{"id":"W4400904778","doi":"10.1109/twc.2024.3426521","title":"MIMO-NOMA Enabled Sectorized Cylindrical Massive Antenna Array for HAPS With Spatially Correlated Channels","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noma; MIMO; Computer science; Wireless; Antenna (radio); Antenna array; Electronic engineering; Telecommunications; Telecommunications link; Channel (broadcasting); Engineering","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":[0.0001676211,0.0005058221,0.0004632516,0.0001671653,0.0002333678,0.0004259335,0.000455393,0.0002998198,0.0009387003],"category_scores_gemma":[0.0004944925,0.00015358,0.0003633508,0.0004830265,0.0002950603,0.0003704906,0.000556367,0.0003740054,0.0005029826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269073,"about_ca_system_score_gemma":0.0004033688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408103,"about_ca_topic_score_gemma":0.002343443,"domain_scores_codex":[0.9997196,0.0001133828,0.000008969946,0.00004983924,0.00005475618,0.00005353572],"domain_scores_gemma":[0.9997336,0.00007591998,0.00004031783,0.00005760125,0.00006908565,0.00002342981],"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":[0.0005109937,0.00008169524,0.004152562,0.0002277182,0.0001823831,0.001616071,0.0002583278,0.6503482,0.150237,0.02219892,0.006227918,0.1639582],"study_design_scores_gemma":[0.00001758764,0.0002871393,0.0009074941,0.000007079856,0.0000246068,0.0004658207,0.00007601964,0.9855263,0.007940353,0.002440906,0.002287106,0.00001948063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09793535,0.0004122349,0.8925347,0.0002585929,0.0001352625,0.00004021849,0.0001692173,0.0006858108,0.007828549],"genre_scores_gemma":[0.9204507,0.0002176751,0.07671821,0.00008876088,0.0000361825,0.00004355088,0.0001167118,0.00001237054,0.002315751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001408103,"threshold_uncertainty_score":0.00314033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130803877616735,"score_gpt":0.2521046350501312,"score_spread":0.2307965962739638,"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."}}