{"id":"https://openalex.org/W4406355525","doi":"https://doi.org/10.1109/wcsp62071.2024.10827546","title":"Robust Joint Optimization for Multi-Cell Backscatter Communication System: A Deep Reinforcement Learning Approach","display_name":"Robust Joint Optimization for Multi-Cell Backscatter Communication System: A Deep Reinforcement Learning Approach","publication_year":2024,"publication_date":"2024-10-24","ids":{"openalex":"https://openalex.org/W4406355525","doi":"https://doi.org/10.1109/wcsp62071.2024.10827546"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp62071.2024.10827546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10827546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112249705","display_name":"Yuanyuan Lei","orcid":"https://orcid.org/0009-0007-4134-8192"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Lei","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112642064","display_name":"Chenyang Du","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Du","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Meiying Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiying Yang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044228369","display_name":"Jing Guo","orcid":"https://orcid.org/0000-0001-6752-6064"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Guo","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447295","display_name":"Ming Zeng","orcid":"https://orcid.org/0000-0002-7464-893X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zeng","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology,Beijing,China,100081","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1241","last_page":"1246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9994999766349792,"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":0.9994999766349792,"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":0.930400013923645,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7951459884643555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6055887937545776},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.592616617679596},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.45264673233032227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3875877857208252},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1663086712360382},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.09765076637268066},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09333533048629761},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.08160877227783203}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7951459884643555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055887937545776},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.592616617679596},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.45264673233032227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3875877857208252},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1663086712360382},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.09765076637268066},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09333533048629761},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.08160877227783203}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp62071.2024.10827546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp62071.2024.10827546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G905389181","display_name":null,"funder_award_id":"BK20212001","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2775135700","https://openalex.org/W2902031701","https://openalex.org/W2963182284","https://openalex.org/W2967817571","https://openalex.org/W2983834903","https://openalex.org/W3014951170","https://openalex.org/W3213908433","https://openalex.org/W3215692849","https://openalex.org/W4221028663","https://openalex.org/W4323644250","https://openalex.org/W4367277021","https://openalex.org/W4377712665","https://openalex.org/W4379382671","https://openalex.org/W4381735499","https://openalex.org/W4382119146","https://openalex.org/W4386113723","https://openalex.org/W4388676622","https://openalex.org/W4390603935","https://openalex.org/W4392581052"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Backscatter":[0],"communication(BackCom)":[1],"has":[2],"emerged":[3],"as":[4],"an":[5],"ultra-low":[6],"power":[7,105],"technology":[8],"that":[9],"enables":[10],"battery-free":[11],"devices":[12],"for":[13,64,153],"various":[14],"Internet":[15],"of":[16,31,80,100,106,156,167],"Things":[17],"scenarios.":[18],"To":[19,75],"improve":[20],"the":[21,24,35,38,42,52,60,70,77,81,97,103,109,125,141,148,154,163],"network":[22],"performance,":[23],"resource":[25,62],"allocation":[26,63],"is":[27,47,73,90,114,145],"important;":[28],"however,":[29],"most":[30],"prior":[32],"works":[33],"developed":[34,91],"strategy":[36],"under":[37],"ideal":[39],"case,":[40],"i.e.,":[41],"channel":[43],"state":[44],"information":[45],"(CSI)":[46],"perfect,":[48],"which":[49],"can":[50],"worsen":[51],"performance.":[53],"Hence,":[54],"in":[55],"this":[56],"paper,":[57],"we":[58,130],"investigate":[59],"robust":[61,85,133],"a":[65,84,117,132],"multi-cell":[66],"BackCom":[67],"system,":[68,83],"where":[69,140],"imperfect":[71,157],"CSI":[72,144],"considered.":[74],"maximize":[76],"sum":[78],"rate":[79],"considered":[82],"deep":[86,136],"reinforcement":[87],"learning-based":[88],"algorithm":[89],"by":[92],"jointly":[93],"optimizing":[94],"spectrum":[95],"allocation,":[96],"reflection":[98],"coefficients":[99],"tags,":[101],"and":[102,165],"transmit":[104],"readers.":[107],"Specifically,":[108],"original":[110],"non-convex":[111],"optimization":[112],"problem":[113],"transformed":[115],"into":[116],"Markov":[118],"decision":[119],"process.":[120],"Then,":[121],"to":[122,151],"effectively":[123],"handle":[124],"discrete-continuous":[126],"hybrid":[127],"action":[128],"space,":[129],"propose":[131],"multi-agent":[134],"parametrized":[135],"Q-network":[137],"(MAPDQN)":[138],"algorithm,":[139],"artificial":[142],"distorted":[143],"introduced":[146],"during":[147],"training":[149],"phase":[150],"compensate":[152],"error":[155],"CSI.":[158],"The":[159],"numerical":[160],"results":[161],"demonstrate":[162],"effectiveness":[164],"robustness":[166],"our":[168],"proposed":[169],"algorithm.":[170]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
