{"id":"https://openalex.org/W2526754059","doi":"https://doi.org/10.1109/iwcmc.2016.7577171","title":"New tighter upper bounds on the performance of convolutional code over exponentially correlated Rayleigh fading channel","display_name":"New tighter upper bounds on the performance of convolutional code over exponentially correlated Rayleigh fading channel","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2526754059","doi":"https://doi.org/10.1109/iwcmc.2016.7577171","mag":"2526754059"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2016.7577171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2016.7577171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5027360297","display_name":"Yassine Mouchtak","orcid":"https://orcid.org/0000-0001-8967-6039"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Yassine Mouchtak","raw_affiliation_strings":["ENSIAS Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"ENSIAS Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075380587","display_name":"Faissal El Bouanani","orcid":"https://orcid.org/0000-0001-8141-6793"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Faissal El Bouanani","raw_affiliation_strings":["ENSIAS Mohammed V University in Rabat, Morocco"],"affiliations":[{"raw_affiliation_string":"ENSIAS Mohammed V University in Rabat, Morocco","institution_ids":["https://openalex.org/I126477371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027360297"],"corresponding_institution_ids":["https://openalex.org/I126477371"],"apc_list":null,"apc_paid":null,"fwci":0.5513,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71394299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"863","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998999834060669,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998999834060669,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9997000098228455,"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/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.8029223680496216},{"id":"https://openalex.org/keywords/pairwise-error-probability","display_name":"Pairwise error probability","score":0.7928529381752014},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5877522230148315},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.5763025879859924},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5296290516853333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5252477526664734},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.501824140548706},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4933580458164215},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4683726727962494},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.45547011494636536},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.42768988013267517},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4183003008365631},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41181641817092896},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3566431403160095},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3532918095588684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30853503942489624},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2137095034122467},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15311136841773987},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.15081137418746948}],"concepts":[{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.8029223680496216},{"id":"https://openalex.org/C2780839233","wikidata":"https://www.wikidata.org/wiki/Q16000284","display_name":"Pairwise error probability","level":4,"score":0.7928529381752014},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5877522230148315},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.5763025879859924},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5296290516853333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5252477526664734},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.501824140548706},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4933580458164215},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4683726727962494},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.45547011494636536},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.42768988013267517},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4183003008365631},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41181641817092896},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3566431403160095},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3532918095588684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30853503942489624},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2137095034122467},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15311136841773987},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.15081137418746948},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2016.7577171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2016.7577171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522045078","https://openalex.org/W1572157493","https://openalex.org/W1614622066","https://openalex.org/W2004052686","https://openalex.org/W2053166411","https://openalex.org/W2066086524","https://openalex.org/W2092454539","https://openalex.org/W2099967175","https://openalex.org/W2104453813","https://openalex.org/W2109191808","https://openalex.org/W2110570381","https://openalex.org/W2123146106","https://openalex.org/W2126366089","https://openalex.org/W2128978199","https://openalex.org/W2145136524","https://openalex.org/W2493309683","https://openalex.org/W6631489283","https://openalex.org/W6634296023","https://openalex.org/W6636474671","https://openalex.org/W6653596126"],"related_works":["https://openalex.org/W2772097690","https://openalex.org/W2610189143","https://openalex.org/W2159424856","https://openalex.org/W2148308628","https://openalex.org/W2120702055","https://openalex.org/W1489099099","https://openalex.org/W2886934452","https://openalex.org/W2370409207","https://openalex.org/W2024369332","https://openalex.org/W1974955043"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"tighter":[3,13,74],"bounds":[4,15],"on":[5],"the":[6,81,103,109,116],"pairwise":[7],"error-event":[8],"probability":[9],"and":[10,50],"therefore":[11],"very":[12],"upper":[14,45],"of":[16,59,88,112],"bit":[17],"error":[18],"rate(BER)":[19],"for":[20,47,93,108],"communication":[21],"systems":[22],"employing":[23],"convolutional":[24],"code":[25],"over":[26,89],"Rayleigh":[27],"fading":[28],"channel":[29,61],"with":[30],"exponential":[31],"correlation":[32],"coefficient.":[33],"To":[34],"obtain":[35],"our":[36,70],"bound,":[37,106],"we":[38,114],"start":[39],"by":[40],"proposing":[41],"a":[42,55],"closed":[43],"form":[44],"bound":[46,58,72],"Gaussian":[48],"Q-function":[49],"as":[51,53],"well":[52],"deriving":[54],"new":[56],"lower":[57,110],"each":[60],"covariance":[62,82],"matrix":[63],"eigenvalue.":[64],"The":[65],"simulation":[66],"results":[67],"show":[68],"that":[69],"proposed":[71],"is":[73],"than":[75],"those":[76],"previously":[77],"developed,":[78],"especially":[79],"when":[80],"parameter":[83],"q":[84,94,113],"increases.":[85],"A":[86],"gain":[87],"6.5dB":[90],"was":[91],"achieved":[92],"=":[95],"0.95":[96],"at":[97],"BER=10":[98],"<sup":[99],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[100],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-5</sup>":[101],"from":[102],"better":[104],"previous":[105],"whereas":[107],"values":[111],"reach":[115],"simulated":[117],"curve.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
