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Cross-Layer Adaptive Packet Scheduling over Fading Channel: A Decision Theoretic Approach
Abstract
Cross-layer adaptive resource allocation techniques are found to be powerful techniques for achieving high throughput and high reliability over wireless fading channels. Recently, it has been revealed in the literature that cross-layer adaptation and optimization techniques can improve the overall system level Quality of Service (QoS) performance significantly over separate single layer adaptation and optimization techniques. In this chapter, the authors discuss the novel cross-layer techniques that jointly consider the physical layer channel gain as well as the upper layer buffer occupancy and traffic information in order to find transmission rate and power policies that jointly optimize transmission power, buffer delay, and packet overflow for an application specific bit error rate. They provide a conceptual study on the cross-layer adaptation and optimization techniques, which fuels necessary motivation and direction on how to implement them in different wireless standards and devices. The authors discuss the associated system modeling, problem formulation, and solution techniques as well as show the benefits of cross-layer adaptation and optimization techniques as compared to single-layer counterpart with numerical results.
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