{"id":"W2281296963","doi":"10.1109/vtcfall.2015.7391106","title":"Radio Resource and Interference Management in Uplink Multi-Cell MU-MIMO Systems with ZF Post-Processing","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"King Saud University; Saudi Arabian Cultural Bureau","keywords":"Telecommunications link; Computer science; MIMO; Scheduling (production processes); Base station; Single antenna interference cancellation; Interference (communication); Bit error rate; Decoding methods; Multi-user MIMO; Electronic engineering; Computer network; Real-time computing; Algorithm; Engineering; Mathematical optimization; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004545206,0.0004464298,0.0004185109,0.0001710624,0.0003458828,0.0005381361,0.0004631869,0.0003342891,0.0004571802],"category_scores_gemma":[0.001416846,0.000165807,0.0001811554,0.0002633056,0.0004474647,0.0005583788,0.0003613457,0.000331508,0.0001375004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005158023,"about_ca_system_score_gemma":0.0004779056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002186808,"about_ca_topic_score_gemma":0.0034454,"domain_scores_codex":[0.999585,0.0001178495,0.00001277297,0.00006089844,0.0001317064,0.00009182945],"domain_scores_gemma":[0.9994978,0.0002581878,0.00007472053,0.00003986574,0.0001088211,0.0000206352],"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":[0.000213306,0.00009279045,0.001852392,0.0001292186,0.00004969207,0.0003061481,0.0001707194,0.8651481,0.04643446,0.009331918,0.0004337825,0.07583739],"study_design_scores_gemma":[0.00001034202,0.000212326,0.0008867887,0.000007124897,0.00002103925,0.00008365008,0.00005154309,0.981362,0.01544186,0.001335557,0.0005754411,0.00001226062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1818396,0.0007345788,0.8115824,0.0001754896,0.00004018209,0.0000529551,0.00003841885,0.0001426542,0.00539371],"genre_scores_gemma":[0.9591546,0.0002637533,0.03923893,0.00003818787,0.00003194458,0.00001983514,0.0000155323,0.000009527213,0.001227682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002186808,"threshold_uncertainty_score":0.004348218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585954141159608,"score_gpt":0.2150358550439773,"score_spread":0.1991763136323812,"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."}}