{"id":"W4205407795","doi":"10.1109/jsac.2022.3143211","title":"RIS-Assisted Joint Transmission in a Two-Cell Downlink NOMA Cellular System","year":2022,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Qatar National Research Fund; Concordia University","keywords":"Telecommunications link; Computer science; Base station; Optimization problem; Noma; Transmission (telecommunications); Mathematical optimization; Interference (communication); Convex optimization; Enhanced Data Rates for GSM Evolution; Single antenna interference cancellation; Linear programming; Computer network; Algorithm; Regular polygon; Telecommunications; Mathematics","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":[0.0004724537,0.0007021758,0.0006759069,0.0001989775,0.0003498456,0.0008671857,0.0006975161,0.0006634504,0.0006131019],"category_scores_gemma":[0.0007195604,0.0002977472,0.0004049909,0.0004583697,0.0006229868,0.000601348,0.0009954229,0.0006038458,0.0002152187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004690118,"about_ca_system_score_gemma":0.0005105574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002931333,"about_ca_topic_score_gemma":0.003513199,"domain_scores_codex":[0.9993821,0.000248121,0.00001463373,0.00009683848,0.0001277728,0.000130535],"domain_scores_gemma":[0.9996853,0.0001120323,0.00005713694,0.00003624046,0.00006920312,0.0000401005],"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":[0.0002011931,0.00007030695,0.00141215,0.0000712387,0.00006756344,0.0005265655,0.0001182593,0.9550428,0.01420404,0.007651698,0.0005532354,0.02008099],"study_design_scores_gemma":[0.000009600984,0.00007411333,0.0001945472,0.000002421453,0.00001540843,0.00005282773,0.00002008757,0.9976342,0.001114489,0.0006046298,0.0002704892,0.000007189331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2856901,0.0007028259,0.7013199,0.0003524354,0.0001020785,0.00006658694,0.00008212468,0.0002839126,0.01140015],"genre_scores_gemma":[0.9796459,0.0001124676,0.01838066,0.00004480904,0.00002643673,0.00003374222,0.00002303088,0.000007402949,0.001725596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002931333,"threshold_uncertainty_score":0.0058285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638300017207069,"score_gpt":0.2602632591787133,"score_spread":0.2338802590066427,"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."}}