{"id":"W1977639277","doi":"10.1109/lcomm.2014.2328588","title":"Rate Optimization for Hybrid SC-FDE/OFDM Decode-and-Forward MIMO Relay Systems","year":2014,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Precoding; MIMO; Computer science; Orthogonal frequency-division multiplexing; SC-FDE; Relay; Equalization (audio); Bit error rate; Transmitter power output; Multiplexing; Spatial multiplexing; Mathematics; Beamforming; Algorithm; Power (physics); Telecommunications; Decoding methods; Transmitter; Channel (broadcasting)","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":[0.001068395,0.001139727,0.0009093189,0.0003852902,0.0003079113,0.001387294,0.0006758277,0.0008189045,0.001953066],"category_scores_gemma":[0.001835101,0.0004274446,0.0004337078,0.0005852177,0.0006572859,0.0009493519,0.0007027395,0.0006282125,0.0004483536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043752,"about_ca_system_score_gemma":0.0006778135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002021816,"about_ca_topic_score_gemma":0.002015118,"domain_scores_codex":[0.9993375,0.0002406062,0.00002441186,0.00009207574,0.0002127244,0.00009258133],"domain_scores_gemma":[0.9993248,0.0004124552,0.00008121406,0.00004113962,0.0001235653,0.00001680189],"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":[0.00005614257,0.00003127309,0.0002128134,0.00009300073,0.00003693412,0.0001325423,0.0000667494,0.9499868,0.00627535,0.0305279,0.0006618294,0.01191871],"study_design_scores_gemma":[0.000009008568,0.00002689054,0.00006327361,0.000004770354,0.000008746404,0.00003618224,0.00001393952,0.9948065,0.000918948,0.003785509,0.0003193533,0.000006838784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03696457,0.0009492412,0.9544569,0.0002647229,0.0000375575,0.00004319257,0.0001223872,0.0001195762,0.007041818],"genre_scores_gemma":[0.898237,0.001094005,0.09442369,0.00008920018,0.000067418,0.0001219156,0.0001125548,0.00004941054,0.00580474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002021816,"threshold_uncertainty_score":0.007573009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03796078662537239,"score_gpt":0.2763551307731238,"score_spread":0.2383943441477515,"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."}}