{"id":"W4313886817","doi":"10.1109/tvt.2023.3235273","title":"On the Beamforming Design and Transmit Power Analysis for Single- and Multi-Cluster NOMA","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Beamforming; Transmitter power output; Noma; Electronic engineering; Computer science; WSDMA; Power (physics); Interference (communication); Transmission (telecommunications); Channel (broadcasting); Precoding; Engineering; Telecommunications; MIMO; Transmitter; Telecommunications link","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001523308,0.001692474,0.0007965303,0.0009061965,0.0005918511,0.001304081,0.0008250814,0.000964634,0.00374137],"category_scores_gemma":[0.004115456,0.0006883453,0.00074444,0.001944985,0.001310945,0.001692957,0.001047637,0.001713482,0.001550065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171883,"about_ca_system_score_gemma":0.001004887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002050267,"about_ca_topic_score_gemma":0.001857215,"domain_scores_codex":[0.9988323,0.0004369544,0.00004822801,0.0001708306,0.0004223415,0.00008938577],"domain_scores_gemma":[0.9979754,0.00120134,0.0001594083,0.000122534,0.0005058073,0.00003547216],"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":[0.00007551077,0.00006511514,0.0004527637,0.0004625158,0.00006724808,0.0002335818,0.0002121204,0.7683651,0.01294837,0.1410619,0.004234566,0.07182118],"study_design_scores_gemma":[0.000006554124,0.000114255,0.0003363097,0.00005283418,0.00001977618,0.0001561231,0.00005373749,0.9576657,0.002642771,0.03501216,0.003900578,0.00003921543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00203217,0.0009714034,0.9920597,0.0001683344,0.00004935428,0.00002943332,0.00004075122,0.00005593623,0.004592912],"genre_scores_gemma":[0.5053733,0.01739408,0.4579772,0.0008202747,0.001052255,0.0006936021,0.0004428822,0.0003161292,0.01593027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00374137,"threshold_uncertainty_score":0.0125162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802195677853514,"score_gpt":0.2387992866543118,"score_spread":0.2107773298757766,"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."}}