{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008687832,0.0007808785,0.0005844067,0.000302749,0.0002594495,0.0007941372,0.0006393337,0.000609541,0.001409729],"category_scores_gemma":[0.00129481,0.0003125163,0.0005506436,0.0005467476,0.0005788846,0.0007534002,0.0005635878,0.0005802126,0.0004464813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000436365,"about_ca_system_score_gemma":0.0007263764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005759128,"about_ca_topic_score_gemma":0.0006587505,"domain_scores_codex":[0.9994585,0.0002032874,0.00002464602,0.0001012446,0.0001571394,0.00005521718],"domain_scores_gemma":[0.9995796,0.0001845343,0.00008579129,0.00004382764,0.00008918211,0.00001713981],"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":[0.00006529449,0.00009983603,0.0004369179,0.000299211,0.00006362502,0.0003193266,0.0001811706,0.8409171,0.02865465,0.05225122,0.001426761,0.07528491],"study_design_scores_gemma":[0.00001113656,0.0001078598,0.000118654,0.000009495231,0.00001450704,0.0001290861,0.00003156125,0.9859324,0.002342776,0.0103132,0.0009783939,0.00001094028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00635646,0.0002661377,0.9906108,0.00006841712,0.00002770271,0.00002072662,0.00001963083,0.0000499097,0.002580238],"genre_scores_gemma":[0.7658891,0.001439507,0.22813,0.0002054725,0.0001268449,0.0001815157,0.00008201468,0.00005092519,0.003894614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001409729,"threshold_uncertainty_score":0.004716039,"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."}}