{"id":"W2898496147","doi":"10.1145/3265863.3265877","title":"QoS based Joint Radio Resource Allocation for Multi-Homing Calls in Heterogeneous Wireless Access Network","year":2018,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Quality of service; Subcarrier; Resource allocation; Computer network; Multihoming; Wireless network; Mathematical optimization; Lagrange multiplier; Wireless; Throughput; Distributed computing; Orthogonal frequency-division multiplexing; Telecommunications; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008079144,0.000215694,0.0002917022,0.00009909102,0.0001809352,0.0003966298,0.001141989,0.0001394238,0.00001783344],"category_scores_gemma":[0.00002193731,0.0001955807,0.00009693543,0.0004871799,0.0000621319,0.0003765204,0.000267608,0.0001301136,0.00001213861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009163788,"about_ca_system_score_gemma":0.00009622725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000102056,"about_ca_topic_score_gemma":0.0005531626,"domain_scores_codex":[0.9979613,0.0001507707,0.0004551608,0.000605158,0.0002143902,0.0006131781],"domain_scores_gemma":[0.9987351,0.0001925145,0.0001603759,0.000666932,0.000110625,0.0001344903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004326163,0.0006834861,0.006576347,0.0002838898,0.00008526495,0.00005594041,0.001370364,0.4361396,0.001741279,0.01562687,0.06583491,0.4711694],"study_design_scores_gemma":[0.001162571,0.0001508707,0.0007450252,0.0001334745,0.000003031511,0.000004541957,0.000004817821,0.9704216,0.006547564,0.0001641672,0.02038426,0.00027814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006960087,0.00003449023,0.9858252,0.0006236708,0.0002824649,0.005726156,0.000001287941,0.0001770574,0.0003695234],"genre_scores_gemma":[0.8243371,0.000002566564,0.1653476,0.003025512,0.001544007,0.005356424,0.00001303795,0.00004488718,0.0003288711],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8204777,"threshold_uncertainty_score":0.7975551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07468612381736336,"score_gpt":0.3221653282446404,"score_spread":0.247479204427277,"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."}}