{"id":"https://openalex.org/W3020517146","doi":"https://doi.org/10.1109/isc246665.2019.9071754","title":"Combined Compressive Sampling Techniques and Features Detection using Kullback Leibler Distance to Manage Handovers","display_name":"Combined Compressive Sampling Techniques and Features Detection using Kullback Leibler Distance to Manage Handovers","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3020517146","doi":"https://doi.org/10.1109/isc246665.2019.9071754","mag":"3020517146"},"language":"en","primary_location":{"id":"doi:10.1109/isc246665.2019.9071754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc246665.2019.9071754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Smart Cities Conference (ISC2)","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/A5037795868","display_name":"Adnane El Hanjri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Adnane EL HANJRI","raw_affiliation_strings":["IR2M laboratory FST, Hassan 1st University, Settat, Morocco"],"affiliations":[{"raw_affiliation_string":"IR2M laboratory FST, Hassan 1st University, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073355809","display_name":"Aawatif Hayar","orcid":"https://orcid.org/0000-0003-0942-3889"},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Aawatif HAYAR","raw_affiliation_strings":["Smart city team / RITM Lab CED ENSEM/ TICDev R&D Centre Head of Casablanca IEEE Core SC project Head of GreenTIC Reaserch center, University Hassan II, Casablanca, Morocco"],"affiliations":[{"raw_affiliation_string":"Smart city team / RITM Lab CED ENSEM/ TICDev R&D Centre Head of Casablanca IEEE Core SC project Head of GreenTIC Reaserch center, University Hassan II, Casablanca, Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046331572","display_name":"Abdelkrim Haqiq","orcid":"https://orcid.org/0000-0002-8857-6586"},"institutions":[{"id":"https://openalex.org/I4210145365","display_name":"Universit\u00e9 Hassan 1er","ror":"https://ror.org/03cdvht47","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210145365"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdelkrim HAQIQ","raw_affiliation_strings":["IR2M laboratory FST, Hassan 1st University, Settat, Morocco"],"affiliations":[{"raw_affiliation_string":"IR2M laboratory FST, Hassan 1st University, Settat, Morocco","institution_ids":["https://openalex.org/I4210145365"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037795868"],"corresponding_institution_ids":["https://openalex.org/I4210145365"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.23406644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"504","last_page":"507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/akaike-information-criterion","display_name":"Akaike information criterion","score":0.87080979347229},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7013967633247375},{"id":"https://openalex.org/keywords/handover","display_name":"Handover","score":0.6611026525497437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6411235332489014},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5703296661376953},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5078619122505188},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5072188377380371},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4619150161743164},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.45857080817222595},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4105808734893799},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3220953941345215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26950374245643616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2611722946166992},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23998647928237915},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1683340072631836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16801315546035767}],"concepts":[{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.87080979347229},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7013967633247375},{"id":"https://openalex.org/C111852164","wikidata":"https://www.wikidata.org/wiki/Q1414679","display_name":"Handover","level":2,"score":0.6611026525497437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6411235332489014},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5703296661376953},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5078619122505188},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5072188377380371},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4619150161743164},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.45857080817222595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4105808734893799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3220953941345215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26950374245643616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2611722946166992},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23998647928237915},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1683340072631836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16801315546035767},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isc246665.2019.9071754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc246665.2019.9071754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Smart Cities Conference (ISC2)","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":10,"referenced_works":["https://openalex.org/W335759638","https://openalex.org/W1661919313","https://openalex.org/W2031007827","https://openalex.org/W2058815839","https://openalex.org/W2119667497","https://openalex.org/W2121925528","https://openalex.org/W2137463529","https://openalex.org/W2296616510","https://openalex.org/W2596564698","https://openalex.org/W2949311731"],"related_works":["https://openalex.org/W1987464952","https://openalex.org/W2735932032","https://openalex.org/W2028169157","https://openalex.org/W2172884470","https://openalex.org/W2188061941","https://openalex.org/W2148077962","https://openalex.org/W4253044522","https://openalex.org/W1980950130","https://openalex.org/W1999109251","https://openalex.org/W2040889573"],"abstract_inverted_index":{"In":[0,41],"this":[1,42],"paper,":[2],"we":[3,44],"present":[4],"a":[5],"new":[6],"Handover":[7],"technique":[8],"which":[9],"combines":[10],"Distribution":[11,110],"Analysis":[12,111],"Detector":[13,112],"and":[14,32,58,69,92,97],"Compressive":[15,79],"Sampling":[16,80],"Techniques.":[17],"The":[18,78],"proposed":[19],"approach":[20],"consists":[21],"of":[22,30,99],"analysing":[23,33],"Received":[24,34],"Signal":[25,35],"probability":[26],"density":[27],"function":[28],"instead":[29],"demodulating":[31],"itself":[36],"as":[37],"in":[38,61,103],"classical":[39],"handover.":[40],"method":[43],"will":[45],"exploit":[46],"some":[47],"mathematical":[48],"tools":[49],"like":[50],"Kullback":[51],"Leibler":[52],"Distance,":[53],"Akaike":[54,59],"Information":[55],"Criterion":[56],"(AIC)":[57],"weights,":[60],"order":[62,104],"to":[63,84,93,105,108],"decide":[64],"blindly":[65],"the":[66,70,88,95,100,114],"best":[67,71],"handover":[68],"Base":[72],"Station":[73],"(BS)":[74],"for":[75],"each":[76],"user.":[77],"algorithm":[81],"is":[82],"designed":[83],"take":[85],"advantage":[86],"from":[87],"primary":[89],"signals":[90],"sparsity":[91],"keep":[94],"linearity":[96],"properties":[98],"original":[101],"signal":[102],"be":[106],"able":[107],"apply":[109],"on":[113],"compressed":[115],"measurements.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
