{"id":"W2151444885","doi":"10.1109/infcom.2011.5935083","title":"Multicell coordination via joint scheduling, beamforming and power spectrum adaptation","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Computer science; Base station; Transmitter power output; Scheduling (production processes); Cellular network; Spectral efficiency; Computer network; Multiplexing; Transmission (telecommunications); Wireless network; Interference (communication); Schedule; Wireless; Telecommunications; Engineering; Transmitter; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007941556,0.0001016081,0.00009192381,0.00008973573,0.00003962629,0.00001336529,0.00002896081,0.00005383464,0.00008561915],"category_scores_gemma":[0.00001746391,0.0001040012,0.00001386528,0.00009628086,0.00001182721,0.0003877225,0.00001195417,0.00006205884,0.00002706674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004871282,"about_ca_system_score_gemma":0.00000331368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004729865,"about_ca_topic_score_gemma":0.0000416228,"domain_scores_codex":[0.9994976,0.000006962724,0.000187366,0.000116536,0.00005742121,0.0001341154],"domain_scores_gemma":[0.9997835,0.000009284902,0.00003751544,0.00009553485,0.00002969093,0.00004454557],"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":[0.00001185875,0.0000364809,0.0003332948,0.0001090379,0.00003967454,0.000003519136,0.005527587,0.9455851,0.03529436,0.006602228,0.00003247025,0.006424412],"study_design_scores_gemma":[0.000207155,0.00002581532,0.0002503567,0.00001907545,0.000007644058,0.000005319173,0.0004384517,0.9755944,0.02287355,0.0003263495,0.0001043444,0.0001475299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02901276,0.00009433347,0.9585654,0.000007126035,0.0002089692,0.0001828684,6.7039e-7,0.0003216635,0.01160625],"genre_scores_gemma":[0.8223891,0.00001096511,0.1773561,0.000007900445,0.00001951924,0.00000846904,0.000005977369,0.00002402903,0.0001780126],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7933763,"threshold_uncertainty_score":0.4241047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771977866548604,"score_gpt":0.1978417999431758,"score_spread":0.1801220212776898,"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."}}