{"id":"https://openalex.org/W3036125915","doi":"https://doi.org/10.1109/wcnc45663.2020.9120589","title":"Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users","display_name":"Real Entropy Can Also Predict Daily Voice Traffic for Wireless Network Users","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3036125915","doi":"https://doi.org/10.1109/wcnc45663.2020.9120589","mag":"3036125915"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc45663.2020.9120589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc45663.2020.9120589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5002524087","display_name":"Sihai Zhang","orcid":"https://orcid.org/0000-0001-5758-2169"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihai Zhang","raw_affiliation_strings":["Key Laboratory of Wireless-Optical Communications, University of Science & Technology of China, Hefei, Anhui, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wireless-Optical Communications, University of Science & Technology of China, Hefei, Anhui, P.R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103208719","display_name":"Junyao Guo","orcid":"https://orcid.org/0000-0002-0967-1762"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyao Guo","raw_affiliation_strings":["Key Laboratory of Wireless-Optical Communications, University of Science & Technology of China, Hefei, Anhui, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wireless-Optical Communications, University of Science & Technology of China, Hefei, Anhui, P.R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102851469","display_name":"Tian Lan","orcid":"https://orcid.org/0000-0003-1423-4396"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Lan","raw_affiliation_strings":["Key Laboratory of Wireless-Optical Communications, University of Science & Technology of China, Hefei, Anhui, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wireless-Optical Communications, University of Science & Technology of China, Hefei, Anhui, P.R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101887041","display_name":"Rui Sun","orcid":"https://orcid.org/0000-0002-8009-4240"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Sun","raw_affiliation_strings":["Key Laboratory of Wireless-Optical Communications, University of Science & Technology of China, Hefei, Anhui, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wireless-Optical Communications, University of Science & Technology of China, Hefei, Anhui, P.R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101904291","display_name":"Jinkang Zhu","orcid":"https://orcid.org/0000-0001-9177-0315"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinkang Zhu","raw_affiliation_strings":["PCNSS, University of Science & Technology of China, Hefei, Anhui, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PCNSS, University of Science & Technology of China, Hefei, Anhui, P.R. China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.9035942554473877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7370075583457947},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5608028173446655},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5454710721969604},{"id":"https://openalex.org/keywords/maximum-entropy-markov-model","display_name":"Maximum-entropy Markov model","score":0.5365597605705261},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.46512317657470703},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4513883888721466},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4491880536079407},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.44000348448753357},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.43700116872787476},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.42532920837402344},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.42332321405410767},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.42199790477752686},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40606755018234253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37906453013420105},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.27430638670921326},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.13448414206504822},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10907331109046936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09455552697181702}],"concepts":[{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.9035942554473877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7370075583457947},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5608028173446655},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5454710721969604},{"id":"https://openalex.org/C196956702","wikidata":"https://www.wikidata.org/wiki/Q6795829","display_name":"Maximum-entropy Markov model","level":5,"score":0.5365597605705261},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.46512317657470703},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4513883888721466},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4491880536079407},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.44000348448753357},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.43700116872787476},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.42532920837402344},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.42332321405410767},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.42199790477752686},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40606755018234253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37906453013420105},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27430638670921326},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.13448414206504822},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10907331109046936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09455552697181702},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc45663.2020.9120589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc45663.2020.9120589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1567487939","https://openalex.org/W1584274328","https://openalex.org/W1964461063","https://openalex.org/W1975549563","https://openalex.org/W1987228002","https://openalex.org/W2009654461","https://openalex.org/W2024877464","https://openalex.org/W2047790076","https://openalex.org/W2052024782","https://openalex.org/W2110953678","https://openalex.org/W2386695660","https://openalex.org/W2514159439","https://openalex.org/W2573587735","https://openalex.org/W2907637692","https://openalex.org/W2982300699"],"related_works":["https://openalex.org/W2134386692","https://openalex.org/W2379938888","https://openalex.org/W1510894296","https://openalex.org/W2116722627","https://openalex.org/W1977445474","https://openalex.org/W4233405330","https://openalex.org/W2194396582","https://openalex.org/W2082284720","https://openalex.org/W2566202039","https://openalex.org/W2799426416"],"abstract_inverted_index":{"Voice":[0],"traffic":[1,48,54,67,109],"prediction":[2,23,42,70,120],"is":[3,57],"significant":[4],"for":[5],"network":[6,13],"deployment":[7],"optimization":[8],"thus":[9],"to":[10,94],"improve":[11],"the":[12,35,53,63,69,95,102,113,116],"efficiency.":[14],"The":[15],"real":[16,36,64,103,117],"entropy":[17,37,104,118],"based":[18,38,77,119],"theorectical":[19],"bound":[20],"and":[21,41,59,79,91],"corresponding":[22],"models":[24,43,88],"have":[25],"demonstrated":[26],"their":[27],"success":[28],"in":[29],"mobility":[30],"prediction.":[31,49],"In":[32],"this":[33,51],"paper,":[34],"predictability":[39],"analysis":[40],"are":[44,82],"introduced":[45],"into":[46],"voice":[47,66,108],"For":[50],"adoption,":[52],"quantification":[55],"methods":[56],"proposed":[58],"discussed.":[60],"Based":[61],"on":[62,115],"world":[65],"data,":[68],"accuracy":[71],"of":[72],"N-order":[73],"Markov":[74,87],"models,":[75],"diffusion":[76],"model":[78,81],"MF":[80],"presented,":[83],"among":[84],"which,":[85],"25-order":[86],"performs":[89],"best":[90],"approach":[92],"close":[93],"maximum":[96],"predictability.":[97],"This":[98],"work":[99],"demonstrates":[100],"that,":[101],"can":[105],"also":[106],"predict":[107],"well":[110],"which":[111],"broaden":[112],"understanding":[114],"theory.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}