{"id":"W2109714708","doi":"10.1109/jsac.2007.070219","title":"Joint optimization of relay-precoders and decoders with partial channel side information in cooperative networks","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":185,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Relay; Computer science; Channel state information; Beamforming; Relay channel; Decoding methods; Terminal (telecommunication); Channel (broadcasting); Computer network; Transmission (telecommunications); Joint (building); Telecommunications; Wireless; Engineering","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":[0.00202433,0.001145995,0.001127631,0.0003561644,0.0002877248,0.001056078,0.0006953358,0.001074896,0.0006692839],"category_scores_gemma":[0.00456576,0.0005642677,0.0003969538,0.0007221671,0.0009330293,0.001184976,0.001051365,0.0005086889,0.0003050236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005466033,"about_ca_system_score_gemma":0.001141498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804781,"about_ca_topic_score_gemma":0.001958941,"domain_scores_codex":[0.9988266,0.0006520873,0.00005226007,0.000138371,0.0001934589,0.0001372283],"domain_scores_gemma":[0.998312,0.001112842,0.0001412566,0.0001731851,0.0002142431,0.00004653441],"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":[0.00006922474,0.00001900069,0.0003177067,0.00003547844,0.00003284773,0.00005924484,0.00007392642,0.9756615,0.002319034,0.007763458,0.0002179393,0.01343067],"study_design_scores_gemma":[0.0000176049,0.00005517076,0.0001003132,0.000005514364,0.00001889289,0.00002951909,0.00001850292,0.9902887,0.002048291,0.007202724,0.0002072194,0.000007513122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07849862,0.0003990731,0.9184358,0.0001645654,0.0000130728,0.00002396801,0.00005116732,0.0001319622,0.002281817],"genre_scores_gemma":[0.9172376,0.000401806,0.07997839,0.00005078507,0.00002621549,0.0000929145,0.00006331199,0.00003003216,0.002118936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00202433,"threshold_uncertainty_score":0.01070583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03420949191589935,"score_gpt":0.2779440421411942,"score_spread":0.2437345502252948,"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."}}