{"id":"W2082085686","doi":"10.1109/tsp.2013.2284753","title":"Joint User Grouping and Transceiver Design in a MIMO Interfering Broadcast Channel","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; MIMO; Precoding; Beamforming; Base station; Transceiver; Channel (broadcasting); Throughput; Multi-user MIMO; Decoding methods; Convergence (economics); Interference (communication); Minimum mean square error; Computer network; Algorithm; Mathematical optimization; Wireless; Telecommunications; 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":[0.001242523,0.0008721515,0.000926391,0.0003510671,0.0004268129,0.0008798682,0.001247476,0.0009533683,0.0009954514],"category_scores_gemma":[0.001976195,0.0004824946,0.000488785,0.0006753809,0.0008076594,0.0007191755,0.0009105344,0.0005958783,0.0005415198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515274,"about_ca_system_score_gemma":0.0009490801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114056,"about_ca_topic_score_gemma":0.001369545,"domain_scores_codex":[0.9988011,0.0005181452,0.0000406013,0.0001904723,0.0002911483,0.0001585519],"domain_scores_gemma":[0.9993111,0.0002727264,0.0001188722,0.00008448573,0.0001661459,0.00004665594],"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":[0.0001119868,0.00005672829,0.0005954524,0.0000694093,0.00004056594,0.0001466777,0.0001651345,0.9331676,0.01278788,0.01267434,0.0005298625,0.03965431],"study_design_scores_gemma":[0.00001712106,0.0001079833,0.0000865378,0.000003439281,0.00001439165,0.00004973302,0.00002571846,0.9931265,0.003406473,0.002779116,0.0003746117,0.00000835846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01289075,0.00005003873,0.985741,0.00004946869,0.00001059289,0.00002875171,0.00001314757,0.0001116004,0.00110466],"genre_scores_gemma":[0.6546003,0.0001746866,0.3419657,0.0001252058,0.00004867591,0.0002189945,0.0000656743,0.00005174798,0.002748986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001247476,"threshold_uncertainty_score":0.006571174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301412508688075,"score_gpt":0.2169857228751527,"score_spread":0.1939715977882719,"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."}}