{"id":"W3205914885","doi":"10.1109/twc.2021.3117494","title":"On the Performance of Multi-Antenna IRS-Assisted NOMA Networks With Continuous and Discrete IRS Phase Shifting","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Diversity gain; Telecommunications link; Noma; Topology (electrical circuits); Base station; Telecommunications; Transmitter power output; Quantization (signal processing); Mathematics; MIMO; Algorithm; Beamforming","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001396976,0.0002575147,0.0003203905,0.0001287204,0.000661927,0.00004637109,0.0009416201,0.0001250757,0.00001408065],"category_scores_gemma":[0.00001965457,0.0002103559,0.00007555891,0.0006371539,0.0005691876,0.0001844157,0.00002515444,0.0008932091,0.000004242188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007935312,"about_ca_system_score_gemma":0.00003426204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000118241,"about_ca_topic_score_gemma":0.0002343127,"domain_scores_codex":[0.9988015,0.0001439688,0.0004245286,0.0002136309,0.000158118,0.0002582545],"domain_scores_gemma":[0.9956778,0.001170788,0.0001385404,0.002793141,0.0001638294,0.00005591513],"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":[0.0001505408,0.001383646,0.000270346,0.0001400791,0.0005281745,0.000006064881,0.001414989,0.7263142,0.03472921,0.004773731,0.00003722674,0.2302518],"study_design_scores_gemma":[0.001234781,0.0001762671,0.0005329104,0.0004292829,0.00005899106,0.00002166174,0.001389482,0.9523122,0.04334961,0.00002018092,0.0001463483,0.000328294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.438646,0.0006770329,0.5590352,0.0006568622,0.00006323089,0.0002618159,0.00004413222,0.0004321974,0.0001834947],"genre_scores_gemma":[0.9850366,0.005157642,0.009357329,0.00005261978,0.000004014562,0.0002590826,0.0000190706,0.00006071112,0.00005296176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5496779,"threshold_uncertainty_score":0.8578066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410768954844585,"score_gpt":0.2581245474604519,"score_spread":0.2340168579120061,"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."}}