{"id":"W2951830991","doi":"10.48550/arxiv.1312.2681","title":"Degrees of Freedom of MIMO Cellular Networks: Decomposition and Linear Beamforming Design","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; MIMO; Degrees of freedom (physics and chemistry); Cellular network; Interference (communication); Spectral efficiency; Computer science; Topology (electrical circuits); Set (abstract data type); Base station; Focus (optics); Mathematics; Mathematical optimization; Algorithm; Control theory (sociology); Telecommunications; Combinatorics; Physics; Artificial intelligence","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":[0.0009157991,0.0009638737,0.0004939342,0.0004228794,0.0002430896,0.0009587416,0.0004502257,0.0006208186,0.001188021],"category_scores_gemma":[0.002414997,0.0003731291,0.0004419947,0.0006350248,0.001054576,0.00108413,0.0008355914,0.0008322008,0.0003244111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006852915,"about_ca_system_score_gemma":0.0005204438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008111846,"about_ca_topic_score_gemma":0.0007025416,"domain_scores_codex":[0.9992357,0.0003657008,0.00002144742,0.00008274905,0.0002054373,0.000088883],"domain_scores_gemma":[0.9990017,0.000572491,0.0001182752,0.0001105321,0.0001460456,0.00005107132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007025784,0.00003750932,0.0006684703,0.00009752272,0.0000240584,0.00007320305,0.00008263064,0.7148319,0.008656875,0.2371041,0.001092514,0.03726088],"study_design_scores_gemma":[0.000007320346,0.0000629036,0.0002161574,0.00002093115,0.000005558737,0.00004555907,0.00003008331,0.9370394,0.001319977,0.06010662,0.001133115,0.00001242723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01254408,0.0004020819,0.9823647,0.0001791953,0.00002235943,0.00001885379,0.00004840911,0.00003123406,0.004389187],"genre_scores_gemma":[0.8147103,0.002033415,0.1791318,0.0001956659,0.0001643337,0.0002128165,0.0001680718,0.00003916948,0.003344468],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001188021,"threshold_uncertainty_score":0.00497216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03696294578083208,"score_gpt":0.1734510397657999,"score_spread":0.1364880939849678,"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."}}