{"id":"W2088397325","doi":"10.1109/jsac.2012.120214","title":"Joint Zero-Forcing Based Precoder Design for QoS-Aware Power Allocation in MIMO Cooperative Cellular Network","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Base station; Transmitter power output; MIMO; Computer network; Quality of service; Relay; RSS; Enhanced Data Rates for GSM Evolution; Cellular network; Transmission (telecommunications); Interference (communication); Real-time computing; Power (physics); Channel (broadcasting); Telecommunications; Transmitter","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":[0.0005899629,0.0005905309,0.000520489,0.0001896424,0.0002213007,0.0005228583,0.0005312306,0.000651815,0.0006288622],"category_scores_gemma":[0.001791634,0.0002722774,0.0002530473,0.0003397535,0.0005871374,0.0003684349,0.0004434786,0.0003678898,0.0001960764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000427176,"about_ca_system_score_gemma":0.0007831275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001853632,"about_ca_topic_score_gemma":0.002167785,"domain_scores_codex":[0.9996006,0.0001599616,0.0000157652,0.00006046438,0.0001111637,0.0000521328],"domain_scores_gemma":[0.9993033,0.000410201,0.0000802084,0.000043222,0.0001432678,0.00001971127],"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":[0.00008648637,0.00003921461,0.0005921182,0.00009140733,0.00003549377,0.00009572155,0.0001214856,0.9446899,0.0147187,0.008593495,0.0005112792,0.03042473],"study_design_scores_gemma":[0.00001122507,0.00005481759,0.0000882539,0.000004681087,0.000007404652,0.00002292666,0.000008691345,0.9969512,0.00124476,0.001416669,0.0001843234,0.000005076632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02381252,0.0001596472,0.9748501,0.00007901745,0.00001749936,0.00002358169,0.00001945925,0.00005550296,0.0009828532],"genre_scores_gemma":[0.8870112,0.0003794304,0.1108875,0.00008647967,0.00004639526,0.000137054,0.00005032014,0.00001511607,0.001386484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001853632,"threshold_uncertainty_score":0.003685713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09895340924816749,"score_gpt":0.3111637100563262,"score_spread":0.2122103008081587,"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."}}