{"id":"https://openalex.org/W4387126686","doi":"https://doi.org/10.1145/3565287.3610280","title":"Scalable Multi-Modal Learning for Cross-Link Channel Prediction in Massive IoT Networks","display_name":"Scalable Multi-Modal Learning for Cross-Link Channel Prediction in Massive IoT Networks","publication_year":2023,"publication_date":"2023-09-28","ids":{"openalex":"https://openalex.org/W4387126686","doi":"https://doi.org/10.1145/3565287.3610280"},"language":"en","primary_location":{"id":"doi:10.1145/3565287.3610280","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3610280","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3610280","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3610280","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091870684","display_name":"Kun Woo Cho","orcid":"https://orcid.org/0000-0002-7934-4003"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Woo Cho","raw_affiliation_strings":["Princeton University, Princeton, USA"],"raw_orcid":"https://orcid.org/0000-0002-7934-4003","affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022784496","display_name":"Marco Cominelli","orcid":"https://orcid.org/0000-0002-1838-348X"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Cominelli","raw_affiliation_strings":["University of Brescia/CNIT, Brescia, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1838-348X","affiliations":[{"raw_affiliation_string":"University of Brescia/CNIT, Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034071044","display_name":"Francesco Gringoli","orcid":"https://orcid.org/0000-0003-2621-582X"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Gringoli","raw_affiliation_strings":["University of Brescia/CNIT, Brescia, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2621-582X","affiliations":[{"raw_affiliation_string":"University of Brescia/CNIT, Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064963698","display_name":"Joerg Widmer","orcid":"https://orcid.org/0000-0001-6667-8779"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joerg Widmer","raw_affiliation_strings":["IMDEA Networks, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0001-6667-8779","affiliations":[{"raw_affiliation_string":"IMDEA Networks, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050964830","display_name":"Kyle Jamieson","orcid":"https://orcid.org/0000-0002-7940-2867"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Jamieson","raw_affiliation_strings":["Princeton University, Princeton, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-7940-2867","affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, United States of America","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"221","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.8252121806144714},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.615465521812439},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6122627854347229},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6085774898529053},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5800307989120483},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5229688286781311},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.5204625129699707},{"id":"https://openalex.org/keywords/channel-sounding","display_name":"Channel sounding","score":0.465118408203125},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4567195177078247},{"id":"https://openalex.org/keywords/channel-state-information","display_name":"Channel state information","score":0.44053083658218384},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3894726037979126},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.31885021924972534},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.2526821494102478},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16800421476364136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08177942037582397}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8252121806144714},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.615465521812439},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6122627854347229},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6085774898529053},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5800307989120483},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5229688286781311},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.5204625129699707},{"id":"https://openalex.org/C2781127089","wikidata":"https://www.wikidata.org/wiki/Q25051821","display_name":"Channel sounding","level":4,"score":0.465118408203125},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4567195177078247},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.44053083658218384},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3894726037979126},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.31885021924972534},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.2526821494102478},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16800421476364136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08177942037582397},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3565287.3610280","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3610280","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3610280","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unibs.it:11379/596771","is_oa":false,"landing_page_url":"https://hdl.handle.net/11379/596771","pdf_url":null,"source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:re.public.polimi.it:11311/1264909","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1264909","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3565287.3610280","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3565287.3610280","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3565287.3610280","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G6917151458","display_name":"Collaborative Research: SII-NRDZ:Spectrum Sharing via Consumption Models and Telemetry - Prototyping and Field Testing in an Urban FCC Innovation Zone","funder_award_id":"2232457","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7562220217","display_name":null,"funder_award_id":"FA8655-22-1-7017","funder_id":"https://openalex.org/F4320338503","funder_display_name":"European Office of Aerospace Research and Development"},{"id":"https://openalex.org/G8128663859","display_name":null,"funder_award_id":"AST-2232457","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309292","display_name":"Princeton University","ror":"https://ror.org/00hx57361"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338503","display_name":"European Office of Aerospace Research and Development","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387126686.pdf","grobid_xml":"https://content.openalex.org/works/W4387126686.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1997834106","https://openalex.org/W2013901835","https://openalex.org/W2077077908","https://openalex.org/W2151949275","https://openalex.org/W2488265751","https://openalex.org/W2762605243","https://openalex.org/W2786541991","https://openalex.org/W2793967010","https://openalex.org/W2808465901","https://openalex.org/W2895191479","https://openalex.org/W2963207848","https://openalex.org/W2963283377","https://openalex.org/W2979924295","https://openalex.org/W3101286577","https://openalex.org/W3201512878","https://openalex.org/W6785679328"],"related_works":["https://openalex.org/W2059045613","https://openalex.org/W4313028534","https://openalex.org/W884630482","https://openalex.org/W2024111163","https://openalex.org/W2025723618","https://openalex.org/W2552025594","https://openalex.org/W2800473611","https://openalex.org/W4211013851","https://openalex.org/W2906236817","https://openalex.org/W2567502422"],"abstract_inverted_index":{"Tomorrow's":[0],"massive-scale":[1],"IoT":[2,66,184],"sensor":[3,67],"networks":[4],"are":[5],"poised":[6],"to":[7,79,100,126,202,216],"drive":[8],"uplink":[9],"traffic":[10],"demand,":[11,21],"especially":[12],"in":[13,63,97,189],"areas":[14],"of":[15,32,55,60,83,107,131,135],"dense":[16],"deployment.":[17],"To":[18],"meet":[19],"this":[20,91],"however,":[22],"network":[23,45],"designers":[24],"leverage":[25],"tools":[26],"that":[27,121,222],"often":[28],"require":[29],"accurate":[30],"estimates":[31],"Channel":[33,116],"State":[34],"Information":[35],"(CSI),":[36],"which":[37],"incurs":[38],"a":[39,108,119,132,225,232],"high":[40],"overhead":[41,49,141],"and":[42,57,174,197,207,231],"thus":[43],"reduces":[44],"throughput.":[46],"Furthermore,":[47],"the":[48,53,81,88,94,98,105,128,176,179],"generally":[50],"scales":[51],"with":[52,200],"number":[54,134],"clients,":[56],"so":[58],"is":[59,148],"special":[61],"concern":[62],"such":[64],"massive":[65],"networks.":[68,185],"While":[69],"prior":[70],"work":[71],"has":[72],"used":[73],"transmissions":[74,153,199],"over":[75,229,236],"one":[76],"frequency":[77,85],"band":[78,86],"predict":[80,104,127],"channel":[82,129,139,157,210],"another":[84],"on":[87],"same":[89],"link,":[90],"paper":[92],"takes":[93],"next":[95],"step":[96],"effort":[99],"reduce":[101],"CSI":[102,106],"overhead:":[103],"nearby":[109],"but":[110],"distinct":[111],"link.":[112],"We":[113,163,186],"propose":[114],"Cross-Link":[115],"Prediction":[117],"(CLCP),":[118],"technique":[120],"leverages":[122],"multi-view":[123],"representation":[124],"learning":[125],"response":[130],"large":[133],"users,":[136],"thereby":[137],"reducing":[138],"estimation":[140],"further":[142],"than":[143,155],"previously":[144],"possible.":[145],"CLCP's":[146],"design":[147],"highly":[149],"practical,":[150],"exploiting":[151],"existing":[152,237],"rather":[154],"dedicated":[156],"sounding":[158],"or":[159],"extra":[160],"pilot":[161],"signals.":[162],"have":[164],"implemented":[165],"CLCP":[166,188,223],"for":[167,182],"two":[168,190],"different":[169,204,209],"Wi-Fi":[170],"versions,":[171],"namely":[172],"802.11n":[173],"802.11ax,":[175],"latter":[177],"being":[178],"leading":[180],"candidate":[181],"future":[183],"evaluate":[187],"large-scale":[191],"indoor":[192],"scenarios":[193],"involving":[194],"both":[195],"line-of-sight":[196],"non-line-of-sight":[198],"up":[201,215],"144":[203],"802.11ax":[205],"users":[206],"four":[208],"bandwidths,":[211],"from":[212],"20":[213],"MHz":[214],"160":[217],"MHz.":[218],"Our":[219],"results":[220],"show":[221],"provides":[224],"2\u00d7":[226],"throughput":[227,234],"gain":[228,235],"baseline":[230],"30%":[233],"prediction":[238],"algorithms.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2023-09-29T00:00:00"}
