{"id":"https://openalex.org/W2169022337","doi":null,"title":"Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems","display_name":"Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems","publication_year":1996,"publication_date":"1996-12-03","ids":{"openalex":"https://openalex.org/W2169022337","mag":"2169022337"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.106.4985","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.4985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.upenn.edu/~mkearns/papers/barbados/sb-channel.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5065366930","display_name":"Satinder Pal Singh","orcid":"https://orcid.org/0000-0002-2736-7641","observed_orcids":["https://orcid.org/0000-0002-2736-7641","https://orcid.org/0000-0002-8215-8295","https://orcid.org/0000-0002-5169-9486","https://orcid.org/0000-0001-9360-7060"]},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satinder Singh","raw_affiliation_strings":["[Department of Computer Science, University of Colorado, Boulder, CO]"],"raw_orcid":"https://orcid.org/0000-0002-8215-8295","affiliations":[{"raw_affiliation_string":"[Department of Computer Science, University of Colorado, Boulder, CO]","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039911471","display_name":"Dimitri P. Bertsekas","orcid":"https://orcid.org/0000-0001-6909-7208","observed_orcids":["https://orcid.org/0000-0001-6909-7208"]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitri P. Bertsekas","raw_affiliation_strings":["Lab. for Info. and Decision Sciences, MIT, Cambridge, MA#TAB#"],"raw_orcid":"https://orcid.org/0000-0001-6909-7208","affiliations":[{"raw_affiliation_string":"Lab. for Info. and Decision Sciences, MIT, Cambridge, MA#TAB#","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.755,"has_fulltext":false,"cited_by_count":214,"citation_normalized_percentile":{"value":0.98585973,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"974","last_page":"980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10575","display_name":"Wireless Communication Networks Research","score":0.989300012588501,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.989300012588501,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.00839999970048666,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.0006000000284984708,"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/dynamic-channel-assignment","display_name":"dynamic channel allocation","score":0.9520000219345093},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.9789999723434448},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"dynamic programming","score":0.6949999928474426},{"id":"https://openalex.org/keywords/call-traffic","display_name":"call traffic","score":0.37700000405311584},{"id":"https://openalex.org/keywords/bandwidth-allocation","display_name":"bandwidth allocation","score":0.5609999895095825},{"id":"https://openalex.org/keywords/cellular-networks","display_name":"cellular networks","score":0.47200000286102295}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8733137249946594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7580650448799133},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6601302027702332},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5987801551818848},{"id":"https://openalex.org/C114237682","wikidata":"https://www.wikidata.org/wiki/Q5072483","display_name":"Channel allocation schemes","level":3,"score":0.5718263387680054},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5525739192962646},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5085021257400513},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.4938674569129944},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4644498825073242},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.42939549684524536},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37421008944511414},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23250699043273926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17091450095176697},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16512322425842285},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07021796703338623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.106.4985","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.4985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cis.upenn.edu/~mkearns/papers/barbados/sb-channel.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.22.3540","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.3540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.colorado.edu/users/baveja/./Papers/Nips96a.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.49.2422","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.2422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-anw.cs.umass.edu/~mharmon/rltutorial/docs/singh.ps","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.53.4385","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.4385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.cs.colorado.edu/users/baveja/Papers/CellPhone.ps","raw_type":"text"},{"id":"mag:2169022337","doi":null,"is_oa":false,"landing_page_url":"https://papers.nips.cc/paper/1216-reinforcement-learning-for-dynamic-channel-allocation-in-cellular-telephone-systems.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4363606243","display_name":"neural information processing systems","issn_l":"1049-5258","issn":["1049-5258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Neural Information Processing Systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1544193923","https://openalex.org/W1576452626","https://openalex.org/W2001327859","https://openalex.org/W2009533501","https://openalex.org/W2089539464","https://openalex.org/W2100677568","https://openalex.org/W2103626435","https://openalex.org/W2117341272","https://openalex.org/W2123853988","https://openalex.org/W2148173263"],"related_works":["https://openalex.org/W2543965903","https://openalex.org/W2110148540","https://openalex.org/W1500868269","https://openalex.org/W1601081174","https://openalex.org/W2407125724","https://openalex.org/W2169811331","https://openalex.org/W2062947048","https://openalex.org/W2108785692","https://openalex.org/W2222793869","https://openalex.org/W2163078875"],"abstract_inverted_index":{"In":[0,82],"cellular":[1,75,83],"telephone":[2],"systems,":[3,85],"an":[4,86],"important":[5,87],"problem":[6,26,34,88],"is":[7,27,89,119,143],"to":[8,17,43,90,98,103],"dynamically":[9],"allocate":[10,91],"the":[11,92,100,129],"communication":[12,84,93],"resource":[13,94],"(channels)":[14],"so":[15,96],"as":[16,30,97],"maximize":[18,99],"service":[19,101,112],"in":[20],"a":[21,31,38,62,73,104],"stochastic":[22],"caller":[23],"environment.":[24],"This":[25],"naturally":[28],"formulated":[29],"dynamic":[32,45],"programming":[33],"and":[35,125],"we":[36],"use":[37],"reinforcement":[39],"learning":[40],"(RL)":[41],"method":[42],"find":[44],"channel":[46,149],"allocation":[47],"policies":[48,57],"that":[49,131],"are":[50,132],"better":[51],"than":[52],"previous":[53],"heuristic":[54],"solutions.":[55],"The":[56,139],"obtained":[58],"perform":[59],"well":[60],"for":[61,111],"broad":[63],"variety":[64],"of":[65,106],"call":[66],"traffic":[67],"patterns.":[68],"We":[69],"present":[70],"results":[71],"on":[72],"large":[74],"system":[76,141],"with":[77,147],"approximately":[78],"49":[79,80],"states.":[81],"(bandwidth)":[95],"provided":[102],"set":[105],"mobile":[107],"callers":[108],"whose":[109],"demand":[110],"changes":[113],"stochastically.":[114],"A":[115],"given":[116],"geographical":[117],"area":[118],"divided":[120,144],"into":[121,145],"mutually":[122],"disjoint":[123],"cells,":[124],"each":[126,148],"cell":[127],"serves":[128],"calls":[130],"within":[133],"its":[134],"boundaries":[135],"(see":[136],"Figure":[137],"1a).":[138],"total":[140],"bandwidth":[142],"channels,":[146],"cent...":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}