{"id":"W2901479137","doi":"10.3390/sym10110647","title":"Transceiver Design and Power Allocation for SWIPT in MIMO Cognitive Radio Systems","year":2018,"lang":"en","type":"article","venue":"Symmetry","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Computer science; MIMO; Cognitive radio; Transceiver; Maximum power transfer theorem; Interference (communication); Wireless; Transmission (telecommunications); Signal-to-noise ratio (imaging); Electronic engineering; Power (physics); Computer network; Beamforming; Telecommunications; Channel (broadcasting); Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002446668,0.0001148387,0.0001383412,0.00009630722,0.00003469896,0.00002900241,0.00005929833,0.0001150521,0.00000431782],"category_scores_gemma":[0.00005180008,0.0001227254,0.00001923498,0.000167682,0.0000529483,0.00009790519,0.000004305201,0.00009132805,0.000007413741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004344167,"about_ca_system_score_gemma":0.000009750332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001308093,"about_ca_topic_score_gemma":0.00001417464,"domain_scores_codex":[0.9993693,0.00003943274,0.000156033,0.0001587358,0.00006787966,0.0002086628],"domain_scores_gemma":[0.9995012,0.0002959143,0.00001915506,0.00008476013,0.0000531064,0.00004592246],"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":[0.0008233148,0.000393863,0.01971559,0.002904581,0.00131833,0.00007579703,0.01514665,0.7377232,0.04247195,0.04225284,0.02181319,0.1153607],"study_design_scores_gemma":[0.002460484,0.0003148021,0.01319938,0.001054493,0.00006733691,0.00002625733,0.0004559702,0.9660679,0.01308362,0.000367293,0.002195647,0.0007068078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2956901,0.00188192,0.6971151,0.000018534,0.0008706006,0.0005286548,0.000007500642,0.0002233205,0.003664333],"genre_scores_gemma":[0.9965791,0.00003227591,0.002947135,0.00002282447,0.0001753815,0.0000707099,0.000007328114,0.00004011345,0.0001251824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7008889,"threshold_uncertainty_score":0.5004597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369580910555569,"score_gpt":0.2240215164253862,"score_spread":0.2103257073198305,"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."}}