{"id":"https://openalex.org/W2950843106","doi":"https://doi.org/10.1109/gcwkshps45667.2019.9024547","title":"Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation","display_name":"Deep Learning-Based Quantization of L-Values for Gray-Coded Modulation","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2950843106","doi":"https://doi.org/10.1109/gcwkshps45667.2019.9024547","mag":"2950843106"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps45667.2019.9024547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps45667.2019.9024547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.07849","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039107104","display_name":"Marius Arvinte","orcid":"https://orcid.org/0000-0002-9328-9223"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marius Arvinte","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas","University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088120102","display_name":"Sriram Vishwanath","orcid":"https://orcid.org/0000-0003-3112-4885"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sriram Vishwanath","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas","the University of Texas at, Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"the University of Texas at, Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089360428","display_name":"Ahmed H. Tewfik","orcid":"https://orcid.org/0000-0002-2384-4391"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed H. Tewfik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas","the University of Texas at, Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, Texas","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"the University of Texas at, Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07292376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9995999932289124,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9987999796867371,"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/quantization","display_name":"Quantization (signal processing)","score":0.7082082033157349},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.582035481929779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5574945211410522},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.5022358894348145},{"id":"https://openalex.org/keywords/rayleigh-fading","display_name":"Rayleigh fading","score":0.498502254486084},{"id":"https://openalex.org/keywords/qam","display_name":"QAM","score":0.48666220903396606},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4316459596157074},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40078210830688477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35517728328704834},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2657751441001892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2521185278892517},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.2255072295665741},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.22300651669502258}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7082082033157349},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.582035481929779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5574945211410522},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.5022358894348145},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.498502254486084},{"id":"https://openalex.org/C59030546","wikidata":"https://www.wikidata.org/wiki/Q7265371","display_name":"QAM","level":5,"score":0.48666220903396606},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4316459596157074},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40078210830688477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35517728328704834},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2657751441001892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2521185278892517},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.2255072295665741},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.22300651669502258}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/gcwkshps45667.2019.9024547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps45667.2019.9024547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.07849","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.07849","pdf_url":"https://arxiv.org/pdf/1906.07849","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2950843106","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.07849","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.07849","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.07849","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.07849","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.07849","pdf_url":"https://arxiv.org/pdf/1906.07849","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950843106.pdf","grobid_xml":"https://content.openalex.org/works/W2950843106.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1492267636","https://openalex.org/W1522301498","https://openalex.org/W2041402079","https://openalex.org/W2061056943","https://openalex.org/W2098110194","https://openalex.org/W2136635150","https://openalex.org/W2142838865","https://openalex.org/W2165326372","https://openalex.org/W2734408173","https://openalex.org/W2752796333","https://openalex.org/W2811484325","https://openalex.org/W2886014761","https://openalex.org/W2901240584","https://openalex.org/W2963799213","https://openalex.org/W2964164354","https://openalex.org/W2987410136","https://openalex.org/W6747620207","https://openalex.org/W6752394437","https://openalex.org/W6753645039"],"related_works":["https://openalex.org/W2987410136","https://openalex.org/W2986517849","https://openalex.org/W3213232298","https://openalex.org/W2165326372","https://openalex.org/W2081474112","https://openalex.org/W1771752226","https://openalex.org/W3171548186","https://openalex.org/W2220716272","https://openalex.org/W1037686993","https://openalex.org/W2280450537","https://openalex.org/W1984550260","https://openalex.org/W2919311874","https://openalex.org/W3040931669","https://openalex.org/W2404824064","https://openalex.org/W2042977551","https://openalex.org/W3201870141","https://openalex.org/W2958670003","https://openalex.org/W1566642259","https://openalex.org/W2500612691","https://openalex.org/W2172109950"],"abstract_inverted_index":{"In":[0],"this":[1,78],"work,":[2],"a":[3,38,65,81,96,130,138],"deep":[4,82],"learning-based":[5],"quantization":[6,122],"scheme":[7],"for":[8],"log-likelihood":[9],"ratio":[10,131],"(L-value)":[11],"storage":[12],"in":[13],"fading":[14],"channels":[15],"affected":[16],"by":[17,129],"interference":[18,74],"is":[19,45,111],"introduced.":[20],"We":[21,50,163],"derive":[22],"the":[23,32,46,52,55,70,93,125,166,185],"number":[24,47],"of":[25,34,48,58,69,95,105,132,140],"sufficient":[26],"statistics":[27],"required":[28,126],"to":[29,37,113,134],"exactly":[30],"reconstruct":[31],"set":[33],"L-values":[35,60],"corresponding":[36],"channel":[39,71,177],"use":[40,94],"as":[41],"3+2xNI,":[42],"where":[43],"NI":[44],"interferers.":[49],"analyze":[51],"dependency":[53],"between":[54],"average":[56],"magnitudes":[57],"different":[59],"and":[61,87,136,154,179],"show":[62],"they":[63],"follow":[64],"consistent":[66],"ordering,":[67],"regardless":[68],"coefficient":[72],"or":[73],"distribution.":[75],"Based":[76],"on":[77,175],"we":[79],"design":[80],"autoencoder":[83],"that":[84,100,165],"jointly":[85],"compresses":[86],"separately":[88],"reconstructs":[89],"each":[90],"L-value,":[91],"allowing":[92],"weighted":[97],"loss":[98,139],"function":[99],"promotes":[101],"more":[102],"accurate":[103],"reconstruction":[104],"low":[106],"magnitude":[107],"inputs.":[108],"Our":[109],"method":[110],"shown":[112],"be":[114,170],"competitive":[115],"with":[116,146,159],"state-of-":[117],"the-art":[118],"maximum":[119],"mutual":[120],"information":[121],"schemes,":[123],"reducing":[124],"memory":[127],"footprint":[128],"up":[133],"two":[135,149],"achieving":[137],"performance":[141,187],"lower":[142,155],"than":[143,148,156],"0.1":[144],"dB":[145,158],"less":[147],"effective":[150,161],"bits":[151],"per":[152],"L-value":[153],"0.04":[157],"2.25":[160],"bits.":[162],"demonstrate":[164],"same":[167,186],"network":[168],"can":[169],"reused":[171],"without":[172],"further":[173],"training":[174],"various":[176],"models":[178],"error-":[180],"correcting":[181],"codes":[182],"while":[183],"preserving":[184],"benefits.":[188]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}