{"id":"W2743271373","doi":"10.1109/isit.2017.8006696","title":"Multi-users space-time modulation with QAM division for massive uplink communications","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Computer science; MIMO; Quadrature amplitude modulation; QAM; Transmitter; Constellation diagram; Electronic engineering; Base station; Dirty paper coding; Channel (broadcasting); Real-time computing; Precoding; Telecommunications; Bit error rate; Engineering","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":[0.0005065384,0.0004919902,0.000340035,0.00020371,0.0002333531,0.0003927241,0.0004087712,0.0004194249,0.0005714646],"category_scores_gemma":[0.001154102,0.0001428978,0.0002772829,0.0003313437,0.0004702292,0.0004205624,0.0004593532,0.0004716718,0.0002259543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297504,"about_ca_system_score_gemma":0.0003977296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002838471,"about_ca_topic_score_gemma":0.0004359236,"domain_scores_codex":[0.9995834,0.0001790054,0.00001734916,0.00006889029,0.0001050658,0.0000461745],"domain_scores_gemma":[0.9996575,0.0001333902,0.00006160249,0.00007233905,0.00005837231,0.00001673551],"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":[0.0001404404,0.00008873791,0.001780387,0.0003414626,0.00006788314,0.0003535279,0.0002948669,0.5244868,0.07774977,0.217942,0.00143219,0.175322],"study_design_scores_gemma":[0.00001505557,0.0002684244,0.0003035484,0.00002861381,0.00002425604,0.0002253,0.00003950134,0.9543499,0.01031859,0.0282444,0.006166269,0.00001607469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01608899,0.0004250664,0.9812219,0.0001073153,0.00003184606,0.00002836697,0.0000166551,0.00005105164,0.002028962],"genre_scores_gemma":[0.7472798,0.0007500904,0.250179,0.0001428512,0.00008335045,0.00009773301,0.0000422684,0.00001369211,0.001411139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005714646,"threshold_uncertainty_score":0.002678871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03473920211797518,"score_gpt":0.2921401285993389,"score_spread":0.2574009264813637,"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."}}