{"id":"W2559855608","doi":"10.1109/tcomm.2016.2636289","title":"Quadrature Spatial Modulation in MIMO Cognitive Radio Systems With Imperfect Channel Estimation and Limited Feedback","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairwise error probability; Rayleigh fading; MIMO; Robustness (evolution); Channel state information; Transmitter; Cognitive radio; Electronic engineering; Antenna diversity; Quadrature amplitude modulation; Computer science; Control theory (sociology); Channel (broadcasting); Algorithm; Mathematics; Fading; Telecommunications; Bit error rate; Antenna (radio); Engineering; Wireless","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001060043,0.0002124597,0.0002120652,0.0003719371,0.0002321455,0.00004223047,0.0003850035,0.0001729816,0.000005030432],"category_scores_gemma":[0.00001819876,0.0001745503,0.00003132869,0.0004918503,0.0002303663,0.0004250679,0.000007053007,0.0003994484,0.00001713075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001750808,"about_ca_system_score_gemma":0.0000202955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007742659,"about_ca_topic_score_gemma":0.0006564442,"domain_scores_codex":[0.999061,0.0001179466,0.0003008504,0.0001965718,0.0001276638,0.0001959299],"domain_scores_gemma":[0.9979977,0.0006198549,0.00007448246,0.001155435,0.0001025324,0.00004998041],"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":[0.00009907502,0.0002254575,0.0001112212,0.0000661956,0.0001204033,0.000001194154,0.0009411947,0.705842,0.006592932,0.0005880626,0.00002255283,0.2853898],"study_design_scores_gemma":[0.001448607,0.0001247294,0.002465134,0.000685568,0.0000324717,0.00002052016,0.0005908124,0.9859667,0.007879183,0.0003340108,0.00008045953,0.0003718003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04582799,0.0006443742,0.9510696,0.0007431374,0.0000909634,0.0005801609,0.00007988502,0.0007293095,0.0002345708],"genre_scores_gemma":[0.9931042,0.002958987,0.003307525,0.000009496193,0.000006748219,0.0004991083,0.00002549175,0.00004666708,0.00004181705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9477621,"threshold_uncertainty_score":0.7117954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661749965479349,"score_gpt":0.2355508006147445,"score_spread":0.218933300959951,"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."}}