{"id":"https://openalex.org/W3135047104","doi":"https://doi.org/10.3390/jsan10010021","title":"Optimising Performance for NB-IoT UE Devices through Data Driven Models","display_name":"Optimising Performance for NB-IoT UE Devices through Data Driven Models","publication_year":2021,"publication_date":"2021-03-05","ids":{"openalex":"https://openalex.org/W3135047104","doi":"https://doi.org/10.3390/jsan10010021","mag":"3135047104"},"language":"en","primary_location":{"id":"doi:10.3390/jsan10010021","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jsan10010021","pdf_url":"https://www.mdpi.com/2224-2708/10/1/21/pdf?version=1615043450","source":{"id":"https://openalex.org/S2736633529","display_name":"Journal of Sensor and Actuator Networks","issn_l":"2224-2708","issn":["2224-2708"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensor and Actuator Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2224-2708/10/1/21/pdf?version=1615043450","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044423029","display_name":"Omar Nassef","orcid":"https://orcid.org/0000-0002-9499-8195"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Omar Nassef","raw_affiliation_strings":["Center of Telecommunication Research, Kings College London, London WC2R 2LS, UK"],"raw_orcid":"https://orcid.org/0000-0002-9499-8195","affiliations":[{"raw_affiliation_string":"Center of Telecommunication Research, Kings College London, London WC2R 2LS, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050055136","display_name":"Toktam Mahmoodi","orcid":"https://orcid.org/0000-0003-2760-7139"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Toktam Mahmoodi","raw_affiliation_strings":["Center of Telecommunication Research, Kings College London, London WC2R 2LS, UK"],"raw_orcid":"https://orcid.org/0000-0003-2760-7139","affiliations":[{"raw_affiliation_string":"Center of Telecommunication Research, Kings College London, London WC2R 2LS, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026746400","display_name":"Foivos Michelinakis","orcid":"https://orcid.org/0000-0001-7794-7479"},"institutions":[{"id":"https://openalex.org/I4210153474","display_name":"Simula Metropolitan Center for Digital Engineering","ror":"https://ror.org/04xtarr15","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I184531372","https://openalex.org/I2799829267","https://openalex.org/I4210153474"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Foivos Michelinakis","raw_affiliation_strings":["Center for Digital Engineering, Simula Metropolitan, 0167 Oslo, Norway"],"raw_orcid":"https://orcid.org/0000-0001-7794-7479","affiliations":[{"raw_affiliation_string":"Center for Digital Engineering, Simula Metropolitan, 0167 Oslo, Norway","institution_ids":["https://openalex.org/I4210153474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009208163","display_name":"Kashif Mahmood","orcid":"https://orcid.org/0000-0001-9506-109X"},"institutions":[{"id":"https://openalex.org/I2800413675","display_name":"Telenor (Norway)","ror":"https://ror.org/02jsp2z03","country_code":"NO","type":"company","lineage":["https://openalex.org/I2800413675"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Kashif Mahmood","raw_affiliation_strings":["Telenor Research, 1360 Fornebu, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telenor Research, 1360 Fornebu, Norway","institution_ids":["https://openalex.org/I2800413675"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071820821","display_name":"Ahmed Elmokashfi","orcid":"https://orcid.org/0000-0001-9964-214X"},"institutions":[{"id":"https://openalex.org/I4210153474","display_name":"Simula Metropolitan Center for Digital Engineering","ror":"https://ror.org/04xtarr15","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I184531372","https://openalex.org/I2799829267","https://openalex.org/I4210153474"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Ahmed Elmokashfi","raw_affiliation_strings":["Center for Digital Engineering, Simula Metropolitan, 0167 Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Digital Engineering, Simula Metropolitan, 0167 Oslo, Norway","institution_ids":["https://openalex.org/I4210153474"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044423029"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.0803,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36308757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":"1","first_page":"21","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9993000030517578,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9993000030517578,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9990000128746033,"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/T13553","display_name":"Age of Information Optimization","score":0.996399998664856,"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":0.8870629072189331},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8558577299118042},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.795488715171814},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5897220969200134},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5321511626243591},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5239658355712891},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4865952730178833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48355957865715027},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.4656212031841278},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4629083573818207},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4348081350326538},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.43248021602630615},{"id":"https://openalex.org/keywords/user-equipment","display_name":"User equipment","score":0.4207799434661865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40690985321998596},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3943633437156677},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.22751474380493164},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21232196688652039},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09698954224586487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8870629072189331},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8558577299118042},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.795488715171814},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5897220969200134},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5321511626243591},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5239658355712891},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4865952730178833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48355957865715027},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.4656212031841278},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4629083573818207},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4348081350326538},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.43248021602630615},{"id":"https://openalex.org/C2781327853","wikidata":"https://www.wikidata.org/wiki/Q3552547","display_name":"User equipment","level":3,"score":0.4207799434661865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40690985321998596},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3943633437156677},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.22751474380493164},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21232196688652039},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09698954224586487},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jsan10010021","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jsan10010021","pdf_url":"https://www.mdpi.com/2224-2708/10/1/21/pdf?version=1615043450","source":{"id":"https://openalex.org/S2736633529","display_name":"Journal of Sensor and Actuator Networks","issn_l":"2224-2708","issn":["2224-2708"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensor and Actuator Networks","raw_type":"journal-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:openaire/86b307d5-8bb1-434b-a27e-024cfff21e72","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/86b307d5-8bb1-434b-a27e-024cfff21e72","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nassef, O, Mahmoodi, T, Michelinakis, F, Mahmood, K & Elmokashfi, A 2021, 'Optimising performance for nb-iot ue devices through data driven models', Journal of Sensor and Actuator Networks, vol. 10, no. 1, 21. https://doi.org/10.3390/jsan10010021","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:49d2b7d27300465098b7f5773ee2501f","is_oa":true,"landing_page_url":"https://doaj.org/article/49d2b7d27300465098b7f5773ee2501f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensor and Actuator Networks, Vol 10, Iss 1, p 21 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2224-2708/10/1/21/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/jsan10010021","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensor and Actuator Networks; Volume 10; Issue 1; Pages: 21","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jsan10010021","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jsan10010021","pdf_url":"https://www.mdpi.com/2224-2708/10/1/21/pdf?version=1615043450","source":{"id":"https://openalex.org/S2736633529","display_name":"Journal of Sensor and Actuator Networks","issn_l":"2224-2708","issn":["2224-2708"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensor and Actuator Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2288746125","display_name":null,"funder_award_id":"EP/P003974/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3135047104.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1932683804","https://openalex.org/W2101234009","https://openalex.org/W2105103777","https://openalex.org/W2173564293","https://openalex.org/W2563693940","https://openalex.org/W2596324967","https://openalex.org/W2597831797","https://openalex.org/W2729698531","https://openalex.org/W2732616350","https://openalex.org/W2794826394","https://openalex.org/W2805209699","https://openalex.org/W2874971053","https://openalex.org/W2893265154","https://openalex.org/W2900476355","https://openalex.org/W2905601756","https://openalex.org/W2906808557","https://openalex.org/W2909008700","https://openalex.org/W2909600074","https://openalex.org/W2913272148","https://openalex.org/W2913565212","https://openalex.org/W2918091206","https://openalex.org/W2919566115","https://openalex.org/W2920637246","https://openalex.org/W2962883549","https://openalex.org/W2965900412","https://openalex.org/W3010723141","https://openalex.org/W3011314740","https://openalex.org/W3048305439","https://openalex.org/W3054983093","https://openalex.org/W3104912275","https://openalex.org/W4235843216","https://openalex.org/W6623236466","https://openalex.org/W6675354045","https://openalex.org/W6740602428"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W4226210192","https://openalex.org/W4389401745"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,31,39,49],"data":[4],"driven":[5],"framework":[6,17],"for":[7],"performance":[8,111,120],"optimisation":[9],"of":[10,51,94,102,112],"Narrow-Band":[11],"IoT":[12],"user":[13,27],"equipment.":[14],"The":[15,89],"proposed":[16],"is":[18,70],"an":[19,86],"edge":[20],"micro-service":[21],"that":[22],"suggests":[23],"one-time":[24],"configurations":[25,35],"to":[26,42,79],"equipment":[28],"communicating":[29],"with":[30,73],"base":[32],"station.":[33],"Suggested":[34],"are":[36],"delivered":[37],"from":[38],"Configuration":[40],"Advocate,":[41],"improve":[43],"energy":[44],"consumption,":[45],"delay,":[46],"throughput":[47],"or":[48],"combination":[50],"those":[52],"metrics,":[53],"depending":[54],"on":[55],"the":[56,60,81,92,95,100,107,113],"user-end":[57],"device":[58],"and":[59,67,75,84],"application.":[61],"Reinforcement":[62],"learning":[63,77,116],"utilising":[64],"gradient":[65],"descent":[66],"genetic":[68,114],"algorithm":[69,117],"adopted":[71],"synchronously":[72],"machine":[74],"deep":[76],"algorithms":[78],"predict":[80],"environmental":[82,104],"states":[83],"suggest":[85],"optimal":[87],"configuration.":[88],"results":[90,108],"highlight":[91],"adaptability":[93],"Deep":[96],"Neural":[97],"Network":[98],"in":[99],"prediction":[101],"intermediary":[103],"states,":[105],"additionally":[106],"present":[109],"superior":[110],"reinforcement":[115],"regarding":[118],"its":[119],"optimisation.":[121]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}