{"id":"W3030516277","doi":"10.1109/tvt.2020.2998405","title":"Performance of Distributed Massive MIMO and Small-Cell Systems Under Hardware and Channel Impairments","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Telecommunications link; Computer science; Channel (broadcasting); Software deployment; Multi-user MIMO; Wireless; 3G MIMO; Spectral efficiency; Distributed computing; Communications system; Computer network; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.00002881743,0.0001665072,0.0002432173,0.0001517346,0.00006651381,0.000009298589,0.00008181843,0.0002227003,0.000002351628],"category_scores_gemma":[0.000002228706,0.0001747915,0.00002625252,0.000319448,0.0000728919,0.0000845254,0.0000025722,0.0002123443,0.000004088425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004430747,"about_ca_system_score_gemma":0.000008016153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004411096,"about_ca_topic_score_gemma":0.000002191159,"domain_scores_codex":[0.9993066,0.00001409552,0.0002254662,0.0002123127,0.0000646101,0.0001768741],"domain_scores_gemma":[0.999654,0.00001479951,0.00005322187,0.000160579,0.00005353225,0.00006389543],"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":[0.00001448262,0.00002300249,0.00005935031,0.0004043661,0.00005899265,0.000005915263,0.00009079014,0.9828681,0.015815,0.00001488668,0.000008557428,0.0006365163],"study_design_scores_gemma":[0.0008315209,0.0002780535,0.00004619817,0.0001094161,0.00005944921,0.00003907835,0.0006272797,0.9002197,0.09749497,0.00001113062,0.00007021306,0.0002129598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3797532,0.0003612723,0.6190531,0.0001155517,0.0001011712,0.0002629414,0.00006083168,0.0002807889,0.00001113552],"genre_scores_gemma":[0.998745,0.0003570428,0.000752558,0.00001183535,0.000008845592,0.00007072805,0.0000085078,0.00003232794,0.00001318421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6189918,"threshold_uncertainty_score":0.7127788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008830070855974488,"score_gpt":0.1866669121661975,"score_spread":0.177836841310223,"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."}}