Browsing by Subject "Time varying networks"
Now showing items 1-6 of 6
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Conference Object
Distributed stochastic power control for time-varying long-term and short-term fading wireless networks
(2007)In this paper, new time-varying wireless channel models that capture both the space and time variations of longterm and short-term fading wireless networks are developed. The proposed models are based on stochastic ...
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Conference Object
Dynamic network adaptation for real-time medical video communication
(Springer Verlag, 2016)The wider adoption of mHealth video communication systems in standard clinical practice requires adequate levels of clinical video quality to support reliable diagnosis. The latter dictates that real-time adaptation to ...
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Conference Object
A general framework for continuous time power control in time varying long term fading wireless networks
(2007)In this paper, a general framework for continuous time power control algorithm under time varying long term fading wireless channels is developed. This contrasts most of the power control algorithms introduced in the ...
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Article
Stochastic differential equations for modeling, estimation and identification of mobile-to-mobile communication channels
(2009)Mobile-to-mobile networks are characterized by node mobility that makes the propagation environment time varying and subject to fading. As a consequence, the statistical characteristics of the received signal vary continuously, ...
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Conference Object
Stochastic power control for time-varying fading wireless communication networks
(2005)The performance of stochastic optimal power control for time-varying fading channels, in which the evolution of the dynamical channel is described by stochastic differential equations, is determined. Both long-term and ...
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Article
Stochastic power control for time-varying long-term fading wireless networks
(2006)A new time-varying (TV) long-term fading (LTF) channel model which captures both the space and time variations of wireless systems is developed. The proposed TV LTF model is based on a stochastic differential equation ...