{"id":"https://openalex.org/W4416650077","doi":"https://doi.org/10.1109/tcomm.2025.3637068","title":"Machine Learning-Based Adaptive Codebook Design and Beamforming for Near-Field Communications","display_name":"Machine Learning-Based Adaptive Codebook Design and Beamforming for Near-Field Communications","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W4416650077","doi":"https://doi.org/10.1109/tcomm.2025.3637068"},"language":null,"primary_location":{"id":"doi:10.1109/tcomm.2025.3637068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3637068","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","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/A5044232220","display_name":"Mianyi Zhang","orcid":"https://orcid.org/0000-0002-5224-7350"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mianyi Zhang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5224-7350","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034376590","display_name":"Yunlong Cai","orcid":"https://orcid.org/0000-0001-9418-1700"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunlong Cai","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9418-1700","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079187892","display_name":"Guanding Yu","orcid":"https://orcid.org/0000-0003-1354-2557"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanding Yu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1354-2557","affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032454458","display_name":"Jiaqi Xu","orcid":"https://orcid.org/0000-0002-3539-181X"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaqi Xu","raw_affiliation_strings":["Center for Pervasive Communications and Computing, University of California, Irvine, Irvine, CA, USA","Center for Pervasive Communications and Computing, University of California, Irvine, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3539-181X","affiliations":[{"raw_affiliation_string":"Center for Pervasive Communications and Computing, University of California, Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"Center for Pervasive Communications and Computing, University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027055000","display_name":"A. Lee Swindlehurst","orcid":"https://orcid.org/0000-0002-0521-3107"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Lee Swindlehurst","raw_affiliation_strings":["Center for Pervasive Communications and Computing, University of California, Irvine, Irvine, CA, USA","Center for Pervasive Communications and Computing, University of California, Irvine, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0521-3107","affiliations":[{"raw_affiliation_string":"Center for Pervasive Communications and Computing, University of California, Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"Center for Pervasive Communications and Computing, University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31103693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1762","last_page":"1776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.4350999891757965,"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":0.4350999891757965,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.2029999941587448,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.13519999384880066,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/codebook","display_name":"Codebook","score":0.7583000063896179},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.695900022983551},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5281000137329102},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46619999408721924},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4334999918937683},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4307999908924103},{"id":"https://openalex.org/keywords/precoding","display_name":"Precoding","score":0.41100001335144043},{"id":"https://openalex.org/keywords/smart-antenna","display_name":"Smart antenna","score":0.3686000108718872}],"concepts":[{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.7583000063896179},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.695900022983551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6341999769210815},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5281000137329102},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.49410000443458557},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.48350000381469727},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46619999408721924},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4334999918937683},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.41100001335144043},{"id":"https://openalex.org/C143635782","wikidata":"https://www.wikidata.org/wiki/Q1187868","display_name":"Smart antenna","level":4,"score":0.3686000108718872},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3686000108718872},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3018999993801117},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29649999737739563},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.2831000089645386},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.2806999981403351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.26919999718666077},{"id":"https://openalex.org/C62191587","wikidata":"https://www.wikidata.org/wiki/Q4771249","display_name":"Antenna array","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.25940001010894775}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcomm.2025.3637068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3637068","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1625024775","display_name":null,"funder_award_id":"62571477","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332588","display_name":"Shanghai Key Laboratory of Intelligent Information Processing","ror":"https://ror.org/013q1eq08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1970830346","https://openalex.org/W2027711878","https://openalex.org/W2067111814","https://openalex.org/W2147601077","https://openalex.org/W2168311839","https://openalex.org/W2195693430","https://openalex.org/W2272804037","https://openalex.org/W2622044750","https://openalex.org/W2746553466","https://openalex.org/W2796047239","https://openalex.org/W2796456238","https://openalex.org/W2905885786","https://openalex.org/W2963673880","https://openalex.org/W2964005248","https://openalex.org/W2964468371","https://openalex.org/W2981598692","https://openalex.org/W3002159761","https://openalex.org/W3011730771","https://openalex.org/W3037339607","https://openalex.org/W3091617927","https://openalex.org/W3100120649","https://openalex.org/W3133144456","https://openalex.org/W3159402647","https://openalex.org/W3163297254","https://openalex.org/W3167193327","https://openalex.org/W3167225635","https://openalex.org/W3193181629","https://openalex.org/W3196757423","https://openalex.org/W4211052011","https://openalex.org/W4226370247","https://openalex.org/W4254268944","https://openalex.org/W4285280475","https://openalex.org/W4300747853","https://openalex.org/W4311414687","https://openalex.org/W4312287742","https://openalex.org/W4312288512","https://openalex.org/W4312614302","https://openalex.org/W4324125657","https://openalex.org/W4366148231","https://openalex.org/W4378194759","https://openalex.org/W4383113472","https://openalex.org/W4385194756","https://openalex.org/W4385299750","https://openalex.org/W4385885073","https://openalex.org/W4386472851","https://openalex.org/W4387883676","https://openalex.org/W4391742914","https://openalex.org/W4392152406","https://openalex.org/W4394744448","https://openalex.org/W4394897019","https://openalex.org/W4396680560","https://openalex.org/W4399602198","https://openalex.org/W4400351801","https://openalex.org/W4401808198","https://openalex.org/W4414406134"],"related_works":[],"abstract_inverted_index":{"Extremely":[0],"large-scale":[1],"antenna":[2],"arrays":[3],"(XL-arrays)":[4],"and":[5,22,60,75,142,150,194],"ultra-high":[6],"frequencies":[7],"are":[8],"two":[9,85],"fundamental":[10],"technologies":[11],"for":[12,98,139],"future":[13],"sixth-generation":[14],"(6G)":[15],"wireless":[16],"networks,":[17],"providing":[18],"enhanced":[19],"system":[20,51,67],"capacity":[21],"substantial":[23],"bandwidth":[24],"expansion.":[25],"To":[26,78],"fully":[27],"leverage":[28],"these":[29],"technological":[30],"advancements,":[31],"conventional":[32,127,189],"far-field":[33],"models":[34,97],"must":[35],"be":[36],"replaced":[37],"by":[38,94],"more":[39],"accurate":[40],"near-field":[41,49,116,199],"spherical-wave":[42],"propagation":[43],"models.":[44],"This":[45],"paper":[46],"investigates":[47],"a":[48,53,109,134,160,173],"communication":[50],"comprising":[52],"hybrid":[54],"analog-digital":[55],"beamforming":[56],"base":[57],"station":[58],"(BS)":[59],"multiple":[61],"mobile":[62],"users,":[63],"aiming":[64],"to":[65,114,119],"maximize":[66],"sum-rate":[68],"through":[69,172],"optimized":[70],"codebook":[71],"design,":[72],"beam":[73,140,157],"selection,":[74],"digital":[76,143,170],"precoding.":[77],"accommodate":[79],"dynamic":[80,198],"user":[81,121],"distributions,":[82,122],"we":[83],"propose":[84],"model-agnostic":[86],"meta-learning":[87],"(MAML)-based":[88],"frameworks":[89,186],"that":[90,183],"enable":[91],"prompt":[92],"adaptation":[93],"learning":[95,148],"well-initialized":[96],"fine":[99],"tuning.":[100],"The":[101,130,153],"first":[102],"framework":[103,132],"integrates":[104],"the":[105,120,124,165,184],"MAML":[106],"method":[107],"with":[108],"deep":[110,146,151],"neural":[111,136],"network":[112,137],"(DNN)":[113],"design":[115],"codebooks":[117],"tailored":[118],"addressing":[123],"limitations":[125],"of":[126],"uniform":[128],"codebooks.":[129],"second":[131],"employs":[133],"joint":[135],"(NN)":[138],"selection":[141,158],"precoding,":[144],"combining":[145],"reinforcement":[147],"(DRL)":[149],"unfolding.":[152],"DRL":[154],"NN":[155,167],"formulates":[156],"as":[159],"Markov":[161],"Decision":[162],"Process,":[163],"while":[164],"deep-unfolding":[166],"approximates":[168],"optimal":[169],"precoding":[171],"lightweight":[174],"iterative":[175],"algorithm":[176],"without":[177],"matrix":[178],"inversion.":[179],"Simulation":[180],"results":[181],"show":[182],"proposed":[185],"significantly":[187],"outperform":[188],"methods,":[190],"achieving":[191],"superior":[192],"generalization":[193],"overall":[195],"performance":[196],"in":[197],"scenarios.":[200]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-25T00:00:00"}
