{"id":"W4200353063","doi":"10.1109/commnet52204.2021.9641915","title":"On the Performance of NOMA-Enabled V2V Communications Under Joint Impact of Nodes Mobility and Channel Estimation Error","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fading; Nakagami distribution; Computer science; Channel (broadcasting); Bit error rate; Ergodic theory; Signal-to-noise ratio (imaging); Joint (building); Outage probability; Telecommunications; Topology (electrical circuits); Electronic engineering; Mathematics; Engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001234237,0.00008116861,0.0001446035,0.00004751355,0.00006424923,0.000006562221,0.0002750253,0.00004619103,0.00002769555],"category_scores_gemma":[0.0001219646,0.00005753349,0.00003855743,0.0002012238,0.0001797994,0.0001117758,0.0001825643,0.0001415757,0.000001772304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005161535,"about_ca_system_score_gemma":0.00001923691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001983126,"about_ca_topic_score_gemma":0.00001527837,"domain_scores_codex":[0.9995344,0.00003136373,0.000220791,0.00006746471,0.00006589223,0.00008014504],"domain_scores_gemma":[0.9982447,0.0002730951,0.00006342287,0.001309102,0.00009714491,0.00001254053],"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":[0.000005482535,0.00009153196,0.0004698153,0.00009635564,0.00005359641,4.08119e-8,0.0002255277,0.9493804,0.02742025,0.01928449,0.00003635311,0.002936181],"study_design_scores_gemma":[0.0001083743,0.00003365931,0.02603931,0.00004911034,0.000004689413,0.000001390761,0.0004890647,0.8347312,0.1347261,0.003752319,0.000001976486,0.00006289834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969748,0.0004113228,0.02816935,0.0004364968,0.000008658882,0.0001240265,0.000007861411,0.0001516419,0.0009426785],"genre_scores_gemma":[0.9901945,0.0007172886,0.009015099,0.000009336733,7.431016e-7,0.00002848767,0.000008540749,0.000009477812,0.00001655099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146492,"threshold_uncertainty_score":0.2346148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04483860001166245,"score_gpt":0.285317903469746,"score_spread":0.2404793034580835,"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."}}