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We consider a novel power allocation scheme for a frequency-selective fading channel with two coordinated transmission points (CTP) transmission. In order to maximize the channel's throughput, closed form solutions are obtained by solving a non-convex constrained optimization problem. The solution which we name it joint water-filling (Jo-WF) turns out to take the form of traditional WF and also combined...
We propose a resource allocation algorithm that provides enhanced QoS and efficiency for layered video multicast over mobile WiMAX. The application is characterized by groups of users acquiring popular video programs over a fading channel. To accommodate various bandwidth requirements and adaptive perceptual quality to different users, video streams are coded into base and enhancement layers using...
MIMO multi-hop channel plays an important role in wireless ad hoc networks. In this paper, we investigate the resource allocation optimization problem in order to achieve throughput maximization with given resource constraints. We propose algorithms with low complexity to achieve maximum capacity. The main idea is to determine the rank of the optimal transmit covariance matrix and the optimal power...
We consider the problem of rate and power allocation in a fading multiple-access channel. Our objective is to obtain rate and power allocation policies that maximize a utility function defined over average transmission rates. In contrast with the literature, which focuses on the linear case, we present results for general concave utility functions. We consider two cases. In the first case, we assume...
We consider the problem of rate allocation in a fading Gaussian multiple-access channel (MAC) with fixed transmission powers. Our goal is to maximize a general concave utility function of transmission rates over the throughput capacity region. In contrast to earlier works in this context that propose solutions where a potentially complex optimization problem must be solved in every decision instant,...
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