{"id":"https://openalex.org/W4399418711","doi":"https://doi.org/10.1145/3651671.3651712","title":"An Efficient Energy Efficiency Maximization Algorithm for Backscatter-Assisted WP-MEC Network with Relay","display_name":"An Efficient Energy Efficiency Maximization Algorithm for Backscatter-Assisted WP-MEC Network with Relay","publication_year":2024,"publication_date":"2024-02-02","ids":{"openalex":"https://openalex.org/W4399418711","doi":"https://doi.org/10.1145/3651671.3651712"},"language":"en","primary_location":{"id":"doi:10.1145/3651671.3651712","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","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/A5039111900","display_name":"Tongyu Wu","orcid":"https://orcid.org/0009-0009-4109-8992"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tongyu Wu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0009-4109-8992","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101911983","display_name":"Huaiwen He","orcid":"https://orcid.org/0000-0003-4437-4277"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaiwen He","raw_affiliation_strings":["School of Computer, University of Electronic Science and Technology of China, Zhongshan Institute, China"],"raw_orcid":"https://orcid.org/0000-0003-4437-4277","affiliations":[{"raw_affiliation_string":"School of Computer, University of Electronic Science and Technology of China, Zhongshan Institute, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039111900"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.8012,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71355115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"720","last_page":"727"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","score":0.9990000128746033,"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":0.9973000288009644,"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":0.7356088161468506},{"id":"https://openalex.org/keywords/relay","display_name":"Relay","score":0.5947560667991638},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5782065391540527},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.5576352477073669},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.540181577205658},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5342539548873901},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.46635308861732483},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.46469423174858093},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.46016618609428406},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.45840293169021606},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4539863169193268},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.43988972902297974},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.4201880693435669},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40113189816474915},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3831825256347656},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3254728317260742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14237859845161438},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09426218271255493},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08851277828216553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7356088161468506},{"id":"https://openalex.org/C2778156585","wikidata":"https://www.wikidata.org/wiki/Q174053","display_name":"Relay","level":3,"score":0.5947560667991638},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5782065391540527},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.5576352477073669},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.540181577205658},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5342539548873901},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.46635308861732483},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46469423174858093},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.46016618609428406},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.45840293169021606},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4539863169193268},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.43988972902297974},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.4201880693435669},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40113189816474915},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3831825256347656},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3254728317260742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14237859845161438},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09426218271255493},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08851277828216553},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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:10.1145/3651671.3651712","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3651671.3651712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 16th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W914916633","https://openalex.org/W1973720496","https://openalex.org/W2094000142","https://openalex.org/W2100573451","https://openalex.org/W2793978979","https://openalex.org/W2902031701","https://openalex.org/W2966277934","https://openalex.org/W3009871193","https://openalex.org/W3088469093","https://openalex.org/W3159814724","https://openalex.org/W3167332257","https://openalex.org/W4285070849","https://openalex.org/W4286579647","https://openalex.org/W4287887765","https://openalex.org/W4311463253","https://openalex.org/W4317935992","https://openalex.org/W4392399469"],"related_works":["https://openalex.org/W2539674285","https://openalex.org/W1038122923","https://openalex.org/W1998322187","https://openalex.org/W2952514781","https://openalex.org/W3019210376","https://openalex.org/W2391145594","https://openalex.org/W2326572623","https://openalex.org/W1559320887","https://openalex.org/W2137838797","https://openalex.org/W4281718224"],"abstract_inverted_index":{"Backscatter":[0],"communication":[1],"(BackCom)":[2],"has":[3],"emerged":[4],"as":[5,108,110],"a":[6,47,130,152],"crucial":[7],"and":[8,33,62,102,172,183,190],"integral":[9],"component":[10],"of":[11,57,197],"future":[12],"6G":[13],"networks.":[14],"It":[15],"enables":[16],"ultra-low":[17],"power":[18,104],"consumption":[19],"for":[20,87,105],"IoT":[21],"devices":[22,69],"in":[23,46,115],"wireless":[24,58,68],"powered":[25],"mobile":[26],"edge":[27],"computing":[28],"(WP-MEC)":[29],"networks":[30],"by":[31,161],"modulating":[32],"reflecting":[34],"incident":[35],"signals.":[36],"This":[37,91],"paper":[38],"addresses":[39],"the":[40,88,94,111,116,125,135,143,163,167,177,192,195],"energy":[41],"efficiency":[42],"(EE)":[43],"optimization":[44],"problem":[45,128,145,155],"backscatter-assisted":[48],"multi-access":[49],"WP-MEC":[50,89],"network":[51,206],"using":[52,134,176],"relay":[53,117],"techniques.":[54],"The":[55],"coupling":[56],"charging":[59],"time":[60,64,98],"fraction":[61],"offloading":[63,97,103,113],"fractions":[65],"among":[66],"all":[67],"(WDs)":[70],"poses":[71],"significant":[72],"challenges.":[73],"To":[74],"overcome":[75],"these":[76],"challenges,":[77],"we":[78,141],"propose":[79],"an":[80],"efficient":[81],"iterative":[82],"algorithm":[83,92],"that":[84,156],"maximizes":[85],"EE":[86],"system.":[90],"determines":[93],"CPU":[95],"frequency,":[96],"fraction,":[99],"reflection":[100],"coefficient,":[101],"each":[106],"WD,":[107],"well":[109],"task":[112],"decisions":[114],"node.":[118],"We":[119],"employ":[120],"Dinkelbach\u2019s":[121],"method":[122,182],"to":[123],"transform":[124],"fractional":[126],"maximization":[127],"into":[129,146],"simpler":[131],"one.":[132],"Additionally,":[133],"block":[136],"coordinate":[137],"descent":[138],"(BCD)":[139],"technique,":[140],"decompose":[142],"transformed":[144],"two":[147],"sub-problems.":[148],"One":[149],"sub-problem":[150,169],"is":[151,170],"linear":[153],"programming":[154],"can":[157,173],"be":[158,174],"solved":[159,175],"directly":[160],"considering":[162],"variable\u2019s":[164],"bounds,":[165],"while":[166],"other":[168],"non-convex":[171],"successive":[178],"convex":[179],"approximation":[180],"(SCA)":[181],"first-order":[184],"Taylor\u2019s":[185],"derivative.":[186],"Through":[187],"numerous":[188],"experiments":[189],"simulations,":[191],"results":[193],"demonstrate":[194],"superiority":[196],"our":[198],"proposed":[199],"scheme":[200],"over":[201],"benchmark":[202],"methods":[203],"under":[204],"various":[205],"conditions.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
