{"id":"W1996197208","doi":"10.1109/tsp.2012.2224344","title":"Quantization and Bit Allocation for Channel State Feedback in Relay-Assisted Wireless Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantization (signal processing); Channel state information; Computer science; Relay; Wireless network; Wireless; Channel (broadcasting); Node (physics); Computer network; Algorithm; Telecommunications; 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":[0.002100822,0.0005878673,0.0007774286,0.0004366904,0.000449382,0.00115127,0.0007883969,0.0006918553,0.001088101],"category_scores_gemma":[0.008567807,0.0003237712,0.000174855,0.0008366239,0.001481492,0.002046935,0.0007433794,0.000732346,0.00021022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116031,"about_ca_system_score_gemma":0.0008618281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293297,"about_ca_topic_score_gemma":0.001549699,"domain_scores_codex":[0.9984396,0.0008670767,0.00007171129,0.0001408153,0.0003780604,0.0001028449],"domain_scores_gemma":[0.996617,0.002554165,0.0002275913,0.0002813481,0.0002741584,0.00004560773],"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":[0.0002387029,0.00003928624,0.0003811308,0.000102567,0.00002200241,0.0000466577,0.0001254822,0.8648866,0.006026183,0.0713743,0.0006887888,0.05606826],"study_design_scores_gemma":[0.0000152804,0.00003876052,0.0000915917,0.00001316668,0.000007175946,0.00002264461,0.0000150849,0.9717751,0.00234629,0.0252082,0.0004542846,0.00001242072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02898602,0.001779463,0.9670483,0.0003138928,0.00004458043,0.00003573035,0.00003905395,0.0001265133,0.001626437],"genre_scores_gemma":[0.896364,0.001387957,0.1006432,0.0001164575,0.00006813898,0.00009567858,0.00003534585,0.00004118296,0.001248079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002100822,"threshold_uncertainty_score":0.01111037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0494279372898304,"score_gpt":0.2854470547955157,"score_spread":0.2360191175056853,"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."}}