{"id":"W2951246763","doi":"10.24433/co.1243952.v1","title":"On the Total Energy Efficiency of Cell-Free Massive MIMO","year":2017,"lang":"en","type":"preprint","venue":"Research Portal (Queen's University Belfast)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; University of Cambridge; Vetenskapsrådet; Queen's University; Queen's University Belfast; Royal Academy of Engineering","keywords":"Efficient energy use; MIMO; Computer science; Spectral efficiency; Telecommunications link; Beamforming; Channel state information; Power control; Backhaul (telecommunications); Transmitter power output; Energy consumption; Mathematical optimization; Computer network; Electronic engineering; Real-time computing; Power (physics); Channel (broadcasting); Wireless; Telecommunications; Base station; Mathematics; Engineering; Transmitter; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005464344,0.0003674551,0.000457901,0.0005842575,0.0004883457,0.00007134397,0.001955816,0.0004352746,0.0001894015],"category_scores_gemma":[0.0003187052,0.0003495035,0.0002323288,0.0003131522,0.0004097399,0.0001929362,0.001813696,0.001388517,0.00002936512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003881272,"about_ca_system_score_gemma":0.0003114533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060845,"about_ca_topic_score_gemma":0.00002642553,"domain_scores_codex":[0.9972278,0.0002692126,0.0003036157,0.0005619913,0.00096407,0.000673343],"domain_scores_gemma":[0.99652,0.0003990344,0.0002559092,0.002084489,0.0005359846,0.0002046091],"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":[0.0001012996,0.0001943884,0.00004880091,0.0006699053,0.0002269789,0.0005824469,0.0005181881,0.9198174,0.001176695,0.05199097,0.02441184,0.0002610494],"study_design_scores_gemma":[0.01807522,0.004413631,0.004812941,0.01371173,0.001032316,0.00008713188,0.03045804,0.5708048,0.252164,0.04751528,0.04337152,0.01355338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2077148,0.0003440786,0.1803581,0.002332577,0.002456242,0.003757876,0.001840556,0.00100457,0.6001912],"genre_scores_gemma":[0.9858273,0.0003826277,0.0005060854,0.000002858818,0.0001137015,0.000008075634,0.00009274679,0.00006993851,0.01299663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7781125,"threshold_uncertainty_score":0.9998957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547254137355672,"score_gpt":0.2469813762734906,"score_spread":0.2315088348999339,"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."}}