{"id":"W3089089250","doi":"10.1109/lpt.2020.3025452","title":"Outage Performance for Mixed FSO-RF Transmission in Satellite-Aerial- Terrestrial Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Fading; Computer science; Rayleigh fading; Transmission (telecommunications); Electronic engineering; Beamforming; Maximal-ratio combining; Channel (broadcasting); Radio frequency; Channel state information; Signal-to-noise ratio (imaging); Satellite; Telecommunications; Wireless; 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":[0.0014316,0.0005621524,0.0005129544,0.000640887,0.0006379204,0.0007671524,0.0004616246,0.0005583942,0.0009719186],"category_scores_gemma":[0.005468914,0.0001745282,0.0002205908,0.000872252,0.0009952736,0.0008504732,0.0007781412,0.0003924239,0.0001238792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499942,"about_ca_system_score_gemma":0.0005303465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004906756,"about_ca_topic_score_gemma":0.004012395,"domain_scores_codex":[0.9991428,0.0003509547,0.00003609686,0.00006506495,0.0002212382,0.00018397],"domain_scores_gemma":[0.9949753,0.003871219,0.000428374,0.000142261,0.000494516,0.00008832124],"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":[0.0002014927,0.00002877638,0.00411636,0.0001277575,0.00003774159,0.0004703936,0.0001886835,0.9692932,0.006180946,0.01010598,0.0005794997,0.008669108],"study_design_scores_gemma":[0.000004920708,0.00005569624,0.001120441,0.0000136245,0.00001515339,0.0001539014,0.0000869853,0.9956695,0.001012995,0.001735664,0.0001206633,0.00001047627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.839411,0.002536065,0.1452443,0.0004501914,0.00004661014,0.00002930797,0.0003270645,0.0002764739,0.01167884],"genre_scores_gemma":[0.9978766,0.0002689676,0.001510771,0.00001752991,0.00001315326,0.000007175548,0.00003898773,0.000007995967,0.0002587231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004906756,"threshold_uncertainty_score":0.01088285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577170208420355,"score_gpt":0.2199780888831167,"score_spread":0.2042063867989131,"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."}}