{"id":"https://openalex.org/W3210841113","doi":"https://doi.org/10.1109/pimrc50174.2021.9569685","title":"Model-Based Adaptive Modulation and Coding with Latent Thompson Sampling","display_name":"Model-Based Adaptive Modulation and Coding with Latent Thompson Sampling","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3210841113","doi":"https://doi.org/10.1109/pimrc50174.2021.9569685","mag":"3210841113"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc50174.2021.9569685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc50174.2021.9569685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5057254731","display_name":"Vidit Saxena","orcid":"https://orcid.org/0000-0001-7974-5096"},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]},{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Vidit Saxena","raw_affiliation_strings":["Ericsson Research, Stockholm, Sweden","KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]},{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045087089","display_name":"Hugo Tullberg","orcid":null},"institutions":[{"id":"https://openalex.org/I1306339040","display_name":"Ericsson (Sweden)","ror":"https://ror.org/05a7rhx54","country_code":"SE","type":"company","lineage":["https://openalex.org/I1306339040"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Hugo Tullberg","raw_affiliation_strings":["Ericsson Research, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Stockholm, Sweden","institution_ids":["https://openalex.org/I1306339040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059936184","display_name":"Joakim Jald\u00e9n","orcid":"https://orcid.org/0000-0001-6630-243X"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Joakim Jalden","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057254731"],"corresponding_institution_ids":["https://openalex.org/I1306339040","https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":0.3486,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64049264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"610","last_page":"616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9919999837875366,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8115931749343872},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.691767692565918},{"id":"https://openalex.org/keywords/link-adaptation","display_name":"Link adaptation","score":0.6356309652328491},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5660557746887207},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5226492881774902},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5097736716270447},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36617884039878845},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33025938272476196},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23415276408195496},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11902105808258057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08797380328178406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115931749343872},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.691767692565918},{"id":"https://openalex.org/C138916503","wikidata":"https://www.wikidata.org/wiki/Q2714551","display_name":"Link adaptation","level":4,"score":0.6356309652328491},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5660557746887207},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5226492881774902},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5097736716270447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36617884039878845},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33025938272476196},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23415276408195496},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11902105808258057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08797380328178406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc50174.2021.9569685","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc50174.2021.9569685","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1500180304","https://openalex.org/W1964144113","https://openalex.org/W1985853617","https://openalex.org/W2060088053","https://openalex.org/W2085213418","https://openalex.org/W2099059301","https://openalex.org/W2130172960","https://openalex.org/W2136793265","https://openalex.org/W2145850537","https://openalex.org/W2282548695","https://openalex.org/W2290829029","https://openalex.org/W2321165177","https://openalex.org/W2560995453","https://openalex.org/W2791444538","https://openalex.org/W2820485130","https://openalex.org/W2953359952","https://openalex.org/W2963035514","https://openalex.org/W2963390429","https://openalex.org/W2963572165","https://openalex.org/W2969194420","https://openalex.org/W3021990644","https://openalex.org/W3040667536","https://openalex.org/W3047600464","https://openalex.org/W4295830359","https://openalex.org/W6641166723","https://openalex.org/W6681556291","https://openalex.org/W6747481501"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2127563499","https://openalex.org/W2120897947","https://openalex.org/W2030191005","https://openalex.org/W1865172210","https://openalex.org/W2027568561","https://openalex.org/W2790025453","https://openalex.org/W1521521035"],"abstract_inverted_index":{"Wireless":[0],"links":[1],"use":[2],"adaptive":[3],"modulation":[4],"and":[5,35,65,98,102],"coding":[6],"(AMC)":[7],"to":[8,23,42,126,129],"optimize":[9],"data":[10],"transmission":[11],"over":[12],"a":[13,46,86,94],"dynamic":[14],"channel.":[15],"Traditional":[16],"AMC":[17],"schemes":[18,39,55],"rely":[19],"on":[20],"simple":[21],"heuristics":[22],"track":[24],"the":[25,81,121],"instantaneous":[26],"channel":[27,83,89],"state.":[28,90],"While":[29],"attractive":[30],"for":[31,76],"their":[32],"low":[33,95],"implementation":[34],"operational":[36],"complexity,":[37],"these":[38],"are":[40],"known":[41],"be":[43,62],"suboptimal":[44],"in":[45,110],"large":[47],"range":[48],"of":[49],"operating":[50],"environments.":[51],"Further,":[52],"several":[53],"such":[54],"require":[56],"careful":[57],"parameter":[58],"tuning,":[59],"which":[60,78],"can":[61],"both":[63,93],"expensive":[64],"error-prone.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"propose":[71],"latent":[72],"Thompson":[73],"sampling":[74],"(LTS)":[75],"AMC,":[77],"efficiently":[79],"tracks":[80],"wireless":[82,116],"by":[84,124],"modeling":[85],"latent,":[87],"low-dimensional,":[88],"LTS":[91,109,119],"features":[92],"computational":[96],"complexity":[97],"fast":[99],"learning":[100],"dynamics,":[101],"requires":[103],"minimal":[104],"tuning":[105],"effort.":[106],"We":[107],"evaluate":[108],"stationary":[111],"as":[112,114],"well":[113],"fading":[115],"channels,":[117],"where":[118],"improves":[120],"link":[122],"throughput":[123],"up":[125],"100%":[127],"compared":[128],"state-of-the-art":[130],"schemes.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}