{"id":"https://openalex.org/W4387717513","doi":"https://doi.org/10.1109/tvt.2023.3325200","title":"Learning Wireless Power Allocation Through Graph Convolutional Regression Networks Over Riemannian Manifolds","display_name":"Learning Wireless Power Allocation Through Graph Convolutional Regression Networks Over Riemannian Manifolds","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4387717513","doi":"https://doi.org/10.1109/tvt.2023.3325200"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2023.3325200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3325200","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Vehicular Technology","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/A5079696421","display_name":"Rashed Shelim","orcid":"https://orcid.org/0000-0002-6874-2110"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rashed Shelim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-6874-2110","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002806452","display_name":"Ahmed S. Ibrahim","orcid":"https://orcid.org/0000-0002-6206-6625"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed S. Ibrahim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-6206-6625","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19700959"],"apc_list":null,"apc_paid":null,"fwci":0.9291,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74645505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"73","issue":"3","first_page":"3652","last_page":"3662"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9995999932289124,"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":0.9995999932289124,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9966999888420105,"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":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.5930303335189819},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49765899777412415},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4759761393070221},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4569535553455353},{"id":"https://openalex.org/keywords/spectral-graph-theory","display_name":"Spectral graph theory","score":0.44969257712364197},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4350263476371765},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4292534291744232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.418569952249527},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.36503392457962036},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3605268895626068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2921736538410187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5930303335189819},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49765899777412415},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4759761393070221},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4569535553455353},{"id":"https://openalex.org/C74003402","wikidata":"https://www.wikidata.org/wiki/Q3180727","display_name":"Spectral graph theory","level":5,"score":0.44969257712364197},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4350263476371765},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4292534291744232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.418569952249527},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.36503392457962036},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3605268895626068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2921736538410187},{"id":"https://openalex.org/C149530733","wikidata":"https://www.wikidata.org/wiki/Q5597091","display_name":"Graph power","level":4,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2023.3325200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3325200","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1173921619","display_name":null,"funder_award_id":"CNS-2144297","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1591717461","https://openalex.org/W2048192550","https://openalex.org/W2074763854","https://openalex.org/W2100755644","https://openalex.org/W2105633599","https://openalex.org/W2119854596","https://openalex.org/W2143956139","https://openalex.org/W2156718197","https://openalex.org/W2210177522","https://openalex.org/W2604865066","https://openalex.org/W2797462110","https://openalex.org/W2896405912","https://openalex.org/W2964021722","https://openalex.org/W2964163713","https://openalex.org/W2992716901","https://openalex.org/W3013401049","https://openalex.org/W3047312226","https://openalex.org/W3093382413","https://openalex.org/W3111499798","https://openalex.org/W3124594692","https://openalex.org/W3171722105","https://openalex.org/W3182173492","https://openalex.org/W3213072008","https://openalex.org/W4206033904","https://openalex.org/W4214593267","https://openalex.org/W4225317588","https://openalex.org/W4226117435","https://openalex.org/W4289857278","https://openalex.org/W4312278225","https://openalex.org/W4312909178","https://openalex.org/W4386261682","https://openalex.org/W6631190155","https://openalex.org/W6675041395","https://openalex.org/W6726873649","https://openalex.org/W6766952790","https://openalex.org/W6779094074"],"related_works":["https://openalex.org/W4255121618","https://openalex.org/W2373536056","https://openalex.org/W3204546133","https://openalex.org/W4385714429","https://openalex.org/W3113749212","https://openalex.org/W136616785","https://openalex.org/W2156370015","https://openalex.org/W2612316339","https://openalex.org/W2908230797","https://openalex.org/W4298619141"],"abstract_inverted_index":{"Optimum":[0],"power":[1,25,54,76,86,140],"allocation":[2,26,55,87,141],"is":[3,61,95,109],"a":[4,50,132],"key":[5],"enabler":[6],"for":[7,23,53,72,138],"maximizing":[8],"data":[9],"rate":[10,161],"in":[11,27,43,63,145,162,174],"wireless":[12],"networks.":[13,30],"Recently,":[14],"various":[15],"deep":[16],"neural":[17],"network":[18,38,83,126,136,160],"models":[19],"have":[20],"been":[21],"introduced":[22],"predicting":[24,139],"device-to-device":[28],"(D2D)":[29],"However,":[31],"they":[32],"require":[33,98],"large":[34],"training":[35,58,168],"samples":[36,169],"(i.e.,":[37,91,122],"layouts).":[39],"On":[40],"the":[41,70,113,153,158],"contrary":[42],"this":[44],"paper,":[45],"we":[46,130],"aim":[47],"to":[48,97,112,172],"develop":[49],"learning":[51,74,100,105,176],"model":[52,80,156],"with":[56,69,165],"fewer":[57,99],"samples,":[59],"which":[60,94],"vital":[62],"dynamic":[64],"networks":[65],"(e.g.,":[66],"vehicular":[67],"networks)":[68],"need":[71],"fast":[73],"of":[75,119,125],"allocation.":[77],"The":[78],"proposed":[79,154],"transforms":[81],"Euclidean-based":[82,175],"layouts":[84],"and":[85,102],"problems":[88],"into":[89],"Riemannian":[90,143],"non-Euclidean)":[92],"manifolds,":[93],"shown":[96],"parameters":[101],"hence":[103],"shorter":[104],"time.":[106],"Such":[107],"transformation":[108],"possible":[110],"thanks":[111],"symmetric":[114],"positive":[115],"definite":[116],"(SPD)":[117],"property":[118],"spectral":[120],"representation":[121],"Laplacian":[123],"matrix)":[124],"layouts.":[127],"In":[128],"particular,":[129],"propose":[131],"graph":[133],"convolutional":[134],"regression":[135],"(GCRN)":[137],"over":[142],"manifolds":[144],"an":[146],"unsupervised":[147],"manner.":[148],"Simulation":[149],"results":[150],"demonstrate":[151],"that":[152],"GCRN":[155],"approaches":[157],"maximum":[159],"large-scale":[163],"networks,":[164],"only":[166],"300":[167],"as":[170],"opposed":[171],"10,000":[173],"models.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}