{"id":"W4415819329","doi":"10.3390/network5040049","title":"Real-Time Handover in LEO Satellite Networks via Markov Chain-Guided Simulated Annealing","year":2025,"lang":"en","type":"article","venue":"Network","topic":"Satellite Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simulated annealing; Scalability; Handover; Markov chain; Blocking (statistics); Linear programming; Satellite; Markov process","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":[0.0004617663,0.0005388331,0.0006127026,0.0002711942,0.0004800613,0.0005472202,0.0007697495,0.0006629839,0.00139684],"category_scores_gemma":[0.001465464,0.0004044551,0.00053403,0.0002490805,0.000694948,0.0004473779,0.0006365196,0.0006841645,0.0001649374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002414,"about_ca_system_score_gemma":0.001155625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366528,"about_ca_topic_score_gemma":0.01017485,"domain_scores_codex":[0.9997279,0.0001147154,0.000007856053,0.00004154462,0.00005690912,0.00005104464],"domain_scores_gemma":[0.9994665,0.000363078,0.00005092477,0.00003109453,0.00005341998,0.00003506456],"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":[0.00001110056,0.000005051379,0.0001136842,0.000004146639,0.000005150104,0.000007617817,0.00001246419,0.9969521,0.0002768925,0.0008360485,0.00006196487,0.001713844],"study_design_scores_gemma":[0.000002655252,0.000004683744,0.00002330054,7.057875e-7,0.000001170967,0.000001588911,0.000002931477,0.9994178,0.00009113131,0.0003813243,0.00007182996,9.221926e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07235707,0.0001681614,0.9217668,0.000223259,0.00002610233,0.00007068535,0.00004909313,0.0006419115,0.004696914],"genre_scores_gemma":[0.9102803,0.0001097263,0.0874128,0.00006342011,0.00001241123,0.0001654929,0.00007218696,0.0000685975,0.001815075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01366528,"threshold_uncertainty_score":0.02717149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023291663460841,"score_gpt":0.2420114316073533,"score_spread":0.2317785149727448,"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."}}