{"id":"W2146745654","doi":"10.1109/jsac.2006.881628","title":"Fair Allocation of Subcarrier and Power in an OFDMA Wireless Mesh Network","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wireless mesh network; Computer science; Subcarrier; Mesh networking; Scheduling (production processes); Switched mesh; Orthogonal frequency-division multiple access; Shared mesh; Computer network; Integer programming; Mathematical optimization; Distributed computing; Wireless; Wireless network; Orthogonal frequency-division multiplexing; Algorithm; Telecommunications; Mathematics","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":[0.0002397706,0.0001499524,0.0002294457,0.0002656773,0.0001041503,0.0000348164,0.0003735806,0.0001159391,0.000009022176],"category_scores_gemma":[0.00002108098,0.0001659343,0.00002342091,0.001117698,0.00006742075,0.0003453683,0.00002576439,0.0005783502,7.655709e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001613054,"about_ca_system_score_gemma":0.00004254501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002193217,"about_ca_topic_score_gemma":0.001042459,"domain_scores_codex":[0.9987371,0.0002003784,0.0005555965,0.0001162772,0.0001499369,0.0002407102],"domain_scores_gemma":[0.9988649,0.0001962905,0.0001537277,0.0005137347,0.0002108742,0.00006045792],"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":[0.00002536013,0.0001315241,0.02957247,0.000006769789,0.00001336969,0.000001711865,0.0001895183,0.9625391,0.002328944,0.002580494,0.0002424742,0.002368219],"study_design_scores_gemma":[0.0008765783,0.00007320577,0.2073916,0.0003622007,0.00001550235,0.00002525164,0.00007844404,0.7874026,0.00104775,0.002130911,0.0002951426,0.0003008566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825051,0.0009745089,0.0151604,0.0001983649,0.0001465388,0.000199406,0.000005892844,0.00008534153,0.0007244139],"genre_scores_gemma":[0.9923187,0.002235635,0.005231163,0.00002340225,0.00007588381,0.00002822796,0.00003784927,0.00003961521,0.000009530864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1778191,"threshold_uncertainty_score":0.6766606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071535669983436,"score_gpt":0.24599905267314,"score_spread":0.2352836959733056,"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."}}