{"id":"W2912092237","doi":"10.1109/mwc.2018.1800092","title":"Layered-Division-Multiplexing for High Spectrum Efficiency and Service Flexibility in Next Generation ATSC 3.0 Broadcast System","year":2019,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Communications Research Centre Canada","funders":"","keywords":"Computer science; Backhaul (telecommunications); Multiplexing; Spectral efficiency; Scalability; Broadcasting (networking); Wireless; Wireless broadband; Flexibility (engineering); Computer network; Telecommunications; Wireless network; Beamforming","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":[0.0002532022,0.0002408102,0.0001931318,0.0003481343,0.0004539501,0.0007065127,0.000286978,0.000260085,0.001146819],"category_scores_gemma":[0.0003021012,0.00009805862,0.0001959777,0.0003336647,0.0002633764,0.0004837716,0.0004547375,0.00042118,0.0002954589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006086093,"about_ca_system_score_gemma":0.0004099282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106591,"about_ca_topic_score_gemma":0.001754463,"domain_scores_codex":[0.9998443,0.00003711194,0.000006358909,0.00001217407,0.00006143832,0.00003868693],"domain_scores_gemma":[0.9998918,0.0000343602,0.00001522426,0.00001369071,0.00003314864,0.00001176162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002800358,0.0001230979,0.002502216,0.0003465481,0.00005972191,0.0008711857,0.0004342746,0.06739657,0.4446095,0.1953781,0.006897511,0.2811013],"study_design_scores_gemma":[0.00002918068,0.0003469482,0.001917201,0.0001018695,0.00006361052,0.001364474,0.0002117366,0.8083412,0.09899703,0.04303407,0.04549265,0.00009998543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1845195,0.006292747,0.7689347,0.0008409387,0.0001900724,0.00007229647,0.0001564457,0.001076143,0.03791707],"genre_scores_gemma":[0.9263846,0.001429795,0.06922423,0.0001246357,0.00005913439,0.00003062078,0.00005421908,0.00002205877,0.002670696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001146819,"threshold_uncertainty_score":0.00441581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06196211343812099,"score_gpt":0.2661707999849288,"score_spread":0.2042086865468078,"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."}}