{"id":"W4385756464","doi":"10.1109/twc.2023.3302319","title":"Simultaneous Beam Training and Target Sensing in ISAC Systems With RIS","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Scheme (mathematics); Beam (structure); Line-of-sight; Domain (mathematical analysis); Base station; Non-line-of-sight propagation; Real-time computing; Doppler effect; Simulation; Electronic engineering; Wireless; Telecommunications; Optics; Aerospace engineering; Physics; Engineering; 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":[0.0003178804,0.0004320831,0.0004568486,0.0002239026,0.0002694745,0.0004161814,0.0005016044,0.000477031,0.0004728411],"category_scores_gemma":[0.0009877721,0.0002093277,0.000273948,0.0005344378,0.0005004916,0.0006365054,0.000610245,0.0005098617,0.0001231872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003402378,"about_ca_system_score_gemma":0.0006013495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513918,"about_ca_topic_score_gemma":0.0031687,"domain_scores_codex":[0.999587,0.00008396856,0.00001151538,0.00007120599,0.0001771647,0.0000691264],"domain_scores_gemma":[0.9995937,0.0001858922,0.00006262428,0.00006470018,0.00007061286,0.00002237965],"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":[0.0003896797,0.00009205277,0.005041352,0.00009378058,0.00005999244,0.0002912012,0.0002274423,0.7607284,0.07675881,0.01078745,0.0006714105,0.1448584],"study_design_scores_gemma":[0.000009882139,0.00009920094,0.0006146603,0.00000272232,0.000007931879,0.0000831236,0.00002309745,0.9908769,0.007160456,0.0007016156,0.0004116318,0.000008835505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1729931,0.0002637202,0.8219831,0.0001300028,0.00004905355,0.00003440202,0.00002527069,0.0004858956,0.004035418],"genre_scores_gemma":[0.9043022,0.00007791661,0.09457206,0.00006166404,0.00001792441,0.00002632618,0.00002480097,0.00001195672,0.0009051286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002513918,"threshold_uncertainty_score":0.004998624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268085898474024,"score_gpt":0.2525566853015169,"score_spread":0.2257480954541145,"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."}}