{"id":"https://openalex.org/W4290996445","doi":"https://doi.org/10.1109/icc45855.2022.9838849","title":"Policy-based Fully Spiking Reservoir Computing for Multi-Agent Distributed Dynamic Spectrum Access","display_name":"Policy-based Fully Spiking Reservoir Computing for Multi-Agent Distributed Dynamic Spectrum Access","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4290996445","doi":"https://doi.org/10.1109/icc45855.2022.9838849"},"language":"en","primary_location":{"id":"doi:10.1109/icc45855.2022.9838849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","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/A5077195982","display_name":"Nima Mohammadi","orcid":"https://orcid.org/0000-0002-3251-1951"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nima Mohammadi","raw_affiliation_strings":["Wireless@VT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless@VT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027237940","display_name":"Lingjia Liu","orcid":"https://orcid.org/0000-0003-1915-1784"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lingjia Liu","raw_affiliation_strings":["Wireless@VT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wireless@VT","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018632091","display_name":"Yang Yi","orcid":"https://orcid.org/0000-0002-1354-0204"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Yi","raw_affiliation_strings":["Virginia Tech,Bradley Department of Electrical and Computer Engineering","Bradley Department of Electrical and Computer Engineering, Virginia Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Tech,Bradley Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering, Virginia Tech","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8435,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74483585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T10581","display_name":"Neural dynamics and brain function","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7772146463394165},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.7167012095451355},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6371130347251892},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6314150094985962},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6195679306983948},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5194463133811951},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5160474181175232},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.49968910217285156},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4591935873031616},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4123360514640808},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.41057974100112915},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4034475088119507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3782702386379242},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19558313488960266},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1764255166053772},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11453434824943542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7772146463394165},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.7167012095451355},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6371130347251892},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6314150094985962},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6195679306983948},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5194463133811951},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5160474181175232},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.49968910217285156},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4591935873031616},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4123360514640808},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41057974100112915},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4034475088119507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3782702386379242},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19558313488960266},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1764255166053772},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11453434824943542},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc45855.2022.9838849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc45855.2022.9838849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2022 - IEEE International Conference on Communications","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":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1498436455","https://openalex.org/W2103179919","https://openalex.org/W2508418736","https://openalex.org/W2800613970","https://openalex.org/W2894110571","https://openalex.org/W2908731397","https://openalex.org/W2971587637","https://openalex.org/W2984844508","https://openalex.org/W3038819247","https://openalex.org/W3086434542","https://openalex.org/W3095478532","https://openalex.org/W3100844423","https://openalex.org/W3161146689","https://openalex.org/W3192796768","https://openalex.org/W6767941141","https://openalex.org/W6782559217","https://openalex.org/W6784576859"],"related_works":["https://openalex.org/W3192662224","https://openalex.org/W2140186469","https://openalex.org/W4281847915","https://openalex.org/W4384648378","https://openalex.org/W3211266228","https://openalex.org/W4237814686","https://openalex.org/W4285341284","https://openalex.org/W2903992663","https://openalex.org/W4220815069","https://openalex.org/W2997427060"],"abstract_inverted_index":{"In":[0],"the":[1,4,13,22,39,51,55,71,86,92,96,99,113,132,171,174],"midst":[2],"of":[3,24,54,95,101,122,134,173],"machine":[5],"learning":[6,82,154],"revolution,":[7],"there":[8],"is":[9],"hope":[10],"to":[11,31,35,68,75,162],"thrive":[12],"ever-growing":[14],"demand":[15],"for":[16,85,127,156],"limited":[17],"spectrum":[18,88],"resources":[19],"imposed":[20],"by":[21],"growth":[23],"wireless":[25,56],"devices":[26],"with":[27,178],"a":[28,80,120,123,147,152],"paradigm":[29],"shift":[30],"more":[32],"intelligent":[33],"ways":[34],"manage":[36],"and":[37,98,116],"share":[38],"radio":[40],"spectrum.":[41],"This":[42,58],"requirement":[43],"mandates":[44],"very":[45,143],"energy-efficient":[46],"solutions":[47],"that":[48],"can":[49],"tackle":[50],"rapid":[52],"changes":[53],"environment.":[57],"work":[59],"considers":[60],"spiking":[61],"neural":[62,77],"networks,":[63],"which":[64],"have":[65],"been":[66],"shown":[67],"drastically":[69],"reduce":[70],"energy":[72],"consumption":[73],"compared":[74,177],"conventional":[76],"networks":[78],"in":[79,140,145],"reinforcement":[81],"setup":[83],"designed":[84],"dynamic":[87],"sharing":[89],"scenario.":[90],"Moreover,":[91],"temporal":[93],"aspect":[94],"problem":[97],"necessity":[100],"sample":[102],"efficiency":[103],"motivates":[104],"incorporating":[105],"liquid":[106,128],"state":[107,129],"machines":[108],"into":[109],"this":[110],"design.":[111],"However,":[112],"agents\u2019":[114],"state-":[115],"time-variant":[117],"inputs":[118],"impose":[119],"burden":[121],"posteriori":[124],"hyperparameter":[125],"optimization":[126],"machines,":[130],"rendering":[131],"deployment":[133],"reliable":[135],"models":[136],"whose":[137],"reservoirs":[138],"operate":[139],"favorable":[141],"regimes":[142],"challenging":[144],"such":[146],"setting.":[148],"Therefore,":[149],"we":[150],"employ":[151],"homeostatic":[153],"rule":[155],"adaptively":[157],"tuning":[158],"small-world":[159],"reservoir":[160],"connections":[161],"maintain":[163],"near-chaotic":[164],"behavior":[165],"during":[166],"operation.":[167],"Simulation":[168],"results":[169],"prove":[170],"performance":[172],"introduced":[175],"solution":[176],"several":[179],"existing":[180],"techniques.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
