{"id":"W2259388047","doi":"10.1109/wcnc.2015.7127570","title":"Joint adaptive spatial modulation and power adaptation for spectrum sharing systems with limited feedback","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Link adaptation; Spectral efficiency; Throughput; Modulation (music); Transmitter; Efficient energy use; Bit error rate; Transmission (telecommunications); Interference (communication); Electronic engineering; Power (physics); Adaptation (eye); Telecommunications; Wireless; Fading; Decoding methods; Engineering; Electrical engineering; Physics; Optics","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":[0.0008844748,0.0004452501,0.0003830922,0.0002258132,0.0003121887,0.0003964941,0.0005736429,0.0004140549,0.0007754989],"category_scores_gemma":[0.002307153,0.0001806806,0.0002616928,0.0003854925,0.0006524766,0.0005675212,0.0004502604,0.0004488557,0.000134542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004009326,"about_ca_system_score_gemma":0.0004086966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009417417,"about_ca_topic_score_gemma":0.001513531,"domain_scores_codex":[0.9994748,0.0001951192,0.00002343847,0.00006415062,0.0001839827,0.00005851797],"domain_scores_gemma":[0.9991232,0.0005258625,0.0001273406,0.00007980088,0.0001224929,0.00002147152],"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":[0.0003916452,0.0001447859,0.001508758,0.0002450868,0.00009955343,0.0004627107,0.0002992492,0.7480347,0.04606236,0.04331968,0.0009155911,0.1585159],"study_design_scores_gemma":[0.00001985678,0.0001330922,0.0003029251,0.000008034433,0.00001456944,0.00009373565,0.00001164737,0.9908026,0.002491297,0.005438407,0.0006741258,0.00000955276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08080934,0.0008712249,0.9147617,0.0002004986,0.00005355715,0.00005024195,0.00001864739,0.0001329316,0.003101821],"genre_scores_gemma":[0.9739268,0.0002541244,0.02492945,0.00004762263,0.00004023506,0.0000354594,0.000008065788,0.000004843843,0.0007534281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009417417,"threshold_uncertainty_score":0.004677594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05094730305273915,"score_gpt":0.2244676642545984,"score_spread":0.1735203612018592,"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."}}