{"id":"https://openalex.org/W2936845162","doi":"https://doi.org/10.1109/vtcfall.2018.8690897","title":"Sum-Throughput Maximization for MIMO Full-Duplex Wireless Powered Communication Network with Finite Alphabet Inputs","display_name":"Sum-Throughput Maximization for MIMO Full-Duplex Wireless Powered Communication Network with Finite Alphabet Inputs","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2936845162","doi":"https://doi.org/10.1109/vtcfall.2018.8690897","mag":"2936845162"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2018.8690897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","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/A5031413434","display_name":"Yingru Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingru Peng","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058400703","display_name":"Feng Ke","orcid":"https://orcid.org/0000-0003-0043-1655"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Ke","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031413434"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.3863,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65327812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":1.0,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":1.0,"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/T12791","display_name":"Full-Duplex Wireless Communications","score":0.9998000264167786,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9983000159263611,"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/precoding","display_name":"Precoding","score":0.733196496963501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6513347029685974},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.6505589485168457},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6025844812393188},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5151807069778442},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.49620920419692993},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4885643422603607},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.48434603214263916},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.47810858488082886},{"id":"https://openalex.org/keywords/subgradient-method","display_name":"Subgradient method","score":0.43960168957710266},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4154786765575409},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4075917601585388},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3428748846054077},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3109871447086334},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.2918112874031067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25138166546821594},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08290758728981018}],"concepts":[{"id":"https://openalex.org/C160562895","wikidata":"https://www.wikidata.org/wiki/Q7239557","display_name":"Precoding","level":4,"score":0.733196496963501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6513347029685974},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.6505589485168457},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6025844812393188},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5151807069778442},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.49620920419692993},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4885643422603607},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.48434603214263916},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.47810858488082886},{"id":"https://openalex.org/C158968445","wikidata":"https://www.wikidata.org/wiki/Q7631150","display_name":"Subgradient method","level":2,"score":0.43960168957710266},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4154786765575409},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4075917601585388},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3428748846054077},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3109871447086334},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.2918112874031067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25138166546821594},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08290758728981018},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/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/vtcfall.2018.8690897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2018.8690897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1916723779","https://openalex.org/W1966000877","https://openalex.org/W2017551824","https://openalex.org/W2068499153","https://openalex.org/W2094000142","https://openalex.org/W2134295053","https://openalex.org/W2140684029","https://openalex.org/W2147431204","https://openalex.org/W2344634978","https://openalex.org/W2626109724","https://openalex.org/W2963101803","https://openalex.org/W2963852239","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2359120930","https://openalex.org/W2037613239","https://openalex.org/W3084689723","https://openalex.org/W3161275408","https://openalex.org/W2140018151","https://openalex.org/W3088056528","https://openalex.org/W2811183536","https://openalex.org/W4312559935","https://openalex.org/W2020887976","https://openalex.org/W3145823596"],"abstract_inverted_index":{"In":[0,27],"this":[1],"paper,":[2],"we":[3,29,94],"maximize":[4],"the":[5,20,53,60,67,85,89,102],"sum-throughput":[6],"of":[7],"a":[8,31,72,78,96],"multi-user":[9],"MIMO":[10],"full-duplex":[11],"wireless":[12],"powered":[13],"communication":[14],"network":[15],"(FD-WPCN)":[16],"by":[17],"jointly":[18],"optimizing":[19,84],"precoding":[21,61,86],"matrices":[22,62,87],"and":[23,38,48,88],"time":[24,54,80,90],"allocation":[25,55,75,81,91],"vector.":[26,82],"particular,":[28],"consider":[30],"more":[32],"practical":[33],"scenario":[34],"with":[35,59],"energy":[36],"causality":[37],"finite":[39],"alphabet":[40],"inputs.":[41],"The":[42,105],"original":[43],"optimization":[44],"problem":[45,56,76],"is":[46,57],"non-convex":[47],"intractable.":[49],"We":[50,64],"prove":[51],"that":[52,109],"convex":[58,73],"fixed.":[63],"also":[65],"simplify":[66],"optimal":[68,103],"precoder":[69],"design":[70],"to":[71,100],"power":[74],"for":[77],"given":[79],"By":[83],"vector":[92],"alternately,":[93],"propose":[95],"two-step":[97],"iterative":[98],"algorithm":[99],"find":[101],"solution.":[104],"simulation":[106],"results":[107],"show":[108],"our":[110],"scheme":[111],"outperforms":[112],"other":[113],"benchmark":[114],"schemes":[115],"significantly.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
