{"id":"https://openalex.org/W2966326907","doi":"https://doi.org/10.1109/tsp.2019.8769088","title":"Adaptive Resource Scheduling based on Neural Network and Mobile Traffic Prediction","display_name":"Adaptive Resource Scheduling based on Neural Network and Mobile Traffic Prediction","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2966326907","doi":"https://doi.org/10.1109/tsp.2019.8769088","mag":"2966326907"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2019.8769088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.8769088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","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/A5021651964","display_name":"Plamen Semov","orcid":null},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":true,"raw_author_name":"Plamen Semov","raw_affiliation_strings":["Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063713293","display_name":"Pavlina Koleva","orcid":"https://orcid.org/0000-0002-8724-1258"},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Pavlina Koleva","raw_affiliation_strings":["Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078409807","display_name":"Vladimir Poulkov","orcid":"https://orcid.org/0000-0003-3226-5639"},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Vladimir Poulkov","raw_affiliation_strings":["Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021651964"],"corresponding_institution_ids":["https://openalex.org/I31151848"],"apc_list":null,"apc_paid":null,"fwci":0.2385,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.54608314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"585","last_page":"588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9563000202178955,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9563000202178955,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9550999999046326,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9460999965667725,"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":0.7585701942443848},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5951727032661438},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5224836468696594},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37552040815353394},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3491601347923279},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34532278776168823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3327835202217102},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10055893659591675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7585701942443848},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5951727032661438},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5224836468696594},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37552040815353394},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3491601347923279},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34532278776168823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3327835202217102},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10055893659591675},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2019.8769088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.8769088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2140889941","https://openalex.org/W2165375299","https://openalex.org/W2614459600","https://openalex.org/W2787701410","https://openalex.org/W2788005034","https://openalex.org/W2888076133","https://openalex.org/W2963035276","https://openalex.org/W6738647598","https://openalex.org/W6748239807"],"related_works":["https://openalex.org/W2111375262","https://openalex.org/W2317728013","https://openalex.org/W1991205173","https://openalex.org/W2391251536","https://openalex.org/W2109048960","https://openalex.org/W2741481635","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2338537463","https://openalex.org/W2183644707"],"abstract_inverted_index":{"Nowadays":[0],"with":[1,168],"the":[2,28,33,37,49,63,73,78,81,96,103,112,120,127,146,153,186,192,195],"deployment":[3],"of":[4,32,80,114,197],"a":[5,43,164,181],"large":[6],"and":[7,67,86,116,137,194,201,205],"dense":[8],"heterogeneous":[9],"networks":[10],"more":[11],"sophisticated":[12],"algorithms":[13,23,57,200],"for":[14,141,184],"resource":[15,160,187],"scheduling":[16,22,161],"are":[17],"needed.":[18],"Implementing":[19],"hard":[20],"coded":[21],"without":[24,111],"taking":[25],"into":[26],"account":[27],"very":[29],"specific":[30],"dynamic":[31],"traffic":[34,65,82,105],"generated":[35],"by":[36,95,179],"mobile":[38,155],"users":[39],"can":[40,59,101,190],"lead":[41],"to":[42,149],"network":[44,91,104,128,147,166],"performance":[45],"quite":[46],"far":[47],"from":[48],"optimal.":[50],"By":[51],"using":[52],"novel":[53],"machine":[54],"learning":[55],"(ML)":[56],"we":[58,100,189],"store":[60,102],"not":[61],"only":[62],"raw":[64,97,121],"data":[66,98,109],"its":[68],"variations":[69],"but":[70],"also":[71],"build":[72],"so-called":[74],"heat":[75],"maps,":[76],"reflecting":[77],"changes":[79],"over":[83],"time,":[84],"space":[85],"per":[87],"user.":[88],"Using":[89,123],"neural":[90,165,182],"(NN)":[92],"architectures,":[93],"trained":[94],"statistics,":[99],"model":[106],"at":[107,119],"minimum":[108],"storage":[110],"need":[113],"keeping":[115],"looking":[117],"up":[118],"data.":[122],"such":[124],"NN":[125],"architecture":[126,167],"state":[129],"in":[130],"next":[131],"time":[132],"intervals":[133],"could":[134],"be":[135,150],"predicted":[136],"this":[138],"prediction":[139],"used":[140],"decision":[142],"making":[143],"about":[144],"how":[145],"resources":[148],"scheduled":[151],"among":[152],"active":[154],"users.":[156],"To":[157],"implement":[158],"adaptive":[159],"named":[162],"\u201cAdaptSch\u201d":[163],"two":[169],"main":[170],"blocks":[171],"is":[172],"proposed.":[173],"The":[174],"simulation":[175],"results":[176],"show":[177],"that":[178],"incorporating":[180],"classifier":[183],"adapting":[185],"scheduler":[188,199],"utilize":[191],"advantages":[193],"effectiveness":[196],"multiple":[198],"improve":[202],"overall":[203],"throughput":[204],"packet":[206],"delay.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
