"1"^^ . . "Ku\u010Dera, \u0160t\u011Bp\u00E1n" . "Yoshida, S." . "This paper analyzes distributed asynchronous power and rate control for wireless ad hoc networks. Importantly, all network transmitters are considered to be independent of any management infrastructure and to have the freedom to choose their own arbitrary control rules, using as input only information on local interference and achieved carrier signal-to-interference ratio (CIR). Such an approach respects diverse user preferences of on quality of service (QoS) and allows them to adapt to local network conditions in contrast with conventional cellular systems, whose users must follow centralized control commands from serving base stations. For this purpose, we develop a general non-cooperative game-theoretic framework and characterize the resulting power and rate allocation dynamics in terms of its convergence to network-wide acceptable equilibrium states under stochastic communication channels." . . "Asynchronous distributed power and rate control in ad hoc networks: A game-theoretic approach" . . "13"^^ . . "Asynchronous distributed power and rate control in ad hoc networks: A game-theoretic approach"@en . "RIV/67985882:_____/08:00309095" . "7" . . . "power control"@en . "Asynchronous distributed power and rate control in ad hoc networks: A game-theoretic approach" . . "Asynchronous distributed power and rate control in ad hoc networks: A game-theoretic approach"@en . . "357215" . "Aissa, S." . . . "US - Spojen\u00E9 st\u00E1ty americk\u00E9" . . "7" . "1536-1276" . . . . "000259366900020" . . "RIV/67985882:_____/08:00309095!RIV10-AV0-67985882" . "IEEE Transactions on Wireless Communications" . "P(GA102/05/0852), Z(AV0Z20670512)" . "4"^^ . "This paper analyzes distributed asynchronous power and rate control for wireless ad hoc networks. Importantly, all network transmitters are considered to be independent of any management infrastructure and to have the freedom to choose their own arbitrary control rules, using as input only information on local interference and achieved carrier signal-to-interference ratio (CIR). Such an approach respects diverse user preferences of on quality of service (QoS) and allows them to adapt to local network conditions in contrast with conventional cellular systems, whose users must follow centralized control commands from serving base stations. For this purpose, we develop a general non-cooperative game-theoretic framework and characterize the resulting power and rate allocation dynamics in terms of its convergence to network-wide acceptable equilibrium states under stochastic communication channels."@en . "[9CC97317A9D6]" . "Yamamoto, K." .