{"id":"https://openalex.org/W3007943882","doi":"https://doi.org/10.1109/access.2020.2975004","title":"A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning","display_name":"A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3007943882","doi":"https://doi.org/10.1109/access.2020.2975004","mag":"3007943882"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2975004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975004","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09003183.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09003183.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065783765","display_name":"Bo Ma","orcid":"https://orcid.org/0000-0001-9522-5920"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bo Ma","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9522-5920","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062362866","display_name":"Weisi Guo","orcid":"https://orcid.org/0000-0003-3524-3953"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]},{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]},{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weisi Guo","raw_affiliation_strings":["Human Machine Intelligence Centre for Autonomous and Cyber-Physical Systems, Cranfield University, Bedford, U.K","School of Engineering, The University of Warwick, Coventry, U.K","The Alan Turing Institute, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3524-3953","affiliations":[{"raw_affiliation_string":"Human Machine Intelligence Centre for Autonomous and Cyber-Physical Systems, Cranfield University, Bedford, U.K","institution_ids":["https://openalex.org/I82284825"]},{"raw_affiliation_string":"School of Engineering, The University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"The Alan Turing Institute, London, U.K","institution_ids":["https://openalex.org/I4210128584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436731","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-3354-0690"},"institutions":[{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["The Alan Turing Institute, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3354-0690","affiliations":[{"raw_affiliation_string":"The Alan Turing Institute, London, U.K","institution_ids":["https://openalex.org/I4210128584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":9.817,"has_fulltext":true,"cited_by_count":98,"citation_normalized_percentile":{"value":0.98288173,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"35606","last_page":"35637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994999766349792,"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/T11478","display_name":"Caching and Content Delivery","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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.998199999332428,"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":0.8381091356277466},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6566144227981567},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6311141848564148},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5164192318916321},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.489134818315506},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.474504679441452},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.45797157287597656},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44725894927978516},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4371154308319092},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.42186814546585083},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.418509840965271},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4128604531288147},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.41175079345703125},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3705183267593384},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3422335386276245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.335779070854187},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23386302590370178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8381091356277466},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6566144227981567},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6311141848564148},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5164192318916321},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.489134818315506},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.474504679441452},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.45797157287597656},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44725894927978516},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4371154308319092},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.42186814546585083},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.418509840965271},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4128604531288147},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.41175079345703125},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3705183267593384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3422335386276245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.335779070854187},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23386302590370178},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.2975004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975004","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09003183.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:157593","is_oa":false,"landing_page_url":"http://eprints.whiterose.ac.uk/157593/1/09003183.pdf","pdf_url":"http://eprints.whiterose.ac.uk/157593/1/09003183.pdf","source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:a79df5509f9c43d2a127a524ec06541c","is_oa":true,"landing_page_url":"https://doaj.org/article/a79df5509f9c43d2a127a524ec06541c","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":"IEEE Access, Vol 8, Pp 35606-35637 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2975004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2975004","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09003183.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1007416220","display_name":null,"funder_award_id":"2018A050501008","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"},{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8217379690","display_name":"Data Aware Wireless Networks for Internet of Everything","funder_award_id":"778305","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007943882.pdf","grobid_xml":"https://content.openalex.org/works/W3007943882.grobid-xml"},"referenced_works_count":208,"referenced_works":["https://openalex.org/W19556245","https://openalex.org/W1488999181","https://openalex.org/W1491644571","https://openalex.org/W1499864241","https://openalex.org/W1502922572","https://openalex.org/W1529459676","https://openalex.org/W1541730457","https://openalex.org/W1605379235","https://openalex.org/W1722699250","https://openalex.org/W1777124189","https://openalex.org/W1810232920","https://openalex.org/W1844951596","https://openalex.org/W1866206747","https://openalex.org/W1930967223","https://openalex.org/W1932847118","https://openalex.org/W1964020260","https://openalex.org/W1968149848","https://openalex.org/W1970777322","https://openalex.org/W1972549195","https://openalex.org/W1975924107","https://openalex.org/W1976146430","https://openalex.org/W1976782962","https://openalex.org/W1977931290","https://openalex.org/W1978826181","https://openalex.org/W1978895175","https://openalex.org/W1984663959","https://openalex.org/W1986085123","https://openalex.org/W1987995612","https://openalex.org/W1988538402","https://openalex.org/W1992240028","https://openalex.org/W1993041190","https://openalex.org/W2000011732","https://openalex.org/W2000947285","https://openalex.org/W2002199299","https://openalex.org/W2006216084","https://openalex.org/W2006239241","https://openalex.org/W2009029951","https://openalex.org/W2009139797","https://openalex.org/W2009155608","https://openalex.org/W2009435503","https://openalex.org/W2009867565","https://openalex.org/W2009871859","https://openalex.org/W2010521354","https://openalex.org/W2010564749","https://openalex.org/W2010585744","https://openalex.org/W2030865974","https://openalex.org/W2031533839","https://openalex.org/W2037169571","https://openalex.org/W2037635047","https://openalex.org/W2038249063","https://openalex.org/W2039001267","https://openalex.org/W2046740087","https://openalex.org/W2047443612","https://openalex.org/W2051115321","https://openalex.org/W2051773775","https://openalex.org/W2052248394","https://openalex.org/W2053241453","https://openalex.org/W2054692642","https://openalex.org/W2058410460","https://openalex.org/W2058587166","https://openalex.org/W2059131802","https://openalex.org/W2062261051","https://openalex.org/W2077785026","https://openalex.org/W2084149434","https://openalex.org/W2086961842","https://openalex.org/W2090702599","https://openalex.org/W2092029465","https://openalex.org/W2092140632","https://openalex.org/W2092676845","https://openalex.org/W2092872567","https://openalex.org/W2099391294","https://openalex.org/W2100427569","https://openalex.org/W2100614560","https://openalex.org/W2101196063","https://openalex.org/W2101234009","https://openalex.org/W2107940303","https://openalex.org/W2110641846","https://openalex.org/W2110903679","https://openalex.org/W2110953678","https://openalex.org/W2115658939","https://openalex.org/W2117281325","https://openalex.org/W2118519969","https://openalex.org/W2125890412","https://openalex.org/W2142200228","https://openalex.org/W2147773055","https://openalex.org/W2148508636","https://openalex.org/W2151854870","https://openalex.org/W2152202842","https://openalex.org/W2156842280","https://openalex.org/W2159480651","https://openalex.org/W2160025018","https://openalex.org/W2160160578","https://openalex.org/W2164671180","https://openalex.org/W2165698076","https://openalex.org/W2167617566","https://openalex.org/W2167978925","https://openalex.org/W2168346693","https://openalex.org/W2277420157","https://openalex.org/W2280094791","https://openalex.org/W2281611560","https://openalex.org/W2292104957","https://openalex.org/W2293634267","https://openalex.org/W2293876974","https://openalex.org/W2316356223","https://openalex.org/W2342408547","https://openalex.org/W2344908576","https://openalex.org/W2364089413","https://openalex.org/W2402293753","https://openalex.org/W2419439193","https://openalex.org/W2486186874","https://openalex.org/W2499447445","https://openalex.org/W2512788786","https://openalex.org/W2514159439","https://openalex.org/W2519564973","https://openalex.org/W2528788999","https://openalex.org/W2533630818","https://openalex.org/W2534257000","https://openalex.org/W2545234387","https://openalex.org/W2546679426","https://openalex.org/W2553458108","https://openalex.org/W2562845186","https://openalex.org/W2565279987","https://openalex.org/W2567642374","https://openalex.org/W2571254578","https://openalex.org/W2581086607","https://openalex.org/W2587091533","https://openalex.org/W2590050480","https://openalex.org/W2598863660","https://openalex.org/W2604948230","https://openalex.org/W2605934746","https://openalex.org/W2612739694","https://openalex.org/W2735230884","https://openalex.org/W2735793369","https://openalex.org/W2743999154","https://openalex.org/W2751132408","https://openalex.org/W2757727956","https://openalex.org/W2766391153","https://openalex.org/W2767289262","https://openalex.org/W2769499470","https://openalex.org/W2769764694","https://openalex.org/W2770198223","https://openalex.org/W2770404886","https://openalex.org/W2775969967","https://openalex.org/W2778758646","https://openalex.org/W2783681041","https://openalex.org/W2784189955","https://openalex.org/W2789021101","https://openalex.org/W2789386460","https://openalex.org/W2790635750","https://openalex.org/W2791110762","https://openalex.org/W2794156907","https://openalex.org/W2799789400","https://openalex.org/W2802552971","https://openalex.org/W2803922039","https://openalex.org/W2809268483","https://openalex.org/W2866334298","https://openalex.org/W2883898841","https://openalex.org/W2889816745","https://openalex.org/W2889969436","https://openalex.org/W2891274509","https://openalex.org/W2891393082","https://openalex.org/W2894823007","https://openalex.org/W2909578567","https://openalex.org/W2909698198","https://openalex.org/W2910142630","https://openalex.org/W2922698913","https://openalex.org/W2925458104","https://openalex.org/W2934046414","https://openalex.org/W2938222354","https://openalex.org/W2947033529","https://openalex.org/W2952677397","https://openalex.org/W2954413000","https://openalex.org/W2954613285","https://openalex.org/W2955338161","https://openalex.org/W2962836907","https://openalex.org/W2962850461","https://openalex.org/W2963049813","https://openalex.org/W2963241379","https://openalex.org/W2963389592","https://openalex.org/W2963580884","https://openalex.org/W2963601182","https://openalex.org/W2963711523","https://openalex.org/W2964159855","https://openalex.org/W2964180302","https://openalex.org/W3000631632","https://openalex.org/W3099671035","https://openalex.org/W3100548612","https://openalex.org/W3101417746","https://openalex.org/W3102090507","https://openalex.org/W3105834773","https://openalex.org/W3125952634","https://openalex.org/W4229504545","https://openalex.org/W4230631144","https://openalex.org/W4295021613","https://openalex.org/W6629930100","https://openalex.org/W6632593403","https://openalex.org/W6637968757","https://openalex.org/W6638528822","https://openalex.org/W6639216784","https://openalex.org/W6675354045","https://openalex.org/W6694747506","https://openalex.org/W6696934422","https://openalex.org/W6728589476","https://openalex.org/W6730077026","https://openalex.org/W6732822400","https://openalex.org/W6745693688","https://openalex.org/W6758307948","https://openalex.org/W6764974418"],"related_works":["https://openalex.org/W4361251304","https://openalex.org/W2892987124","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W3174690704","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4221092438","https://openalex.org/W3111395152","https://openalex.org/W4313526662"],"abstract_inverted_index":{"In":[0,192],"the":[1,15,39,45,74,111,131,153,162,169,180,220,251,269,272],"fifth-generation":[2],"(5G)":[3],"mobile":[4,186,257],"networks,":[5],"proactive":[6,156,176,205,233],"network":[7,31,47,234],"optimisation":[8,32,177,235],"plays":[9],"an":[10],"important":[11],"role":[12],"in":[13,84,204,236,275],"meeting":[14],"exponential":[16],"traffic":[17,70,142],"growth,":[18],"more":[19,98],"stringent":[20],"service":[21],"requirements,":[22],"and":[23,27,53,72,96,102,116,141,167,189,209,232,262],"to":[24,43,76,91,100,136,151,155,214],"reduce":[25],"capital":[26],"operational":[28],"expenditure.":[29],"Proactive":[30,61],"is":[33,88],"widely":[34],"acknowledged":[35],"as":[36,125,265,267],"one":[37],"of":[38,67,110,161,175,183,222,245,254,271],"most":[40],"promising":[41,273],"ways":[42],"transform":[44],"5G":[46],"based":[48],"on":[49,114,165],"big":[50,224],"data":[51,122,225,255],"analysis":[52],"cloud-fog-edge":[54],"computing,":[55,228,259],"but":[56],"there":[57],"are":[58,212],"many":[59],"challenges.":[60],"algorithms":[62],"will":[63,129],"require":[64],"accurate":[65],"forecasting":[66],"highly":[68],"contextualised":[69],"demand":[71,143,170],"quantifying":[73],"uncertainty":[75,202],"drive":[77],"decision":[78,105],"making":[79],"with":[80],"performance":[81],"guarantees.":[82],"Context":[83],"Cyber-Physical-Social":[85],"Systems":[86],"(CPSS)":[87],"often":[89],"challenging":[90],"uncover,":[92],"unfolds":[93],"over":[94],"time,":[95],"even":[97],"difficult":[99],"quantify":[101],"integrate":[103],"into":[104],"making.":[106],"The":[107,158,242],"first":[108],"part":[109,160],"review":[112,163],"focuses":[113,164],"mining":[115],"inferring":[117],"CPSS":[118],"context":[119],"from":[120],"heterogeneous":[121],"sources,":[123],"such":[124],"online":[126,223],"user-generated-content.":[127],"It":[128],"examine":[130],"state-of-the-art":[132,196],"methods":[133],"currently":[134],"employed":[135],"infer":[137],"location,":[138],"social":[139],"behaviour,":[140],"through":[144],"a":[145,173,237],"cloud-edge":[146,227],"computing":[147],"framework;":[148],"combining":[149],"them":[150],"form":[152],"input":[154],"algorithms.":[157],"second":[159],"exploiting":[166],"integrating":[168],"knowledge":[171],"for":[172],"range":[174],"techniques,":[178],"including":[179],"key":[181],"aspects":[182],"load":[184],"balancing,":[185],"edge":[187,258],"caching,":[188],"interference":[190],"management.":[191],"both":[193],"parts,":[194],"appropriate":[195],"machine":[197,230],"learning":[198],"techniques":[199],"(including":[200],"probabilistic":[201],"cascades":[203],"optimisation),":[206],"complexity-performance":[207],"trade-offs,":[208],"demonstrative":[210],"examples":[211],"presented":[213],"inspire":[215],"readers.":[216],"This":[217],"survey":[218,247],"couples":[219],"potential":[221],"analytics,":[226,256],"statistical":[229],"learning,":[231],"common":[238],"cross-layer":[239],"wireless":[240,263],"framework.":[241],"wider":[243],"impact":[244],"this":[246,276],"includes":[248],"better":[249],"cross-fertilising":[250],"academic":[252],"fields":[253],"AI,":[260],"CPSS,":[261],"communications,":[264],"well":[266],"informing":[268],"industry":[270],"potentials":[274],"area.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}