{"id":"https://openalex.org/W2901638075","doi":"https://doi.org/10.1109/ictc.2018.8539698","title":"Spatio-temporal Mobile Data Traffic Modeling Using Fourier Transform Techniques","display_name":"Spatio-temporal Mobile Data Traffic Modeling Using Fourier Transform Techniques","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2901638075","doi":"https://doi.org/10.1109/ictc.2018.8539698","mag":"2901638075"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2018.8539698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5110584978","display_name":"Yosef Abera","orcid":null},"institutions":[{"id":"https://openalex.org/I4537092","display_name":"Addis Ababa University","ror":"https://ror.org/038b8e254","country_code":"ET","type":"education","lineage":["https://openalex.org/I4537092"]}],"countries":["ET"],"is_corresponding":true,"raw_author_name":"Yosef Abera","raw_affiliation_strings":["School of Electrical and Computer Engineering, Addis Ababa University, Ethiopia, Addis Ababa"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Addis Ababa University, Ethiopia, Addis Ababa","institution_ids":["https://openalex.org/I4537092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013687063","display_name":"Dereje Hailemariam","orcid":null},"institutions":[{"id":"https://openalex.org/I4537092","display_name":"Addis Ababa University","ror":"https://ror.org/038b8e254","country_code":"ET","type":"education","lineage":["https://openalex.org/I4537092"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Dereje Hailemariam","raw_affiliation_strings":["School of Electrical and Computer Engineering, Addis Ababa University, Ethiopia, Addis Ababa"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Addis Ababa University, Ethiopia, Addis Ababa","institution_ids":["https://openalex.org/I4537092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110584978"],"corresponding_institution_ids":["https://openalex.org/I4537092"],"apc_list":null,"apc_paid":null,"fwci":0.3863,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64197426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"20","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991000294685364,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9991000294685364,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.996999979019165,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9962999820709229,"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":0.6085906624794006},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4742152690887451},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4720538258552551},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.46352750062942505},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.45370054244995117},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.45186832547187805},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.448606014251709},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.43461620807647705},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39901599287986755},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.34078723192214966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2267928123474121},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.1343294382095337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6085906624794006},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4742152690887451},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4720538258552551},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.46352750062942505},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.45370054244995117},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.45186832547187805},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.448606014251709},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.43461620807647705},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39901599287986755},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.34078723192214966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2267928123474121},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.1343294382095337},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2018.8539698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W241078981","https://openalex.org/W1986085123","https://openalex.org/W2080747748","https://openalex.org/W2103029415","https://openalex.org/W2135769221","https://openalex.org/W2136381646","https://openalex.org/W2149170915","https://openalex.org/W2150166076","https://openalex.org/W2151062451","https://openalex.org/W2329156817","https://openalex.org/W3100139952","https://openalex.org/W3105072513","https://openalex.org/W6785377578"],"related_works":["https://openalex.org/W2118155316","https://openalex.org/W2382218334","https://openalex.org/W2090697566","https://openalex.org/W2116983948","https://openalex.org/W2155549970","https://openalex.org/W3141389362","https://openalex.org/W2057875231","https://openalex.org/W2183119314","https://openalex.org/W2343504300","https://openalex.org/W4386744266"],"abstract_inverted_index":{"The":[0,213],"exponential":[1],"growth":[2],"in":[3,40,80,89,229],"mobile":[4],"data":[5,56,71,131],"traffic":[6,28,38,57,88,132],"is":[7,46,109,136,148,231],"forcing":[8],"telecom":[9],"operators":[10],"to":[11,33,121,138,171,180,257],"invest":[12],"on":[13,68,233],"new":[14],"infrastructures.":[15],"But,":[16],"devising":[17],"techniques":[18],"for":[19,49,209,220],"optimum":[20],"network":[21,52],"utilization,":[22],"which":[23],"can":[24,101],"be":[25,258],"provided":[26],"by":[27,116,141,183],"modeling,":[29],"has":[30],"the":[31,86,103,107,123,127,129,154,191,205,210,218,221,234,255],"potential":[32],"reduce":[34],"investment":[35],"cost.":[36],"Modeling":[37],"variation":[39],"different":[41,162,214,224],"service":[42],"areas":[43,216],"and":[44,60,91,111,166,173,204,251],"time":[45,92],"also":[47],"applicable":[48],"energy":[50],"efficient":[51],"planning,":[53],"understanding":[54],"customers'":[55],"usage":[58],"behavior":[59,125],"dynamic":[61],"resource":[62],"allocation.":[63],"In":[64,190],"this":[65],"paper,":[66],"based":[67],"a":[69,94,98,241,246],"week":[70],"collected":[72],"from":[73,178],"734":[74],"Base":[75],"Stations":[76],"of":[77,106,126,133,164,217,226,236],"an":[78],"operator":[79,222],"Addis":[81],"Ababa,":[82],"Ethiopia,":[83],"we":[84,243],"model":[85,219,249,256],"real":[87],"space":[90],"with":[93,161],"tunable":[95,259],"accuracy.":[96,261],"Firstly,":[97],"rectangle":[99],"that":[100,150,197],"inscribe":[102],"geographical":[104],"area":[105],"city":[108],"selected":[110],"divided":[112],"equally":[113],"into":[114],"N":[115,117],"smaller":[118],"groups.":[119],"Then,":[120],"understand":[122],"temporal":[124],"data,":[128],"time-series":[130],"each":[134],"group":[135],"transformed":[137,177],"spectral":[139,181,192],"domain":[140,182,193],"using":[142],"Fast":[143],"Fourier":[144],"Transform,":[145],"where":[146],"it":[147],"observed":[149],"all":[151],"groups":[152],"have":[153,244],"same":[155],"four":[156],"major":[157],"frequency":[158,195,237],"components":[159,196,238],"but":[160],"magnitude":[163],"coefficients":[165],"phases.":[167],"Secondly,":[168],"matrices":[169],"corresponding":[170],"coefficient":[172],"phase":[174],"values":[175],"are":[176,201,207],"spatial":[179],"applying":[184],"Two":[185],"Dimensional":[186],"Discrete":[187],"Cosine":[188],"Transform.":[189],"higher":[194],"contain":[198],"less":[199],"information":[200],"removed":[202],"out":[203],"remaining":[206],"used":[208],"reverse":[211],"transform.":[212],"application":[215],"require":[223],"level":[225,235,253],"accuracy":[227],"which,":[228],"turn,":[230],"dependent":[232],"truncation.":[239],"As":[240],"result,":[242],"developed":[245],"relation":[247],"between":[248],"performance":[250],"truncation":[252],"making":[254],"around":[260]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}