{"id":"W2169949302","doi":"10.1109/icc.2011.5962512","title":"A Game Theory Approach for Inter-Cell Interference Management in OFDM Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Interference (communication); Scheme (mathematics); Game theory; Orthogonal frequency-division multiplexing; Channel (broadcasting); Power (physics); Transmitter power output; Wireless; Wireless network; Reuse; Radio resource management; Cooperative game theory; Cellular network; Adaptation (eye); Computer network; Transmitter; Telecommunications; Mathematics; 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":[0.000917258,0.001043484,0.0009099044,0.0006075114,0.0006796194,0.001103904,0.001580967,0.00115799,0.001942049],"category_scores_gemma":[0.001486377,0.0003408491,0.0007853904,0.0007278607,0.00139848,0.00135951,0.0009285533,0.00158174,0.0002947592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501015,"about_ca_system_score_gemma":0.001386823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004218401,"about_ca_topic_score_gemma":0.003922933,"domain_scores_codex":[0.9991691,0.0004529004,0.00002631575,0.00007250879,0.0002060303,0.00007316213],"domain_scores_gemma":[0.9995576,0.0002878147,0.00004235921,0.00001923812,0.00006602576,0.00002712039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002929321,0.00007359216,0.0002256422,0.0001177933,0.00005198398,0.0002228186,0.0001391572,0.6442164,0.002201391,0.3301793,0.00184355,0.02069905],"study_design_scores_gemma":[0.00001023729,0.00004568101,0.00007027931,0.00001318628,0.00001139405,0.00006953708,0.00002864911,0.939036,0.000267837,0.05870543,0.0017274,0.00001438057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002644065,0.0003417885,0.9911256,0.0002273242,0.00005694171,0.0000598818,0.00002182161,0.00002128485,0.005501159],"genre_scores_gemma":[0.6776731,0.002746216,0.3069004,0.000546089,0.0003044575,0.0006789729,0.00006752428,0.00004592936,0.01103735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004218401,"threshold_uncertainty_score":0.0108906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577314231930658,"score_gpt":0.1969203754322652,"score_spread":0.1811472331129586,"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."}}