{"id":"W2069085483","doi":"10.1002/ett.1384","title":"Improved OFDMA uplink transmission<i>via</i>cooperative relaying in the presence of frequency offsets—Part I: Ergodic information rate analysis","year":2009,"lang":"en","type":"article","venue":"European Transactions on Telecommunications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Ergodic theory; Telecommunications link; Relay; Node (physics); Computer science; Transmission (telecommunications); Orthogonal frequency-division multiple access; Frequency offset; Offset (computer science); Computer network; Transmitter power output; Power (physics); Topology (electrical circuits); Orthogonal frequency-division multiplexing; Telecommunications; Mathematics; Transmitter; Physics; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001547999,0.000216754,0.0002695422,0.0006010049,0.0008298702,0.0001794494,0.002890432,0.0000528138,0.00007777367],"category_scores_gemma":[0.00006253,0.0001768465,0.0002105373,0.003794535,0.0001052334,0.001236122,0.00003180156,0.0007478656,0.0000304518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005912864,"about_ca_system_score_gemma":0.00008654663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003833873,"about_ca_topic_score_gemma":0.0001010429,"domain_scores_codex":[0.9962856,0.002118466,0.0008686644,0.000263697,0.0002133117,0.0002502354],"domain_scores_gemma":[0.9964465,0.0005996235,0.0002822791,0.002301427,0.0002927574,0.00007741647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003364607,0.001165477,0.0001144988,0.00001370967,0.0002561306,0.000002045783,0.0205943,0.03595233,0.006130145,0.01781736,0.0002767562,0.9176436],"study_design_scores_gemma":[0.001675304,0.0005888167,0.04515257,0.0002735433,0.0003309225,0.00001291278,0.0007134219,0.9333649,0.003336428,0.0007676501,0.01290085,0.0008827461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002022163,0.0005451165,0.9788236,0.01041382,0.00004991615,0.0004617091,0.000008724161,0.0001255065,0.007549436],"genre_scores_gemma":[0.9709331,0.004457333,0.02322456,0.001176488,0.0000087808,0.00006116703,0.00004181488,0.000008787753,0.00008798495],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9689109,"threshold_uncertainty_score":0.7211593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107617940242926,"score_gpt":0.2562649022384948,"score_spread":0.2351887228360655,"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."}}