{"id":"W4309960892","doi":"10.1002/9781119875284.ch10","title":"Distributed Multi‐IRS‐assisted 6G Wireless Networks: Channel Characterization and Performance Analysis","year":2022,"lang":"en","type":"other","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Fading; Channel (broadcasting); Independent and identically distributed random variables; Computer science; Ergodic theory; Wireless; Interference (communication); Moment (physics); Topology (electrical circuits); Algorithm; Mathematics; Random variable; Computer network; Telecommunications; Statistics; Physics; Mathematical analysis; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005262468,0.0003210766,0.0004667598,0.0005536288,0.0001037761,0.00003499906,0.0004297904,0.0002902147,0.001402193],"category_scores_gemma":[0.000009883611,0.0003374671,0.0000695176,0.001229069,0.00007466471,0.00009301274,0.0002689266,0.0003890958,0.000008643335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300997,"about_ca_system_score_gemma":0.000005858695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001538018,"about_ca_topic_score_gemma":0.0001008213,"domain_scores_codex":[0.9990413,0.00002800309,0.0002666809,0.0002855964,0.0001308098,0.0002476711],"domain_scores_gemma":[0.9989368,0.00003033212,0.0001547048,0.0008127912,0.00002192531,0.00004347904],"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":[0.00003353066,0.000252099,0.01069311,0.0009931627,0.006105896,0.00001164713,0.0001922931,0.5954813,0.001509325,0.0006037065,0.0374888,0.3466352],"study_design_scores_gemma":[0.0002031982,0.00001178532,0.01045213,0.00003633223,0.0001354656,0.000001623948,0.00006227388,0.9215978,0.00008829545,0.000001109666,0.06696,0.0004499739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001447535,0.001216257,0.9828137,0.00003301583,0.0001616281,0.0003479416,0.000356473,0.005351659,0.008271752],"genre_scores_gemma":[0.8159989,0.03963953,0.003889195,0.00004416502,0.00008527507,0.0005791853,0.01679705,0.0009269182,0.1220398],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9789246,"threshold_uncertainty_score":0.9999077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145869909594937,"score_gpt":0.2114067443032285,"score_spread":0.1999480452072791,"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."}}