{"id":"https://openalex.org/W3036425104","doi":"https://doi.org/10.1109/jsyst.2020.2997878","title":"5G Nonstandalone Fusion Networks Based on the Intelligent Transplant Immune Tolerance","display_name":"5G Nonstandalone Fusion Networks Based on the Intelligent Transplant Immune Tolerance","publication_year":2020,"publication_date":"2020-06-16","ids":{"openalex":"https://openalex.org/W3036425104","doi":"https://doi.org/10.1109/jsyst.2020.2997878","mag":"3036425104"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2020.2997878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.2997878","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-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/A5002827063","display_name":"Di Chen","orcid":"https://orcid.org/0000-0002-2377-088X"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","School of Electronic and Information Engineering, Harbin Vocational and Technical College, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Vocational and Technical College, Harbin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045344252","display_name":"Fengbin Zhang","orcid":"https://orcid.org/0000-0002-8609-5340"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengbin Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.0243,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36803952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"15","issue":"1","first_page":"1489","last_page":"1500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10118","display_name":"SARS-CoV-2 and COVID-19 Research","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10118","display_name":"SARS-CoV-2 and COVID-19 Research","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11754","display_name":"SARS-CoV-2 detection and testing","score":0.9501000046730042,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6891129612922668},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.548862874507904},{"id":"https://openalex.org/keywords/artificial-immune-system","display_name":"Artificial immune system","score":0.4523988962173462},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.432958722114563},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3696601390838623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3110668361186981},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12420812249183655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891129612922668},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.548862874507904},{"id":"https://openalex.org/C93768804","wikidata":"https://www.wikidata.org/wiki/Q2518735","display_name":"Artificial immune system","level":2,"score":0.4523988962173462},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.432958722114563},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3696601390838623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3110668361186981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12420812249183655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2020.2997878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2020.2997878","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G2575292380","display_name":null,"funder_award_id":"F2018019","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G3256725944","display_name":"\u514d\u75ab\u5165\u4fb5\u68c0\u6d4b\u52a8\u6001\u81ea\u9002\u5e94\u673a\u5236\u7814\u7a76","funder_award_id":"61172168","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2041018031","https://openalex.org/W2072580964","https://openalex.org/W2111124230","https://openalex.org/W2185505731","https://openalex.org/W2297404209","https://openalex.org/W2560101148","https://openalex.org/W2607335761","https://openalex.org/W2716916105","https://openalex.org/W2734140326","https://openalex.org/W2746653001","https://openalex.org/W2755940713","https://openalex.org/W2789270618","https://openalex.org/W2789459579","https://openalex.org/W2790341443","https://openalex.org/W2794475385","https://openalex.org/W2794671395","https://openalex.org/W2804115718","https://openalex.org/W2839188019","https://openalex.org/W2859605380","https://openalex.org/W2862591586","https://openalex.org/W2884338260","https://openalex.org/W2889020699","https://openalex.org/W2889108654","https://openalex.org/W2895932734","https://openalex.org/W2899479756","https://openalex.org/W2902952649","https://openalex.org/W2915279551","https://openalex.org/W2940787893","https://openalex.org/W2947400732","https://openalex.org/W2961977551","https://openalex.org/W2976624224","https://openalex.org/W4232872328","https://openalex.org/W6686672770","https://openalex.org/W6750350155"],"related_works":["https://openalex.org/W3008339103","https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W4241418540","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W1590965489"],"abstract_inverted_index":{"Fifth-generation":[0],"(5G)":[1],"nonstandalone":[2],"(NSA)":[3],"uses":[4],"the":[5,10,18,29,38,48,51,62,70,80,90,97,107,113,117,120,127,130,135,143,149,152,156,160,173,181,190,193,197,205],"4G":[6],"infrastructure":[7],"to":[8,60,104,124,141],"realize":[9],"rapid":[11],"deployment":[12],"of":[13,20,28,32,41,53,64,109,129,145,199,208],"5G,":[14],"which":[15,147],"will":[16],"challenge":[17],"convergence":[19],"network":[21],"architecture,":[22],"signaling":[23,65,162,195],"recognition,":[24],"and":[25,67,112,119,155,168,196,201,203],"editing":[26],"capabilities":[27],"next":[30],"generation":[31],"mobile":[33,72],"communications":[34],"systems.":[35,74],"Inspired":[36],"by":[37,56],"immune":[39,57],"technology":[40],"allograft":[42],"transplantation,":[43],"this":[44],"article":[45],"proposes":[46],"for":[47],"first":[49],"time":[50],"mechanism":[52,93,154],"antirejection":[54],"induced":[55],"tolerance":[58],"(IT)":[59],"solve":[61],"problem":[63],"recognition":[66,132],"fusion":[68,86],"between":[69,116,151,192],"heterogeneous":[71,194],"communication":[73],"First,":[75],"with":[76],"transplantation":[77],"immunity":[78],"as":[79],"technical":[81],"background,":[82],"a":[83],"5G":[84],"NSA":[85],"architecture":[87],"based":[88,165,171],"on":[89,166,172],"adaptive":[91],"IT":[92,153],"was":[94,139],"constructed.":[95],"Then,":[96],"deep":[98],"learning":[99],"(DL)":[100],"algorithm":[101],"is":[102,122,163],"used":[103,123,140],"efficiently":[105],"identify":[106,186],"type":[108],"donor":[110,121,161,187],"protocol,":[111],"affinity":[114,191],"calculation":[115,138],"recipient":[118],"further":[125],"enhance":[126],"correctness":[128],"model":[131],"results.":[133],"Meanwhile,":[134],"antibody":[136],"concentration":[137],"maintain":[142],"diversity":[144],"antibodies,":[146],"realized":[148],"complementarity":[150],"DL":[157],"algorithm.":[158],"Finally,":[159],"decoded":[164],"xor":[167],"encoded":[169],"again":[170],"gene":[174],"bit":[175],"field.":[176],"Simulation":[177],"results":[178],"show":[179],"that":[180],"proposed":[182],"method":[183],"can":[184],"effectively":[185],"signaling,":[188],"improve":[189],"efficiency":[198],"encoding":[200],"decoding,":[202],"broaden":[204],"research":[206],"boundary":[207],"artificial":[209],"immunity.":[210]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
