{"id":"W1962826818","doi":"10.1109/twc.2015.2451171","title":"Achievable Rate of the Half-Duplex Multi-Hop Buffer-Aided Relay Channel With Block Fading","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fading; Computer science; Relay; Channel state information; Computer network; Additive white Gaussian noise; Hop (telecommunications); Transmission (telecommunications); Channel (broadcasting); Scheduling (production processes); Wireless; Telecommunications; Mathematics; Mathematical optimization","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002815329,0.001132291,0.001042658,0.0007558269,0.0005563479,0.001538911,0.001262102,0.0009228205,0.001813476],"category_scores_gemma":[0.007406606,0.0003848191,0.0003993165,0.0007210472,0.00131353,0.001479488,0.001419909,0.0008524269,0.0005435785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306281,"about_ca_system_score_gemma":0.001608898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161598,"about_ca_topic_score_gemma":0.001558005,"domain_scores_codex":[0.9987481,0.0004848516,0.00005450415,0.0001333475,0.0003252114,0.0002539916],"domain_scores_gemma":[0.9937568,0.004482043,0.0004793169,0.0004561982,0.0006864661,0.0001391139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004705718,0.00006350292,0.00082643,0.000297581,0.00008178179,0.000341038,0.0001943006,0.8936144,0.01601784,0.07121864,0.001301524,0.01557227],"study_design_scores_gemma":[0.00003551389,0.0001145657,0.0002959433,0.00003049745,0.0000314967,0.0001590363,0.00005342381,0.9764901,0.008836512,0.01343847,0.0004839269,0.00003034085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2215164,0.001560555,0.7581752,0.0004885815,0.00005923861,0.0001134474,0.0005569689,0.0006131296,0.01691656],"genre_scores_gemma":[0.9713818,0.0004854788,0.02631514,0.00004856267,0.00001462218,0.0001031492,0.0001829476,0.00003203393,0.001436214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002815329,"threshold_uncertainty_score":0.01488912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08570712077375067,"score_gpt":0.2913527427453585,"score_spread":0.2056456219716078,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}