{"id":"W2950121851","doi":"10.48550/arxiv.1005.3238","title":"Power Control and Performance Analysis of Outage-Limited Cellular Network with MUD-SIC and Macro-Diversity","year":2010,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Goodput; Computer science; Network packet; Fading; Telecommunications link; Power control; Decoding methods; Single antenna interference cancellation; Computer network; Channel (broadcasting); Power (physics); Algorithm; Throughput; Telecommunications; Wireless; Physics","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":[0.001441112,0.0009932833,0.0008709622,0.0005858137,0.000450183,0.001239175,0.0007607522,0.0007936799,0.001439293],"category_scores_gemma":[0.004911426,0.0003266341,0.0003862593,0.0006932849,0.001499253,0.0008716807,0.0009990822,0.0006301209,0.0001759431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620878,"about_ca_system_score_gemma":0.0008295263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00469862,"about_ca_topic_score_gemma":0.002961992,"domain_scores_codex":[0.9991503,0.0003072865,0.00002580486,0.0001004965,0.0002407556,0.0001753132],"domain_scores_gemma":[0.9971938,0.001612989,0.0003333858,0.0001545901,0.0006227285,0.00008238362],"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":[0.00005357307,0.00001792839,0.0005937958,0.00005300152,0.00002629141,0.0001089726,0.00004629572,0.9836838,0.002109763,0.009376417,0.0002322729,0.003697771],"study_design_scores_gemma":[0.000003836064,0.00002561228,0.0002155008,0.000005128733,0.000009223614,0.00002306446,0.0000139584,0.9972656,0.0004038742,0.001954838,0.00007530145,0.00000397038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2691014,0.001592306,0.710443,0.0006647384,0.00006884148,0.00007628732,0.000207205,0.0003403572,0.01750577],"genre_scores_gemma":[0.9939703,0.0002829069,0.004815918,0.00003887913,0.00001977751,0.00002135353,0.00002626525,0.00001513248,0.0008094005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00469862,"threshold_uncertainty_score":0.01176029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179566383333715,"score_gpt":0.1381554608272196,"score_spread":0.1263597969938825,"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."}}