{"id":"W1504348028","doi":"10.1002/wcm.2339","title":"Resource allocation with interference mitigation in femtocellular networks","year":2012,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Femtocell; Computer science; Benchmark (surveying); Software deployment; Telecommunications link; Computer network; Interference (communication); Resource allocation; Cellular network; Scheme (mathematics); Wireless ad hoc network; Frequency allocation; Telecommunications; Wireless; Base station","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":[0.0004947747,0.0004950346,0.0005642639,0.0003553715,0.0004010222,0.0004659425,0.000534473,0.0005304173,0.000977776],"category_scores_gemma":[0.001080463,0.0001603393,0.0001966715,0.0006082864,0.0005410814,0.0004648115,0.0005411452,0.0003087893,0.0001857103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007035717,"about_ca_system_score_gemma":0.0005322265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002907043,"about_ca_topic_score_gemma":0.002430049,"domain_scores_codex":[0.9996405,0.0001625677,0.00000961722,0.00005627751,0.00005656727,0.00007445647],"domain_scores_gemma":[0.9997298,0.0001422569,0.00004596127,0.00002473032,0.0000406989,0.00001653038],"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":[0.00006597611,0.00005211913,0.0003394448,0.00002776449,0.00002259141,0.00004074699,0.00002054135,0.9437287,0.004288017,0.009030301,0.00067531,0.04170852],"study_design_scores_gemma":[0.000007794029,0.00003058352,0.0001226895,0.000003716272,0.000006038931,0.00002042071,0.000009605405,0.9931883,0.001384605,0.004643478,0.0005788087,0.000004103222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07327697,0.0003456433,0.9199135,0.000196034,0.00003721294,0.00005894872,0.00003443259,0.0001596132,0.005977528],"genre_scores_gemma":[0.9092707,0.0001522742,0.08871906,0.00006848483,0.00002531279,0.0000516447,0.00002590744,0.00001481536,0.001671681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002907043,"threshold_uncertainty_score":0.00578022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105905293911986,"score_gpt":0.2255531001782468,"score_spread":0.214494047239127,"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."}}