Christensen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0002-2410-8852","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031924115","display_name":"Deniz Kenan K\u0131l\u0131\u00e7","orcid":"https://orcid.org/0000-0002-6996-3425"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deniz Kenan Kilic","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6996-3425","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133793369","display_name":"Peter Nielsen","orcid":"https://orcid.org/0000-0002-4882-7942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Nielsen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4882-7942","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043089902"],"corresponding_institution_ids":[],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89509937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"100827","last_page":"100827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.2535000145435333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.2535000145435333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10069","display_name":"Antenna Design and Analysis","score":0.1534000039100647,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11946","display_name":"Antenna Design and Optimization","score":0.11649999767541885,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/key","display_name":"Key (lock)","score":0.32659998536109924},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.28119999170303345},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.2702000141143799},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.25429999828338623},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.2493000030517578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5475000143051147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5271000266075134},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29809999465942383},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25429999828338623},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2493000030517578},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.24500000476837158}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.array.2026.100827","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100827","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/fc239287-d9a5-406a-a0db-65ea4643783c","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/fc239287-d9a5-406a-a0db-65ea4643783c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kilic, K I, Desoeuvres, A, Christensen, F, Kilic, D K & Nielsen, P 2026, 'Novel Q-learning-based neighborhood discovery algorithm for directed antennas', Array. https://doi.org/10.1016/j.array.2026.100827","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1016/j.array.2026.100827","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100827","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5089185833930969}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1842248190","https://openalex.org/W2013209511","https://openalex.org/W2087037400","https://openalex.org/W2096469168","https://openalex.org/W2111892549","https://openalex.org/W2112802532","https://openalex.org/W2117726420","https://openalex.org/W2164769148","https://openalex.org/W2209197416","https://openalex.org/W3101503627","https://openalex.org/W3166203248","https://openalex.org/W3167339267","https://openalex.org/W3173208018","https://openalex.org/W4210865425","https://openalex.org/W4378983276","https://openalex.org/W4384067505","https://openalex.org/W4386276174","https://openalex.org/W4396691278","https://openalex.org/W4401990369","https://openalex.org/W4402047866","https://openalex.org/W4403680699","https://openalex.org/W4404392796","https://openalex.org/W4410581793","https://openalex.org/W4416373663"],"related_works":[],"abstract_inverted_index":{"Directed":[0],"antennas":[1],"offer":[2],"significant":[3],"energy":[4],"savings,":[5],"yet":[6],"the":[7,24,53,92,101,123,154,158],"neighbor-discovery":[8,38],"phase":[9],"requires":[10],"nontrivial":[11],"algorithms.":[12],"Using":[13],"graph-theoretic":[14],"analysis,":[15],"we":[16,45,71],"establish":[17],"theoretical":[18],"lower":[19],"and":[20,40,68,79,107,115,128,142,176],"upper":[21],"bounds":[22],"on":[23,58,140],"time":[25,93,133],"required":[26,94],"to":[27,95,138,151],"reach":[28,96],"minimally":[29],"connected":[30],"antenna":[31],"topologies.":[32,119],"We":[33,99],"develop":[34],"a":[35,63,73,88,164],"Q-learning-based":[36],"(QL)":[37],"algorithm":[39],"introduce":[41,72],"two":[42],"enhancements.":[43],"First,":[44],"propose":[46],"an":[47],"adaptive":[48,129],"mechanism":[49],"that":[50,77,122],"dynamically":[51],"updates":[52],"exploration":[54,67],"rate":[55],"<br/>\u025b":[56],"based":[57],"changes":[59],"in":[60,87,181],"Q-tables,":[61],"enabling":[62],"principled":[64],"balance":[65],"between":[66],"exploitation.":[69],"Second,":[70],"temporal":[74],"sector-pruning":[75],"heuristic":[76],"penalizes":[78],"prunes":[80],"unfruitful":[81],"sector":[82],"pairs.":[83],"Experiments":[84],"are":[85],"performed":[86],"custom":[89],"simulator,":[90],"measuring":[91],"minimal":[97],"connectivity.":[98],"compare":[100],"proposed":[102],"methods":[103],"against":[104],"random":[105],"walk":[106],"baseline":[108,148],"QL":[109,130,139,149,173,178],"across":[110],"regular,":[111],"dense":[112,143],"(King":[113],"Grid),":[114],"irregular,":[116],"sparse":[117,146],"(Random)":[118],"Results":[120],"show":[121],"synergistic":[124,159,168],"integration":[125],"of":[126],"pruning":[127],"reduces":[131],"discovery":[132,182],"by":[134,174,179],"about":[135],"one-third":[136],"relative":[137],"regular":[141],"graphs.":[144],"On":[145],"graphs,":[147],"fails":[150],"complete":[152],"within":[153],"threshold":[155],"time,":[156],"while":[157],"scheme":[160],"achieves":[161],"at":[162],"least":[163],"tenfold":[165],"speed-up.":[166],"The":[167],"method":[169],"further":[170],"outperforms":[171],"pruning-only":[172],"30%\u201386%":[175],"adaptive-only":[177],"7%\u201316%":[180],"time.":[183]},"counts_by_year":[],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2026-04-17T00:00:00"}
