{"id":"https://openalex.org/W4414647530","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174450","title":"Deep Learning-Based Location to Precoding Mapping in Massive MIMO Systems","display_name":"Deep Learning-Based Location to Precoding Mapping in Massive MIMO Systems","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4414647530","doi":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174450"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2025-spring65109.2025.11174450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","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/A5101498994","display_name":"HE Fen","orcid":"https://orcid.org/0000-0001-5547-8771"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fen He","raw_affiliation_strings":["School of Artificial intelligence, Beijing University of Posts and Telecommunications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial intelligence, Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101502584","display_name":"Haozhen Li","orcid":"https://orcid.org/0000-0003-2554-4218"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haozhen Li","raw_affiliation_strings":["School of Artificial intelligence, Beijing University of Posts and Telecommunications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial intelligence, Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018769767","display_name":"Xinyu Gu","orcid":"https://orcid.org/0000-0001-6762-7463"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Gu","raw_affiliation_strings":["School of Artificial intelligence, Beijing University of Posts and Telecommunications,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial intelligence, Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100405183","display_name":"Zhenyu Liu","orcid":"https://orcid.org/0000-0003-0251-3267"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhenyu Liu","raw_affiliation_strings":["Institute for Communication Systems, University of Surrey,Guildford,United Kingdom"],"affiliations":[{"raw_affiliation_string":"Institute for Communication Systems, University of Surrey,Guildford,United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102933609","display_name":"Liyang Lu","orcid":"https://orcid.org/0000-0001-5003-7459"},"institutions":[{"id":"https://openalex.org/I4210126311","display_name":"Beijing Transportation Research Center","ror":"https://ror.org/03pydk223","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyang Lu","raw_affiliation_strings":["State Key Lab of Intelligent Transportation System,Beijing,China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Intelligent Transportation System,Beijing,China","institution_ids":["https://openalex.org/I4210126311"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101498994"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2591742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9951000213623047,"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":0.9951000213623047,"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/T11946","display_name":"Antenna Design and Optimization","score":0.9937000274658203,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9890000224113464,"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/precoding","display_name":"Precoding","score":0.8648999929428101},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5760999917984009},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5293999910354614},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49549999833106995},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.4788999855518341},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.47600001096725464},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.3937000036239624},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3928000032901764},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.3878999948501587}],"concepts":[{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.8648999929428101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7721999883651733},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5760999917984009},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5293999910354614},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.4788999855518341},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.47600001096725464},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3928000032901764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39239999651908875},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3833000063896179},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.36550000309944153},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2883000075817108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26910001039505005},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2671999931335449},{"id":"https://openalex.org/C155437304","wikidata":"https://www.wikidata.org/wiki/Q8069444","display_name":"Zero-forcing precoding","level":5,"score":0.2578999996185303},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2025-spring65109.2025.11174450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2025-spring65109.2025.11174450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4512597287","display_name":null,"funder_award_id":"62201089","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":11,"referenced_works":["https://openalex.org/W1995875735","https://openalex.org/W2183341477","https://openalex.org/W2238937638","https://openalex.org/W2594591716","https://openalex.org/W2936867047","https://openalex.org/W2962974533","https://openalex.org/W3081661410","https://openalex.org/W3120324565","https://openalex.org/W4221160010","https://openalex.org/W4225872269","https://openalex.org/W4387382611"],"related_works":[],"abstract_inverted_index":{"Channel":[0],"acquisition":[1],"for":[2,91],"precoding":[3,36,62],"design":[4],"in":[5,156],"massive":[6],"multiple-input":[7],"multiple-output":[8],"(MIMO)":[9],"systems":[10],"faces":[11],"increasingly":[12],"prominent":[13],"challenges":[14],"due":[15],"to":[16,35,55,60,121],"the":[17,123],"huge":[18],"overhead":[19],"caused":[20],"by":[21,83],"channel":[22,38],"feedback":[23,39],"and":[24,45,81,87,118,127,142],"transmission":[25],"of":[26,125],"pilot":[27],"signals.":[28],"In":[29],"response,":[30],"directly":[31],"mapping":[32,74,98,111,144],"location":[33],"information":[34,90],"without":[37],"has":[40],"emerged":[41],"as":[42],"a":[43,71,107,149],"feasible":[44],"efficient":[46],"solution.":[47],"However,":[48],"existing":[49],"deep":[50],"learning-based":[51],"methods":[52],"often":[53],"struggle":[54],"map":[56],"low-dimensional":[57],"positional":[58],"data":[59],"high-dimensional":[61],"vectors":[63],"accurately.":[64],"To":[65],"address":[66],"this":[67],"challenge,":[68],"we":[69,105],"propose":[70],"spatially":[72,109],"adaptive":[73,93,110],"network":[75,112],"(SAM-Net)":[76],"that":[77,114,138],"enhances":[78],"feature":[79],"extraction":[80],"representation":[82],"leveraging":[84],"transposed":[85],"convolution":[86],"incorporating":[88],"spatial":[89],"fine-grained":[92],"adjustments.":[94],"While":[95],"SAM-Net":[96,139],"improves":[97],"performance,":[99,145],"its":[100],"complexity":[101,129],"also":[102],"increases.":[103],"Therefore,":[104],"introduce":[106],"lightweight":[108,151],"(LSAM-Net)":[113],"combines":[115],"average":[116],"pooling":[117,120],"max":[119],"reduce":[122],"number":[124],"parameters":[126],"computational":[128],"while":[130,146],"it":[131],"maintains":[132],"near-optimal":[133],"performance.":[134,157],"Evaluation":[135],"results":[136],"demonstrate":[137],"achieves":[140],"superior":[141],"stable":[143],"LSAM-Net":[147],"offers":[148],"more":[150],"alternative":[152],"with":[153],"minimal":[154],"loss":[155]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}