{"id":"W4390576845","doi":"10.1109/twc.2023.3347698","title":"Sum-Rate Maximization for RIS-IoV: From Instantaneous to Statistical CSI","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Channel state information; Computer science; Beamforming; Coordinate descent; Wireless; Communications system; Traverse; Transmitter; Channel (broadcasting); Real-time computing; Computer network; Algorithm; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001414451,0.0003035962,0.0002933694,0.0004016923,0.0004568405,0.0001646475,0.001314524,0.0001996473,0.00007331813],"category_scores_gemma":[0.00002993723,0.000343598,0.0001096432,0.0007780354,0.0001877828,0.0002796776,0.00001762809,0.0006408145,0.0002282519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003117875,"about_ca_system_score_gemma":0.00005585426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006090371,"about_ca_topic_score_gemma":0.0005868773,"domain_scores_codex":[0.9985328,0.00009667244,0.0005114711,0.0003519451,0.0001677234,0.0003393363],"domain_scores_gemma":[0.9953927,0.001807239,0.00003629281,0.002513924,0.0001233344,0.0001264987],"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":[0.00005020453,0.0002141302,0.000002943045,0.00009944388,0.0002396174,0.00000490005,0.0007538326,0.5411751,0.01366044,0.02266853,0.001546271,0.4195846],"study_design_scores_gemma":[0.0003899831,0.0001206765,0.00004406206,0.0002780538,0.00009665929,0.00000898658,0.000417384,0.905698,0.03680667,0.006437105,0.04902704,0.00067537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006052408,0.0008292647,0.9842895,0.001677578,0.0005085227,0.0007671092,0.00196017,0.003423667,0.0004917372],"genre_scores_gemma":[0.9131275,0.00335837,0.08171087,0.0001026589,0.00002149591,0.001181315,0.0002381302,0.0001264109,0.0001333002],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.907075,"threshold_uncertainty_score":0.9999016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592188164983689,"score_gpt":0.2797633625990709,"score_spread":0.253841480949234,"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."}}