{"id":"W2049483782","doi":"10.1109/tvt.2012.2185964","title":"Impact of Channel Estimation Error on the Performance of Amplify-and-Forward Two-Way Relaying","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Relay; Bit error rate; Computer science; Signal-to-noise ratio (imaging); Channel state information; Imperfect; Channel (broadcasting); Interference (communication); Algorithm; Control theory (sociology); Power (physics); Telecommunications; Wireless","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":[0.002719763,0.001142919,0.0008681468,0.0004713226,0.0004623994,0.001009536,0.0006533836,0.001003609,0.0004643918],"category_scores_gemma":[0.0186545,0.0002758966,0.0002510135,0.0005420573,0.0009545948,0.001669652,0.0009932432,0.0006572943,0.0001258035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006844466,"about_ca_system_score_gemma":0.0007268231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001989676,"about_ca_topic_score_gemma":0.001427257,"domain_scores_codex":[0.9982109,0.0006803601,0.00009182312,0.0002271309,0.0005660369,0.0002236335],"domain_scores_gemma":[0.9833139,0.0135634,0.0009248502,0.0009045606,0.001219723,0.00007354216],"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":[0.0001843709,0.00003686416,0.002734617,0.00009760167,0.00005964877,0.0001805046,0.0001014721,0.9603255,0.006812347,0.004952743,0.000144527,0.02436985],"study_design_scores_gemma":[0.00001441171,0.0002605336,0.001517872,0.00002209934,0.0000540949,0.0002931192,0.0000446224,0.9767814,0.01786042,0.002861231,0.0002538005,0.00003651681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5887174,0.002786602,0.4015297,0.0004499988,0.00006185806,0.0000406083,0.0001223514,0.0004575633,0.005833826],"genre_scores_gemma":[0.992706,0.0004256849,0.006478906,0.00002432447,0.00001014778,0.000008239899,0.00002227155,0.00001521937,0.0003091312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002719763,"threshold_uncertainty_score":0.01438361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03308982267103588,"score_gpt":0.2943612709442491,"score_spread":0.2612714482732132,"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."}}