{"id":"W2889009405","doi":"10.1109/ccece.2018.8447574","title":"Inter-Cell Interference Coordination Using Fractional Frequency Reuse Scheme in Multi-Relay Multi-Cell OFDMA Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Orthogonal frequency-division multiple access; Interference (communication); Orthogonal frequency-division multiplexing; Frequency reuse; Cellular network; Computer science; Relay; Electronic engineering; Frequency-division multiple access; Reuse; Computer network; Engineering; Base station; Channel (broadcasting)","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":[0.0005658754,0.0004553873,0.0005751717,0.0004237302,0.0005957908,0.0005943451,0.0008243757,0.0004637524,0.0003862079],"category_scores_gemma":[0.001120227,0.0001694455,0.0003214852,0.0005992936,0.0005449091,0.0005039611,0.000433278,0.0003494006,0.0001097704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365424,"about_ca_system_score_gemma":0.000554188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003396304,"about_ca_topic_score_gemma":0.003187183,"domain_scores_codex":[0.9994836,0.0001662886,0.00002359383,0.00009957007,0.0001395201,0.0000873805],"domain_scores_gemma":[0.9993056,0.0002673928,0.0001494857,0.0001167604,0.0001241135,0.00003660182],"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":[0.0004626325,0.0001374101,0.002669599,0.0001693832,0.000145421,0.0009181036,0.0003800713,0.7115592,0.06806255,0.02483209,0.001582843,0.1890808],"study_design_scores_gemma":[0.00002458031,0.0002342659,0.0008009153,0.00001234516,0.00005135504,0.0005388258,0.00005332695,0.9786633,0.01442917,0.003673077,0.001488999,0.00002984708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1590708,0.001559477,0.8342096,0.0001669868,0.00006892307,0.00005723281,0.00003594925,0.0003266314,0.00450452],"genre_scores_gemma":[0.9598619,0.0002695482,0.03933728,0.00003368153,0.000025522,0.00002737229,0.00001502397,0.000006290147,0.0004233869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003396304,"threshold_uncertainty_score":0.006753087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1046099500214763,"score_gpt":0.3293041280550966,"score_spread":0.2246941780336203,"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."}}