{"id":"https://openalex.org/W2957636246","doi":"https://doi.org/10.1109/icc.2019.8761530","title":"Joint Power Allocation and Rate Control for NOMA-Based Space Information Networks","display_name":"Joint Power Allocation and Rate Control for NOMA-Based Space Information Networks","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2957636246","doi":"https://doi.org/10.1109/icc.2019.8761530","mag":"2957636246"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2019.8761530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","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/A5030767096","display_name":"Yunyu Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyu Sun","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047916298","display_name":"Jian Jiao","orcid":"https://orcid.org/0000-0002-7988-9820"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Jiao","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684143","display_name":"Shaohua Wu","orcid":"https://orcid.org/0000-0002-6950-0594"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Wu","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423438","display_name":"Ye Wang","orcid":"https://orcid.org/0000-0002-0464-9136"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Wang","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071725895","display_name":"Qinyu Zhang","orcid":"https://orcid.org/0000-0001-9272-0475"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinyu Zhang","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2109,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79764273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T11458","display_name":"Advanced Wireless Communication Technologies","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/T11458","display_name":"Advanced Wireless Communication Technologies","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/T12042","display_name":"Satellite Communication Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12079","display_name":"IoT Networks and Protocols","score":0.9973000288009644,"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":0.7439255714416504},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.6738725304603577},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6512775421142578},{"id":"https://openalex.org/keywords/lyapunov-optimization","display_name":"Lyapunov optimization","score":0.6499256491661072},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.593125581741333},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.585108757019043},{"id":"https://openalex.org/keywords/noma","display_name":"Noma","score":0.5611053705215454},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5378118753433228},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.533656656742096},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.42937445640563965},{"id":"https://openalex.org/keywords/power-control","display_name":"Power control","score":0.4289695620536804},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.36686527729034424},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18780642747879028},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1359131634235382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11439770460128784},{"id":"https://openalex.org/keywords/lyapunov-exponent","display_name":"Lyapunov exponent","score":0.07209336757659912}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439255714416504},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.6738725304603577},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6512775421142578},{"id":"https://openalex.org/C101403955","wikidata":"https://www.wikidata.org/wiki/Q6707083","display_name":"Lyapunov optimization","level":5,"score":0.6499256491661072},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.593125581741333},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.585108757019043},{"id":"https://openalex.org/C2775918612","wikidata":"https://www.wikidata.org/wiki/Q994794","display_name":"Noma","level":3,"score":0.5611053705215454},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5378118753433228},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.533656656742096},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.42937445640563965},{"id":"https://openalex.org/C56685638","wikidata":"https://www.wikidata.org/wiki/Q2300474","display_name":"Power control","level":3,"score":0.4289695620536804},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.36686527729034424},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18780642747879028},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1359131634235382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11439770460128784},{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.07209336757659912},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C37935115","wikidata":"https://www.wikidata.org/wiki/Q6707085","display_name":"Lyapunov redesign","level":4,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2019.8761530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2019 - 2019 IEEE International Conference on Communications (ICC)","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":16,"referenced_works":["https://openalex.org/W1922937245","https://openalex.org/W2065365556","https://openalex.org/W2137152139","https://openalex.org/W2148622067","https://openalex.org/W2149200615","https://openalex.org/W2560573919","https://openalex.org/W2626422957","https://openalex.org/W2734990044","https://openalex.org/W2772001017","https://openalex.org/W2790564976","https://openalex.org/W2805974611","https://openalex.org/W2811787450","https://openalex.org/W2902130699","https://openalex.org/W2964008556","https://openalex.org/W3099378150","https://openalex.org/W3103423272"],"related_works":["https://openalex.org/W3165611029","https://openalex.org/W2370038111","https://openalex.org/W4392158087","https://openalex.org/W2395708164","https://openalex.org/W2115199292","https://openalex.org/W2391952834","https://openalex.org/W2059864367","https://openalex.org/W1601261305","https://openalex.org/W1984551944","https://openalex.org/W2019012533"],"abstract_inverted_index":{"In":[0],"this":[1,52,93],"paper,":[2],"we":[3,35,54,78],"propose":[4],"a":[5,61,88,98],"novel":[6],"power":[7,28,65],"allocation":[8,44,66,110],"scheme":[9,112],"of":[10,41,63,126],"downlink":[11],"non-orthogonal":[12],"multiple":[13,119],"access":[14],"(NOMA)":[15],"system":[16],"for":[17,92,113],"space":[18],"information":[19],"networks":[20],"(SINs).":[21],"Since":[22],"the":[23,56,73,80,106],"communication":[24],"resources":[25],"such":[26],"as":[27],"and":[29,67,118,133],"storage":[30],"on":[31,37],"satellites":[32],"are":[33],"limited,":[34],"focus":[36],"an":[38],"optimization":[39,58,75,83,95,109],"policy":[40],"long-term":[42,57,127],"resource":[43],"to":[45,86],"meet":[46],"these":[47],"practical":[48],"constraints.":[49],"To":[50],"address":[51],"problem,":[53,96],"convert":[55],"problem":[59],"into":[60],"series":[62],"online":[64],"rate":[68,132],"control":[69],"problems":[70],"by":[71],"leveraging":[72],"Lyapunov":[74],"framework.":[76],"Then,":[77],"employ":[79],"particle":[81],"swarm":[82],"(PSO)":[84],"algorithm":[85],"derive":[87],"globally":[89],"optimal":[90],"solution":[91],"joint":[94,108],"with":[97],"linear":[99],"computational":[100],"complexity.":[101],"Simulation":[102],"results":[103],"show":[104],"that":[105],"proposed":[107],"NOMA":[111,121],"SIN":[114],"can":[115],"outperform":[116],"OMA":[117],"sub-optimal":[120],"benchmark":[122],"schemes,":[123],"in":[124],"terms":[125],"network":[128],"utility,":[129],"average":[130],"arriving":[131],"queuing":[134],"delay.":[135]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}