{"id":"https://openalex.org/W4415194306","doi":"https://doi.org/10.1109/wcnc65185.2026.11555058","title":"Neural Beam Field for Spatial Beam RSRP Prediction","display_name":"Neural Beam Field for Spatial Beam RSRP Prediction","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W4415194306","doi":"https://doi.org/10.1109/wcnc65185.2026.11555058"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc65185.2026.11555058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc65185.2026.11555058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.06956","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Keqiang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqiang Guo","raw_affiliation_strings":["School of Informatics, Xiamen University (XMU),China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University (XMU),China","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040842159","display_name":"Yi Chen Zhong","orcid":"https://orcid.org/0000-0002-5156-3984"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuheng Zhong","raw_affiliation_strings":["School of Informatics, Xiamen University (XMU),China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University (XMU),China","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084024908","display_name":"Xin Tong","orcid":"https://orcid.org/0000-0003-1340-0823"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tong","raw_affiliation_strings":["School of Informatics, Xiamen University (XMU),China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University (XMU),China","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052643594","display_name":"Jiangbin Lyu","orcid":"https://orcid.org/0000-0001-5609-7647"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]},{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangbin Lyu","raw_affiliation_strings":["School of Informatics, Xiamen University (XMU),China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University (XMU),China","institution_ids":["https://openalex.org/I191208505","https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422093","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-8171-6670"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["National University of Singapore,Department of Electrical and Computer Engineering,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Electrical and Computer Engineering,Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12537","display_name":"Flow Measurement and Analysis","score":0.7835999727249146,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12537","display_name":"Flow Measurement and Analysis","score":0.7835999727249146,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.7752000093460083,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.7712000012397766,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/overhead","display_name":"Overhead (engineering)","score":0.6000000238418579},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5615000128746033},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5564000010490417},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.539900004863739},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5315999984741211},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5205000042915344},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.504800021648407},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.4927999973297119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6097999811172485},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6000000238418579},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5615000128746033},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5564000010490417},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.539900004863739},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5315999984741211},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5205000042915344},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.504800021648407},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.4927999973297119},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48750001192092896},{"id":"https://openalex.org/C168834538","wikidata":"https://www.wikidata.org/wiki/Q3705329","display_name":"Beam (structure)","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4068000018596649},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.40610000491142273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3799999952316284},{"id":"https://openalex.org/C202311505","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.375},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.33739998936653137},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3314000070095062},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30140000581741333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2955000102519989},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2630000114440918},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26249998807907104},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2558000087738037}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wcnc65185.2026.11555058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc65185.2026.11555058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.06956","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.06956","pdf_url":"https://arxiv.org/pdf/2508.06956","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2508.06956","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.06956","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.06956","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.06956","pdf_url":"https://arxiv.org/pdf/2508.06956","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5209845845","display_name":null,"funder_award_id":"62571461","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurately":[0],"predicting":[1],"beam-level":[2],"reference":[3],"signal":[4],"received":[5],"power":[6],"(RSRP)":[7],"is":[8,52],"essential":[9],"for":[10,40,139,146,190],"beam":[11,45,120,192],"management":[12,193],"in":[13,167,194],"dense":[14,196],"multi-user":[15],"wireless":[16,197],"networks,":[17],"yet":[18],"challenging":[19],"due":[20],"to":[21,49],"high":[22],"measurement":[23],"overhead":[24],"and":[25,42,88,112,126,142,163,172,186],"fast":[26],"channel":[27,159],"variations.":[28],"This":[29,71],"paper":[30],"proposes":[31],"Neural":[32],"Beam":[33],"Field":[34],"(NBF),":[35],"a":[36,62,95,99,115,131,176,184],"hybrid":[37],"neural-physical":[38],"framework":[39,182],"efficient":[41],"interpretable":[43],"spatial":[44],"RSRP":[46,121,144],"prediction.":[47],"Central":[48],"our":[50],"approach":[51,72],"the":[53,56,67,74,82,106],"introduction":[54],"of":[55],"Multi-path":[57],"Conditional":[58],"Power":[59],"Profile":[60],"(MCPP),":[61],"learnable":[63],"physical":[64],"intermediary":[65],"representing":[66],"site-specific":[68,85],"propagation":[69],"environment.":[70],"decouples":[73],"environment":[75],"from":[76,108],"specific":[77],"antenna/beam":[78],"configurations,":[79],"which":[80],"helps":[81],"model":[83,178],"learn":[84],"multipath":[86],"features":[87],"enhances":[89],"its":[90],"generalization":[91],"capability.":[92],"We":[93],"adopt":[94],"decoupled":[96],"``blackbox-whitebox\"":[97],"design:":[98],"Transformer-based":[100],"deep":[101],"neural":[102],"network":[103],"(DNN)":[104],"learns":[105],"MCPP":[107],"sparse":[109],"user":[110],"measurements":[111],"positions,":[113],"while":[114,174],"physics-inspired":[116],"module":[117],"analytically":[118],"infers":[119],"statistics.":[122],"To":[123],"improve":[124],"convergence":[125],"adaptivity,":[127],"we":[128],"further":[129],"introduce":[130],"Pretrain-and-Calibrate":[132],"(PaC)":[133],"strategy":[134],"that":[135,153],"leverages":[136],"ray-tracing":[137],"priors":[138],"physics-grounded":[140],"pretraining":[141],"then":[143],"data":[145],"on-site":[147],"calibration.":[148],"Extensive":[149],"simulation":[150],"results":[151],"demonstrate":[152],"NBF":[154],"significantly":[155],"outperforms":[156],"conventional":[157],"table-based":[158],"knowledge":[160],"maps":[161],"(CKMs)":[162],"pure":[164],"blackbox":[165],"DNNs":[166],"prediction":[168],"accuracy,":[169],"training":[170],"efficiency,":[171],"generalization,":[173],"maintaining":[175],"compact":[177],"size.":[179],"The":[180],"proposed":[181],"offers":[183],"scalable":[185],"physically":[187],"grounded":[188],"solution":[189],"intelligent":[191],"next-generation":[195],"networks.":[198]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-15T00:00:00"}