{"id":"W2065648759","doi":"10.1002/wcm.266","title":"Interference management using basestation coordination in broadband wireless access networks","year":2006,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Memorial University of Newfoundland","funders":"","keywords":"Computer science; Computer network; Network packet; Hybrid automatic repeat request; Transmission delay; Wireless broadband; Quality of service; Real-time computing; Scheduling (production processes); Packet loss; Throughput; Radio Link Protocol; Wireless; Wireless network; Telecommunications; Telecommunications link","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":[0.0006706895,0.0004126335,0.0005007688,0.0003570086,0.000523767,0.0006087294,0.0005435476,0.0003895648,0.0007676153],"category_scores_gemma":[0.0007536534,0.0001501584,0.0001907122,0.0004213913,0.0004308769,0.0003637137,0.0004652729,0.0003839135,0.0002155339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801613,"about_ca_system_score_gemma":0.0004619818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002658025,"about_ca_topic_score_gemma":0.001578741,"domain_scores_codex":[0.9996032,0.000154199,0.00001256447,0.00006451608,0.0001046207,0.00006096144],"domain_scores_gemma":[0.9997221,0.0001015926,0.00006285121,0.00002228053,0.0000606443,0.00003056557],"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":[0.0003365048,0.0001521643,0.001385749,0.00004847917,0.00006740142,0.0001383929,0.00009055832,0.794398,0.02711079,0.01075707,0.001427248,0.1640875],"study_design_scores_gemma":[0.00002693263,0.000113686,0.000260065,0.00000405739,0.00001596981,0.00005493658,0.00001437396,0.9929212,0.004248357,0.001476146,0.0008585692,0.00000579823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09661858,0.0006351589,0.8977021,0.0001628697,0.0000615088,0.0000449423,0.00001501768,0.0003672926,0.004392578],"genre_scores_gemma":[0.8936279,0.0002703919,0.1042967,0.00006765698,0.00008921869,0.0000365292,0.00002874221,0.00002279027,0.001560014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002658025,"threshold_uncertainty_score":0.005285084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559773661990824,"score_gpt":0.2688552337175151,"score_spread":0.2532574970976069,"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."}}