{"id":"https://openalex.org/W3134556557","doi":"https://doi.org/10.1109/iceic51217.2021.9369737","title":"Deep Reinforcement Learning-based Task Offloading Decision in the Time Varying Channel","display_name":"Deep Reinforcement Learning-based Task Offloading Decision in the Time Varying Channel","publication_year":2021,"publication_date":"2021-01-31","ids":{"openalex":"https://openalex.org/W3134556557","doi":"https://doi.org/10.1109/iceic51217.2021.9369737","mag":"3134556557"},"language":"en","primary_location":{"id":"doi:10.1109/iceic51217.2021.9369737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic51217.2021.9369737","pdf_url":null,"source":{"id":"https://openalex.org/S4306498844","display_name":"2021 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5101957907","display_name":"Jinkyo Jeong","orcid":"https://orcid.org/0000-0002-8088-2976"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jinkyo Jeong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045676802","display_name":"Il\u2010Min Kim","orcid":"https://orcid.org/0000-0003-1339-8057"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Il-Min Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043918946","display_name":"Daesik Hong","orcid":"https://orcid.org/0000-0002-4694-2963"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Daesik Hong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101957907"],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":2.156,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8708634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13553","display_name":"Age of Information Optimization","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.8952106833457947},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8492431044578552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8162891268730164},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6841442584991455},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.6135656237602234},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6095638871192932},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6086801290512085},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5234639048576355},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5225576758384705},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.4902363419532776},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48340287804603577},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.420841783285141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3861558735370636},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.36882254481315613},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34389519691467285},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.32325640320777893},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27274054288864136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21934092044830322},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12865176796913147},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09082064032554626},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.08744284510612488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06787979602813721}],"concepts":[{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.8952106833457947},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8492431044578552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162891268730164},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6841442584991455},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6135656237602234},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6095638871192932},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6086801290512085},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5234639048576355},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5225576758384705},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.4902363419532776},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48340287804603577},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.420841783285141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3861558735370636},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.36882254481315613},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34389519691467285},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.32325640320777893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27274054288864136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21934092044830322},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12865176796913147},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09082064032554626},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.08744284510612488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06787979602813721},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic51217.2021.9369737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic51217.2021.9369737","pdf_url":null,"source":{"id":"https://openalex.org/S4306498844","display_name":"2021 International Conference on Electronics, Information, and Communication (ICEIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3444488623","display_name":null,"funder_award_id":"2018R1A2A1A05021029","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W2121863487","https://openalex.org/W2131646073","https://openalex.org/W2132696179","https://openalex.org/W2593138756","https://openalex.org/W2594560857","https://openalex.org/W2615926310","https://openalex.org/W2624989916","https://openalex.org/W2791432311","https://openalex.org/W2889540440","https://openalex.org/W2896051417","https://openalex.org/W3106445841"],"related_works":["https://openalex.org/W2096013579","https://openalex.org/W1760611253","https://openalex.org/W52153049","https://openalex.org/W1589140671","https://openalex.org/W2951545791","https://openalex.org/W1515117609","https://openalex.org/W2294884454","https://openalex.org/W4323315247","https://openalex.org/W3169161914","https://openalex.org/W4321379664"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,84,97,111],"dynamic":[4],"task":[5,18,30,36,54,94],"offloading":[6,31,55],"decision":[7,51,99],"control":[8],"scheme":[9,122],"to":[10,15,47,80,104],"minimize":[11],"the":[12,22,28,53,65,73,88,106,124],"total":[13,89],"delay":[14,90],"execute":[16],"computation":[17,35,93],"taking":[19],"into":[20],"account":[21],"time-varying":[23],"channel.":[24],"Specifically,":[25],"we":[26,63,109],"consider":[27],"practical":[29],"process,":[32],"where":[33],"executing":[34,92],"is":[37,78],"carried":[38],"out":[39],"over":[40,58],"multiple":[41,59],"channel":[42,60,75],"coherence":[43,61],"times.":[44],"In":[45,102],"order":[46,103],"make":[48],"an":[49],"accurate":[50],"on":[52,96],"process":[56,100],"performed":[57],"times,":[62],"utilize":[64],"model-free":[66,112],"reinforcement":[67,113],"learning,":[68],"since":[69],"environment":[70],"dynamics":[71],"of":[72,86,91],"system,":[74],"transition":[76],"probabilities,":[77],"challenging":[79],"estimate.":[81],"We":[82],"formulate":[83],"problem":[85],"minimizing":[87],"based":[95],"Markov":[98],"(MDP).":[101],"solve":[105],"MDP":[107],"problem,":[108],"develop":[110],"learning":[114],"algorithm.":[115],"Simulation":[116],"results":[117],"show":[118],"that":[119],"our":[120],"proposed":[121],"outperforms":[123],"conventional":[125],"scheme.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
