{"id":"W2610512993","doi":"10.1017/9781316212493.011","title":"Sub-Carrier/Sub-Channel Allocation in OFDMA Networks","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of Manitoba","funders":"","keywords":"Orthogonal frequency-division multiplexing; Fading; Wireless broadband; Narrowband; Computer science; Channel (broadcasting); Electronic engineering; Transmission (telecommunications); Digital broadcasting; Computer network; Wireless; Digital television; Digital Video Broadcasting; Telecommunications; Broadband; Wireless network; Engineering","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":[0.0001813183,0.0004362951,0.000312761,0.0002475024,0.0002720441,0.0007322974,0.0003662261,0.0003947916,0.005881169],"category_scores_gemma":[0.000371277,0.0001631875,0.0001048373,0.0007452175,0.0005342377,0.0009127741,0.0004217494,0.0008193198,0.002838294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004532395,"about_ca_system_score_gemma":0.000349928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005823661,"about_ca_topic_score_gemma":0.0006959465,"domain_scores_codex":[0.9998872,0.00002453008,0.000003826881,0.00001925829,0.00005409698,0.0000110403],"domain_scores_gemma":[0.9999286,0.00003509229,0.000005313105,0.00001003591,0.00001578752,0.000005129986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000430994,0.00004498259,0.0001161227,0.0002357963,0.00001098125,0.0001161606,0.0001467276,0.03323908,0.003952061,0.496986,0.04011251,0.4249964],"study_design_scores_gemma":[0.00001101412,0.00006550553,0.0004758052,0.0001810517,0.00001427639,0.000463755,0.00009064426,0.07719401,0.002857224,0.337299,0.581323,0.00002467441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007357516,0.07802602,0.5285695,0.001882087,0.001738047,0.00006763936,0.000169714,0.0003813802,0.3818082],"genre_scores_gemma":[0.2670521,0.1167214,0.2605462,0.00110554,0.002208703,0.0002536676,0.0003099464,0.000388019,0.3514144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005881169,"threshold_uncertainty_score":0.01967442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228057847863309,"score_gpt":0.1792397761104373,"score_spread":0.1669591976318042,"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."}}