{"id":"W4220944500","doi":"10.23919/icact53585.2022.9728867","title":"Fixed–Point Arithmetic for Implementing Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"2022 24th International Conference on Advanced Communication Technology (ICACT)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"MIMO; Quantization (signal processing); Computer science; Converters; Transceiver; Decoding methods; Base station; Bit error rate; Fixed-point arithmetic; Digital signal processing; Algorithm; Power (physics); Floating point; Arithmetic; Computer hardware; Mathematics; Telecommunications; Wireless; Beamforming","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003785217,0.0002845433,0.000327531,0.0006699752,0.0005420527,0.00006959893,0.001515016,0.0001203619,0.0004118404],"category_scores_gemma":[0.0001826162,0.0003484263,0.00008801371,0.0005084342,0.00009248604,0.0002917094,0.0004187994,0.0007017173,0.00002636173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000776299,"about_ca_system_score_gemma":0.00006105881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007495914,"about_ca_topic_score_gemma":0.00001338827,"domain_scores_codex":[0.9980336,0.0001012885,0.0007031758,0.0004160247,0.0003308661,0.0004150262],"domain_scores_gemma":[0.9979235,0.0001915881,0.0003827643,0.001044209,0.0004011133,0.00005684116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007466218,0.0001147242,0.0001053057,0.00005754301,0.0001859161,0.00000400342,0.000235873,0.449881,0.01685409,0.5111514,0.001311289,0.02002421],"study_design_scores_gemma":[0.00221211,0.0003356913,0.00002117251,0.000149904,0.00003605089,0.00005773288,0.009166416,0.8479122,0.007877966,0.0233697,0.1080921,0.0007689965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009103948,0.002314481,0.9307135,0.009262423,0.003285535,0.004061032,0.0009726864,0.003447414,0.03683899],"genre_scores_gemma":[0.9756193,0.0004316952,0.01814188,0.00009556595,0.0000359806,0.003984263,0.000651992,0.00007765645,0.0009617089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9665153,"threshold_uncertainty_score":0.9998968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620809492148845,"score_gpt":0.2859911739036584,"score_spread":0.25978307898217,"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."}}