{"id":"W2160543884","doi":"10.1109/twc.2010.101310.100587","title":"Exploiting Mobility Diversity in Sharing Wireless Access: A Game Theoretic Approach","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Nanyang Technological University; University of Manitoba","keywords":"Computer science; Computer network; Wireless; Quality of service; Channel (broadcasting); Wireless network; Reservation; Game theory; Network packet; Wireless distribution system; Wi-Fi array; Telecommunications; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001508666,0.0008235061,0.0009168189,0.0006637688,0.0009424026,0.001718831,0.002062361,0.001246734,0.001501248],"category_scores_gemma":[0.002759009,0.0004729678,0.001180978,0.0007901656,0.002396609,0.002883836,0.002117105,0.001345847,0.0002196874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138754,"about_ca_system_score_gemma":0.001361542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002611898,"about_ca_topic_score_gemma":0.002213225,"domain_scores_codex":[0.9985506,0.0007814772,0.00004787776,0.0001247475,0.0003201346,0.0001752439],"domain_scores_gemma":[0.9988206,0.0007143795,0.0001300545,0.0001005783,0.0001119704,0.0001224579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000573299,0.00009792423,0.0003500336,0.00008938648,0.00009138378,0.0002859982,0.0002873188,0.4492657,0.004476215,0.5279042,0.0009186655,0.0161759],"study_design_scores_gemma":[0.00002585254,0.00006724153,0.00006970149,0.00001153487,0.00002558471,0.0001429744,0.00004965925,0.9160482,0.0005225905,0.08104141,0.001967766,0.00002742609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01266488,0.0002479242,0.9795011,0.0005827415,0.00004455273,0.0001024093,0.00002011653,0.00003396019,0.006802362],"genre_scores_gemma":[0.8217295,0.0008608046,0.172736,0.0002250739,0.0001466633,0.0004001237,0.00002840937,0.00002945338,0.003843984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002611898,"threshold_uncertainty_score":0.01006734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03643838303487753,"score_gpt":0.2675929407062921,"score_spread":0.2311545576714146,"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."}}