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In [35], the authors propose an alternative layered approach where each node has a decision engine, with no global controller.
The Master Slave method has a reduced complexity compared to the conventional approach, where each individual correlation is described.
The first way is decentralized system approach, where each robot does decision-making by utilizing a computer.
All solvers use a domain decomposition approach, where each subdomain is surrounded by a layer of ghost nodes.
This enabled total integration of all trades requiring a collaborative approach where each party maintained joint ownership of the 3D design information from inception to conception.
Hence, in this paper, we consider a game theoretic approach, where each user finds its own uplink power in a distributed fashionb.
Similar(13)
These capabilities contrast with traditional approaches where each host adheres to a predefined set of rules, and responds accordingly.
We can therefore "group together" a number of statements and execute them in one "atomic" rewrite step; this significantly improves the performance of model checking compared to standard approaches where each action is performed by a rewrite step.
Moreover, one may think on more advanced approaches where each component carrier is used independently, although both of them are used simultaneously, due to the utilization of some context information, such as position of the macro base stations.
Because the model is based on a sub-grid scale approach, it is orders of magnitude more efficient for modeling full-scale catalytic converters than conventional approaches where each channel within the catalytic monolith has to be represented by a computational grid.
Distributed virtual SINR (DV-SINR) precoding approaches, where each BS balances the ratio between signal gain at the intended user and the interference caused by other users, had been proposed for the particular case of two users in [21] and generalized for multi-user in [22].
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