{"id":"W2767012393","doi":"10.1109/tcomm.2017.2765637","title":"Robust MISO Beamforming With Cooperative Jamming for Secure Transmission From Perspectives of QoS and Secrecy Rate","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Jamming; Artificial noise; Computer science; Quality of service; Transmission (telecommunications); Transmitter power output; Secure transmission; Precoding; Covariance; Mathematical optimization; Optimization problem; Signal-to-noise ratio (imaging); Secrecy; Computer network; Channel (broadcasting); MIMO; Transmitter; Telecommunications; Mathematics; Algorithm; Computer security","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":[0.00150233,0.00218136,0.0008947149,0.0005672676,0.0004420925,0.0009414671,0.0006532678,0.0009968798,0.001356084],"category_scores_gemma":[0.003620273,0.0005345797,0.0006545415,0.0008594011,0.001176448,0.001475471,0.001023069,0.0009597112,0.0006123342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007092587,"about_ca_system_score_gemma":0.0008100257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006677136,"about_ca_topic_score_gemma":0.0006866529,"domain_scores_codex":[0.9986438,0.000519447,0.00006680055,0.0001807148,0.0004190285,0.0001702052],"domain_scores_gemma":[0.9983991,0.0008552893,0.0003210864,0.0001298241,0.0002373789,0.00005737556],"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":[0.0002834294,0.00006323151,0.000445472,0.0001994491,0.00006710642,0.0001506845,0.0001410511,0.8654685,0.0245431,0.06998007,0.000884422,0.03777346],"study_design_scores_gemma":[0.00002389061,0.0001507415,0.00009993851,0.00001780911,0.00001926796,0.00006919562,0.0000320846,0.9834775,0.005277254,0.01019727,0.000610895,0.00002415071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008828077,0.000210879,0.9886541,0.0001580172,0.00002082002,0.0000241042,0.00002306017,0.00009204745,0.001988812],"genre_scores_gemma":[0.7959509,0.0007920461,0.2002149,0.0002022068,0.00008547176,0.0002084131,0.00007271695,0.00005767786,0.002415576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00218136,"threshold_uncertainty_score":0.00794518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821635600304873,"score_gpt":0.271790208672654,"score_spread":0.2335738526696052,"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."}}