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We investigate flow rate optimization on a wireless link with randomly varying channel gain using techniques from adaptive modulation and network utility maximization. We consider the problem of choosing the data flow rate to optimally trade off average transmit power and the average utility of the smoothed data flow rate. The smoothing allows us to model the demands of an application that can tolerate...
We present a cross layer technique to find and characterize optimal control policies for wireless networks operating at different time scales at the upper layer and physical layer. The technique can also be directly applied to networks carrying traffic with different time dependencies such as data or video. Our approach combines network utility maximization and adaptive modulation over an infinite...
We present a cross-layer framework for optimizing the performance of wireless networks as measured by applications or upper layer protocols. The approach combines adaptive modulation with network utility maximization. We extend the approach to find optimal source rates and transmitter power and rate policies without explicit knowledge of the distribution of channel states. These optimal power and...
We investigate adaptive modulation using the network utility maximization framework. We derive new crosslayer optimal power and rate adaptation policies for several practical modulation schemes. The behavior of these crosslayer policies is found to differ from policies based on physical-layer optimization only. The multiple flow single link case is analyzed and optimal power and rate policies found...
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