{"id":"https://openalex.org/W4415368927","doi":"https://doi.org/10.1109/isit63088.2025.11195253","title":"Random Modulation: Achieving Asymptotic Replica Optimality Over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices","display_name":"Random Modulation: Achieving Asymptotic Replica Optimality Over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4415368927","doi":"https://doi.org/10.1109/isit63088.2025.11195253"},"language":null,"primary_location":{"id":"doi:10.1109/isit63088.2025.11195253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","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/A5089831302","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0002-0807-2135"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Liu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University,China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012222793","display_name":"Yuhao Chi","orcid":"https://orcid.org/0000-0001-9850-0246"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Chi","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University,China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University,China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059501073","display_name":"Shunqi Huang","orcid":"https://orcid.org/0000-0001-9551-4079"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunqi Huang","raw_affiliation_strings":["School of Information Science, Japan Institute of Science and Technology,Japan"],"affiliations":[{"raw_affiliation_string":"School of Information Science, Japan Institute of Science and Technology,Japan","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089831302"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25842621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T12029","display_name":"DNA and Biological Computing","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.993399977684021,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9926999807357788,"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/replica","display_name":"Replica","score":0.8209999799728394},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6801000237464905},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.5059000253677368},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.43799999356269836},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.39100000262260437},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.38530001044273376},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.36910000443458557},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.35260000824928284},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.34540000557899475}],"concepts":[{"id":"https://openalex.org/C2775937380","wikidata":"https://www.wikidata.org/wiki/Q1232589","display_name":"Replica","level":2,"score":0.8209999799728394},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6801000237464905},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.5059000253677368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4869000017642975},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43799999356269836},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.38530001044273376},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3644999861717224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36340001225471497},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.34540000557899475},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C148063708","wikidata":"https://www.wikidata.org/wiki/Q5072511","display_name":"Channel state information","level":3,"score":0.3305000066757202},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.3287999927997589},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C205147927","wikidata":"https://www.wikidata.org/wiki/Q752718","display_name":"Asymptotic analysis","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit63088.2025.11195253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4517432110","display_name":null,"funder_award_id":"62394292,62301485,62201424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1997834106","https://openalex.org/W2000828982","https://openalex.org/W2035414962","https://openalex.org/W2054370055","https://openalex.org/W2072184935","https://openalex.org/W2082029531","https://openalex.org/W2099111195","https://openalex.org/W2111616148","https://openalex.org/W2130509920","https://openalex.org/W2137218219","https://openalex.org/W2612254130","https://openalex.org/W2788412124","https://openalex.org/W2941952695","https://openalex.org/W2945463326","https://openalex.org/W2962951066","https://openalex.org/W2980141162","https://openalex.org/W3080250514","https://openalex.org/W3093680245","https://openalex.org/W3172643713","https://openalex.org/W3173471587","https://openalex.org/W3200797369","https://openalex.org/W3212427167","https://openalex.org/W4248709896","https://openalex.org/W4285210099","https://openalex.org/W4361853646","https://openalex.org/W4387385590","https://openalex.org/W4387870149","https://openalex.org/W4389076572","https://openalex.org/W4390873731","https://openalex.org/W4396712613","https://openalex.org/W4402475369","https://openalex.org/W4407591282"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,55,84,89],"random":[4,29,36,101,115,159],"modulation":[5,30,160],"technique":[6],"that":[7,40,156],"is":[8,98],"decoupled":[9],"from":[10],"the":[11,41,51,104,107,111,114,119,128,134,143,151,157],"channel":[12,25,37,46,77,109,146],"matrix,":[13,38],"allowing":[14],"it":[15],"to":[16,19,126,172,181],"be":[17],"applied":[18],"arbitrary":[20,72],"norm-bounded":[21,73],"and":[22,35,74,110,132,164,191],"spectrally":[23,75],"convergent":[24,76],"matrices.":[26],"The":[27],"proposed":[28,99,158],"constructs":[31],"an":[32],"equivalent":[33],"dense":[34],"ensuring":[39],"signals":[42],"undergo":[43],"sufficient":[44],"statistical":[45],"fading.":[47],"It":[48],"also":[49],"guarantees":[50],"asymptotic":[52],"replica":[53,129,135],"maximum":[54],"posteriori":[56],"(MAP)":[57],"bit-error":[58],"rate":[59,166],"(BER)":[60],"optimality":[61],"of":[62,106,113,138,145,170],"approximate":[63,93],"message":[64,94],"passing":[65,95],"(AMP)-type":[66],"detectors":[67],"for":[68,100],"linear":[69,140],"systems":[70],"with":[71,184],"matrices":[78],"when":[79],"their":[80],"state":[81,147],"evolution":[82],"has":[83],"unique":[85],"fixed":[86],"point.":[87],"Then,":[88],"lowcomplexity":[90],"cross-domain":[91],"memory":[92],"(CD-MAMP)":[96],"detector":[97],"modulation,":[102],"leveraging":[103],"sparsity":[105],"time-domain":[108],"randomness":[112],"transform-domain":[116],"channel.":[117],"Furthermore,":[118],"optimal":[120],"power":[121,193],"allocation":[122],"schemes":[123],"are":[124],"derived":[125],"minimize":[127],"MAP":[130],"BER":[131,163],"maximize":[133],"constrained":[136],"capacity":[137],"random-modulated":[139],"systems,":[141],"assuming":[142],"availability":[144],"information":[148],"(CSI)":[149],"at":[150],"transceiver.":[152],"Numerical":[153],"results":[154],"show":[155],"can":[161],"achieve":[162],"block-error":[165],"(BLER)":[167],"performance":[168],"gains":[169],"up":[171],"<tex":[173],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$2":[175],"\\sim":[176],"3":[177],"\\mathbf{d":[178],"B}$</tex>":[179],"compared":[180],"existing":[182],"OFDM/OTFS/AFDM":[183],"5G-NR":[185],"LDPC":[186],"codes,":[187],"under":[188],"both":[189],"average":[190],"optimized":[192],"allocation.":[194]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-21T00:00:00"}
