{"id":"https://openalex.org/W4410229295","doi":"https://doi.org/10.1109/wcnc61545.2025.10978132","title":"Deep Reinforcement Learning for Edge-DASH-Based Dynamic Video Streaming","display_name":"Deep Reinforcement Learning for Edge-DASH-Based Dynamic Video Streaming","publication_year":2025,"publication_date":"2025-03-24","ids":{"openalex":"https://openalex.org/W4410229295","doi":"https://doi.org/10.1109/wcnc61545.2025.10978132"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc61545.2025.10978132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc61545.2025.10978132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5092593575","display_name":"David Naseh","orcid":"https://orcid.org/0009-0006-0767-7622"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"David Naseh","raw_affiliation_strings":["University of Bologna,Department of Electrical, Electronic and Information Engineering &#x201C;Guglielmo Marconi&#x201D;,Bologna,Italy,40136"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Department of Electrical, Electronic and Information Engineering &#x201C;Guglielmo Marconi&#x201D;,Bologna,Italy,40136","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062960223","display_name":"Arash Bozorgchenani","orcid":"https://orcid.org/0000-0003-1360-6952"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arash Bozorgchenani","raw_affiliation_strings":["School of Computer Science, University of Leeds,Leeds,UK,LS2 9JT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Leeds,Leeds,UK,LS2 9JT","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059742626","display_name":"Daniele Tarchi","orcid":"https://orcid.org/0000-0001-7338-1957"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Tarchi","raw_affiliation_strings":["University of Florence,Department of Information Engineering,Firenze,Italy,50139"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florence,Department of Information Engineering,Firenze,Italy,50139","institution_ids":["https://openalex.org/I45084792"]}]}],"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9682000279426575,"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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9319000244140625,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dash","display_name":"Dash","score":0.8927472829818726},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8595737218856812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7914668321609497},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5323166251182556},{"id":"https://openalex.org/keywords/dynamic-adaptive-streaming-over-http","display_name":"Dynamic Adaptive Streaming over HTTP","score":0.440051406621933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39920902252197266},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.39799097180366516},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35063636302948},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22274190187454224},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09778475761413574}],"concepts":[{"id":"https://openalex.org/C2776090536","wikidata":"https://www.wikidata.org/wiki/Q187819","display_name":"Dash","level":2,"score":0.8927472829818726},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8595737218856812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7914668321609497},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5323166251182556},{"id":"https://openalex.org/C2777588599","wikidata":"https://www.wikidata.org/wiki/Q135299","display_name":"Dynamic Adaptive Streaming over HTTP","level":4,"score":0.440051406621933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39920902252197266},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.39799097180366516},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35063636302948},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22274190187454224},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09778475761413574},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.0},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wcnc61545.2025.10978132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc61545.2025.10978132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/1018085","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/1018085","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:flore.unifi.it:2158/1422454","is_oa":false,"landing_page_url":"https://hdl.handle.net/2158/1422454","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1989809547","https://openalex.org/W2053157787","https://openalex.org/W2333627010","https://openalex.org/W2336754592","https://openalex.org/W2799932776","https://openalex.org/W2810002837","https://openalex.org/W2891982575","https://openalex.org/W2903615875","https://openalex.org/W2909084188","https://openalex.org/W2944473698","https://openalex.org/W3024547383","https://openalex.org/W3102349812","https://openalex.org/W4245553357","https://openalex.org/W4296352111"],"related_works":["https://openalex.org/W2086791979","https://openalex.org/W3006874366","https://openalex.org/W2293200261","https://openalex.org/W2421266332","https://openalex.org/W2396571135","https://openalex.org/W2575966327","https://openalex.org/W2511745465","https://openalex.org/W2560609567","https://openalex.org/W2577047249","https://openalex.org/W2283282330"],"abstract_inverted_index":{"Dynamic":[0],"Adaptive":[1],"Streaming":[2],"over":[3],"HTTP":[4],"(DASH)":[5],"is":[6],"a":[7],"promising":[8],"solution":[9,108],"to":[10,52],"enhance":[11],"the":[12,54,59,69,77,79,84,88,92,106],"Quality":[13],"of":[14,17,32,111],"Experience":[15],"(QoE)":[16],"mobile":[18],"video":[19],"services.":[20],"In":[21,91],"this":[22],"paper,":[23],"we":[24,45,95],"consider":[25],"an":[26],"Edge-DASH":[27],"scenario":[28],"where":[29],"two":[30],"problems":[31],"Bitrate":[33],"Allocation":[34],"(BrA)":[35],"and":[36,57,75],"user-to-server":[37],"allocation":[38],"(USA)":[39],"have":[40,96],"been":[41],"jointly":[42],"formulated.":[43],"Then,":[44],"exploit":[46],"Deep":[47,100],"Reinforcement":[48],"Learning":[49],"(DRL)":[50],"algorithm":[51],"solve":[53],"USA":[55],"problem":[56],"select":[58],"streaming":[60,67],"point":[61],"for":[62],"users,":[63],"which":[64],"can":[65],"be":[66],"from":[68],"Edge,":[70],"Macro":[71],"layer":[72],"or":[73],"cloud,":[74],"deliver":[76],"users":[78],"most":[80],"appropriate":[81],"bitrate":[82,112],"respecting":[83],"QoE":[85],"by":[86],"solving":[87],"BrA":[89],"problem.":[90],"simulation":[93],"results,":[94],"demonstrated":[97],"that":[98],"our":[99],"Deterministic":[101],"Policy":[102],"Gradient":[103],"(DDPG)":[104],"outperforms":[105],"traditional":[107],"in":[109],"terms":[110],"allocation.":[113]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
