{"id":"W4417282858","doi":"10.1109/pimrc62392.2025.11274940","title":"Enhancing Sustainability in HAPS-Assisted 6G Networks: Load Estimation Aware Cell Switching","year":2025,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Base station; Interpolation (computer graphics); Cluster analysis; Focus (optics); Estimation; Base (topology); Macro; Cellular network","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":[0.0003676421,0.0007276339,0.0003755118,0.0003609355,0.0003450808,0.0007886942,0.0007672887,0.0004115092,0.0007121365],"category_scores_gemma":[0.001123331,0.000157676,0.0002012109,0.0004286289,0.0003635022,0.00128438,0.0008295873,0.0005692893,0.0001662224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005444498,"about_ca_system_score_gemma":0.0005331633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00787977,"about_ca_topic_score_gemma":0.01427206,"domain_scores_codex":[0.9998548,0.00003374646,0.000004150535,0.00003531388,0.00003258108,0.00003938925],"domain_scores_gemma":[0.9997516,0.0001054175,0.00003233267,0.00003414933,0.00005183922,0.00002471358],"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":[0.0001013357,0.00008647553,0.008436466,0.00004957988,0.00003935708,0.0001238153,0.00008793908,0.8656664,0.005144687,0.004173765,0.001708411,0.1143818],"study_design_scores_gemma":[0.000002727351,0.00002236832,0.0008966424,0.000004769726,0.000008605435,0.00002117919,0.00004303715,0.9952316,0.001005375,0.002192355,0.0005665207,0.000004790217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4761211,0.0010993,0.5085984,0.0008501346,0.0002270956,0.00008199023,0.0003773634,0.001138117,0.01150649],"genre_scores_gemma":[0.9849844,0.0001617604,0.01389841,0.00006795591,0.00002575201,0.00001314128,0.0001040031,0.00001845436,0.0007262046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00787977,"threshold_uncertainty_score":0.0156678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005558644088347478,"score_gpt":0.2505447350367864,"score_spread":0.244986090948439,"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."}}