{"id":"W2118058487","doi":"10.1109/icc.2006.255763","title":"Downlink Joint Base-station Assignment and Packet Scheduling Algorithm for Cellular CDMA/TDMA Networks","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Time division multiple access; Base station; Computer science; Network packet; Computer network; Transmission delay; Telecommunications link; Scheduling (production processes); Cellular network; Code division multiple access; Optimization problem; Real-time computing; Algorithm; Mathematical optimization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006149412,0.0005854208,0.0007482939,0.0004053969,0.0004957051,0.0009074676,0.0008721481,0.0005874794,0.001756458],"category_scores_gemma":[0.001140715,0.0003275062,0.000264162,0.0006772104,0.0003932678,0.0006286627,0.0006841302,0.0006635756,0.0004990982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108985,"about_ca_system_score_gemma":0.001594301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004534022,"about_ca_topic_score_gemma":0.004077057,"domain_scores_codex":[0.9996333,0.0001090846,0.00001557003,0.00006545371,0.00009098039,0.00008560751],"domain_scores_gemma":[0.9996675,0.000144858,0.00005158814,0.00003273689,0.00006926217,0.00003410623],"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":[0.0002096757,0.0001307322,0.0005547362,0.00004916193,0.00002881208,0.00005894173,0.00006779618,0.8449435,0.003595035,0.01110812,0.002235164,0.1370182],"study_design_scores_gemma":[0.00001600724,0.00001810421,0.0000406598,0.000001382175,0.00000290992,0.00000872894,0.000006141394,0.9979632,0.0004492947,0.001231846,0.0002598377,0.000001999304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0233292,0.0001659774,0.9740879,0.0001019793,0.00003428983,0.00005879463,0.00003255655,0.0004235301,0.001765871],"genre_scores_gemma":[0.5453139,0.0002115483,0.4500316,0.0001145057,0.00004477628,0.0002675788,0.0001759204,0.0000869697,0.003753231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004534022,"threshold_uncertainty_score":0.009015262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015300850426564,"score_gpt":0.2786098435428289,"score_spread":0.2284568350385632,"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."}}