{"id":"https://openalex.org/W7214040598","doi":"https://doi.org/10.48550/arxiv.2609.22389","title":"Interference-Free Capacity of a Binary Interference Channel with Causal Observation","display_name":"Interference-Free Capacity of a Binary Interference Channel with Causal Observation","publication_year":2026,"publication_date":"2026-09-18","ids":{"openalex":"https://openalex.org/W7214040598","doi":"https://doi.org/10.48550/arxiv.2609.22389"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.22389","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.22389","pdf_url":"https://arxiv.org/pdf/2609.22389","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.22389","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5152459967","display_name":"Xianwei Meng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng, Xianwei","raw_affiliation_strings":["Hefei University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5152459967"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.5360999703407288,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.5360999703407288,"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":0.2563000023365021,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.02290000021457672,"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/sum-capacity","display_name":"sum capacity","score":0.7400000095367432},{"id":"https://openalex.org/keywords/capacity-region","display_name":"capacity region","score":0.5989999771118164},{"id":"https://openalex.org/keywords/port-choice","display_name":"port selection","score":0.5899999737739563},{"id":"https://openalex.org/keywords/finite-horizon-optimization","display_name":"finite-horizon optimization","score":0.6430000066757202},{"id":"https://openalex.org/keywords/second-order-approximation","display_name":"second-order approximation","score":0.6480000019073486}],"concepts":[{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.574999988079071},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5633000135421753},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5582000017166138},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5480999946594238},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.5095000267028809},{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.498199999332428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4745999872684479},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.423799991607666},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C173988684","wikidata":"https://www.wikidata.org/wiki/Q863510","display_name":"Binary symmetric channel","level":4,"score":0.40799999237060547},{"id":"https://openalex.org/C92224547","wikidata":"https://www.wikidata.org/wiki/Q1673216","display_name":"Probability of error","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3285999894142151},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.326200008392334},{"id":"https://openalex.org/C149862233","wikidata":"https://www.wikidata.org/wiki/Q864142","display_name":"Binary erasure channel","level":4,"score":0.3237999975681305},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.30709999799728394},{"id":"https://openalex.org/C76862118","wikidata":"https://www.wikidata.org/wiki/Q1105671","display_name":"Coding gain","level":3,"score":0.2969000041484833},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C2781007418","wikidata":"https://www.wikidata.org/wiki/Q1456934","display_name":"Capacity planning","level":2,"score":0.267300009727478}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.22389","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.22389","pdf_url":"https://arxiv.org/pdf/2609.22389","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2609.22389","doi":"https://doi.org/10.48550/arxiv.2609.22389","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.22389","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.22389","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.22389","pdf_url":"https://arxiv.org/pdf/2609.22389","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214040598.pdf","grobid_xml":"https://content.openalex.org/works/W7214040598.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1491973539","https://openalex.org/W2068118751","https://openalex.org/W2157989362","https://openalex.org/W7203557711","https://openalex.org/W7213321159"],"related_works":["https://openalex.org/W7214003704","https://openalex.org/W167274168","https://openalex.org/W2963290028","https://openalex.org/W2513793173","https://openalex.org/W3047323365","https://openalex.org/W7220829850","https://openalex.org/W1507877815","https://openalex.org/W7096737990","https://openalex.org/W7096335088","https://openalex.org/W2110177995"],"abstract_inverted_index":{"We":[0,165],"determine":[1],"the":[2,21,29,96,112,118,127,134,148,201,219,224],"capacity":[3,131,138,209],"region":[4,151],"of":[5,58,144],"a":[6,32,185,212,228],"two-user":[7],"binary":[8],"interference":[9,221],"channel":[10,65],"with":[11,92,223],"receiver-controlled":[12],"observation":[13,30,103,124,168,193,216],"and":[14,39,51,61,70,88,106,117,132,162,184,197,205],"prove":[15],"that":[16],"causal":[17,38,71,150],"port":[18],"selection":[19],"attains":[20],"interference-free":[22],"limit.":[23],"The":[24,208],"physical--observation":[25],"dual-axis":[26],"formulation":[27],"makes":[28,101],"kernel":[31],"design":[33,217],"variable":[34],"subject":[35],"to":[36,182],"explicit":[37],"resource":[40],"constraints.":[41],"For":[42],"two":[43],"equiprobable,":[44],"initially":[45],"unknown":[46],"block":[47,97],"states,":[48],"matching":[49],"converses":[50],"coding":[52,163,198],"constructions":[53],"give":[54],"exact":[55,149,174],"sum":[56,130,137],"capacities":[57],"1,":[59],"$4/3$,":[60],"2":[62],"bits":[63],"per":[64,104],"use":[66],"for":[67,77,159,170],"fixed-port,":[68],"open-loop,":[69],"policies,":[72],"respectively.":[73],"These":[74],"results":[75],"hold":[76],"every":[78],"fixed":[79,171],"joint":[80],"error":[81,93,179],"threshold":[82],"below":[83],"$1/2$,":[84],"under":[85],"both":[86],"average":[87],"maximal":[89],"message":[90,178],"error,":[91],"averaged":[94],"over":[95,191],"state.":[98],"Every":[99],"receiver":[100],"one":[102],"slot":[105],"switches":[107],"ports":[108],"at":[109],"most":[110],"once;":[111],"transmitters":[113],"receive":[114],"no":[115],"feedback":[116],"receivers":[119],"do":[120],"not":[121],"cooperate.":[122],"Causal":[123],"thus":[125],"doubles":[126],"optimal":[128,135],"fixed-port":[129],"exceeds":[133],"open-loop":[136],"by":[139,227],"50\\%.":[140],"With":[141],"independent":[142],"erasures":[143],"retention":[145],"probability":[146],"$p$,":[147],"is":[152],"$[0,p]^2$.":[153],"A":[154],"finite-blocklength":[155],"bound":[156,188],"accounts":[157],"jointly":[158],"state-identification":[160],"pilots":[161],"redundancy.":[164],"also":[166],"optimize":[167],"policies":[169],"codes:":[172],"an":[173,233],"finite-horizon":[175],"solution":[176],"reduces":[177],"from":[180],"10.76\\%":[181],"7.52\\%,":[183],"second-order":[186],"approximation":[187],"controls":[189],"optimization":[190],"continuous":[192],"directions.":[194],"Linear-array":[195],"designs":[196],"experiments":[199],"examine":[200],"corresponding":[202],"training,":[203],"reliability,":[204],"control":[206],"costs.":[207],"result":[210],"identifies":[211],"setting":[213],"in":[214],"which":[215],"removes":[218],"entire":[220],"penalty,":[222],"gain":[225],"established":[226],"converse":[229],"as":[230,232],"well":[231],"achievable":[234],"construction.":[235]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-23T00:00:00"}
