{"id":"W2045916406","doi":"10.1109/icc.2012.6364869","title":"Cell switch off technique combined with coordinated multi-point (CoMP) transmission for energy efficiency in beyond-LTE cellular networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cellular network; Computer science; Transmission (telecommunications); Efficient energy use; Energy consumption; Energy (signal processing); Computer network; Transmitter power output; Channel (broadcasting); Gaussian; Wireless; Electronic engineering; Telecommunications; Transmitter; Electrical engineering; Engineering; Mathematics","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":[0.0002400826,0.000272707,0.0003096093,0.000155647,0.00005697662,0.00001430068,0.0001375177,0.000193092,0.00001775657],"category_scores_gemma":[0.00000439078,0.0002318541,0.0000494427,0.0004280632,0.00001935093,0.0002515356,0.00001534921,0.0001484455,0.000001950059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182604,"about_ca_system_score_gemma":0.00001153256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003136416,"about_ca_topic_score_gemma":0.00002117197,"domain_scores_codex":[0.9987958,0.00003534927,0.0003791287,0.0001953145,0.00007711591,0.0005173094],"domain_scores_gemma":[0.9994516,0.00005898159,0.00005804573,0.0002349733,0.00006348657,0.000132906],"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":[0.00005859535,0.0001799585,0.0001656732,0.00009340175,0.00000858175,0.000002116099,0.0001701343,0.957602,0.04007195,0.0004445205,0.0001292512,0.00107382],"study_design_scores_gemma":[0.001796562,0.0001215543,0.00001257187,0.00007335496,0.00001243552,0.000003115816,0.00008296002,0.8212141,0.1758419,0.000018803,0.0005017444,0.0003209143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001217558,0.0008494217,0.9945329,0.00001245384,0.0001758755,0.001004201,0.000002205419,0.0005160395,0.00168937],"genre_scores_gemma":[0.9058836,0.00004152808,0.09316338,0.00001459971,0.00003664313,0.0003202871,0.00005287943,0.00009382619,0.0003932262],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9046661,"threshold_uncertainty_score":0.9454737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005923113387871487,"score_gpt":0.1967344006333098,"score_spread":0.1908112872454383,"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."}}