{"id":"W2163048703","doi":"10.1109/sarnof.2010.5469704","title":"Provisioning backhaul traffic flows in TDMA/OFDMA infrastructure Wireless Mesh Networks with near-perfect QoS","year":2010,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Backhaul (telecommunications); Computer science; Computer network; Time division multiple access; Wireless mesh network; Quality of service; Scheduling (production processes); Beamforming; Frequency-division multiple access; Wireless; Wireless network; Channel (broadcasting); Mathematical optimization; Base station; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006067187,0.0003528302,0.0002674744,0.000286537,0.000517975,0.0003723687,0.0004949555,0.0003036232,0.0006780906],"category_scores_gemma":[0.001309833,0.0001658214,0.0002119563,0.0003680342,0.0004337603,0.0004620063,0.0003899794,0.0002945631,0.00009143059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006701276,"about_ca_system_score_gemma":0.000765907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003946175,"about_ca_topic_score_gemma":0.005264721,"domain_scores_codex":[0.9998274,0.00006239597,0.000007077645,0.00002055385,0.00004181289,0.0000407567],"domain_scores_gemma":[0.9996091,0.0002332547,0.00005160057,0.00003111094,0.00005322002,0.00002175866],"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":[0.00006674195,0.00004116953,0.00114245,0.00004387622,0.00001253155,0.00006630951,0.00006069579,0.9385504,0.006342523,0.01258388,0.0004120647,0.04067741],"study_design_scores_gemma":[0.00000722874,0.00002507039,0.0001011406,0.000001724574,0.000002394985,0.00001443441,0.00001353857,0.9963166,0.0006711489,0.002574928,0.0002693265,0.00000238404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1581314,0.000176614,0.8381038,0.0001229219,0.00003065803,0.00008722175,0.00005500414,0.0002250559,0.003067159],"genre_scores_gemma":[0.7894745,0.0001989026,0.209155,0.0000311072,0.00002080007,0.0001026465,0.00006501648,0.00002072405,0.0009312848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003946175,"threshold_uncertainty_score":0.007846415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003450497764557694,"score_gpt":0.2000117285165861,"score_spread":0.1965612307520284,"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."}}