{"id":"W2036066243","doi":"10.1109/spawc.2014.6941326","title":"Achievable SNR and rate regions for OFDM-based asynchronous two-way relay networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Relay; Subcarrier; Transceiver; Asynchronous communication; Beamforming; Orthogonal frequency-division multiplexing; Multipath propagation; Electronic engineering; Antenna (radio); Signal-to-noise ratio (imaging); Computer network; Power (physics); Telecommunications; Engineering; Wireless","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":[0.004058119,0.001879941,0.001521272,0.00133139,0.000644141,0.002214324,0.001803112,0.001336482,0.002389782],"category_scores_gemma":[0.01403417,0.0006041348,0.0009136238,0.001050608,0.001686255,0.002384953,0.001750324,0.00145996,0.0007946339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200688,"about_ca_system_score_gemma":0.00112599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062794,"about_ca_topic_score_gemma":0.0006865957,"domain_scores_codex":[0.9979233,0.001022868,0.00008516369,0.0002266549,0.0004682775,0.000273735],"domain_scores_gemma":[0.9881642,0.009579588,0.0009699429,0.0003213943,0.0007648493,0.0002000167],"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":[0.0001826819,0.00006732546,0.000408541,0.0001920626,0.00004175822,0.0001484436,0.0002068587,0.8878373,0.00469288,0.09080339,0.0008312316,0.0145875],"study_design_scores_gemma":[0.00001924379,0.0000681925,0.0001261494,0.00003345426,0.00001255119,0.00008024794,0.00003961257,0.9677665,0.002230239,0.02901835,0.0005875196,0.00001790423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02646097,0.0006773287,0.9658321,0.0002021764,0.00001332724,0.00008734006,0.0001906209,0.0002154878,0.0063206],"genre_scores_gemma":[0.735856,0.00151855,0.2576967,0.0001628666,0.00007773699,0.0005569261,0.0003465208,0.0002301527,0.003554551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004058119,"threshold_uncertainty_score":0.02146167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755147129412512,"score_gpt":0.2690194970408597,"score_spread":0.2414680257467346,"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."}}