{"id":"W1994228025","doi":"10.1109/glocom.2012.6503689","title":"Optimal bit and power loading for OFDM systems with average BER and total power constraints","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; Memorial University of Newfoundland","funders":"","keywords":"Orthogonal frequency-division multiplexing; Bit error rate; Fading; Bit (key); Computer science; Power (physics); Constraint (computer-aided design); Transmitter power output; Joint (building); Throughput; Algorithm; Electronic engineering; Mathematics; Telecommunications; Engineering; Wireless; Computer network; Decoding methods; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006831012,0.001170886,0.001223427,0.0004880941,0.000514505,0.001089787,0.0008825639,0.0008992725,0.001864151],"category_scores_gemma":[0.003545964,0.0004213174,0.0002328227,0.0009366241,0.0008284608,0.001734194,0.001002107,0.0007153,0.0005521362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005450771,"about_ca_system_score_gemma":0.0007801036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006929883,"about_ca_topic_score_gemma":0.0009141114,"domain_scores_codex":[0.9992554,0.0003024366,0.00004082665,0.00008797328,0.0002016519,0.0001117093],"domain_scores_gemma":[0.9990792,0.0005539195,0.0001220264,0.00007752438,0.0001236067,0.00004365515],"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":[0.0002990985,0.0001309949,0.0005527601,0.0001316084,0.00003563628,0.0001134926,0.0001144833,0.7937063,0.01102042,0.02210388,0.002093278,0.169698],"study_design_scores_gemma":[0.00002263696,0.00004568538,0.00009410945,0.000005463365,0.000006043819,0.00004424796,0.00001181039,0.9914503,0.002074776,0.005746893,0.0004887237,0.00000940781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02526049,0.0003192421,0.9723282,0.0001465307,0.00002807572,0.00003776129,0.00003060085,0.0001801899,0.001668907],"genre_scores_gemma":[0.593895,0.000535392,0.4018341,0.0001571549,0.0001234987,0.0001772437,0.0001034145,0.0001442477,0.00303003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001864151,"threshold_uncertainty_score":0.006236255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00693378916516827,"score_gpt":0.204117028255563,"score_spread":0.1971832390903947,"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."}}