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Based on graph coloring model, a lot of spectrum allocation algorithms have been studied.
Similarly, resource allocation algorithms have only been applied without any spectrum sensing information so far [27 32, 34, 35].
For a point-to-point OFDM transmission aided by a DF relay node, some resource allocation algorithms have been proposed and studied in the literature.
The capacity region of the fading MAC and the optimal resource allocation algorithms have been characterized and well studied in many pioneering works with different information assumptions [1 4].
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The performance of the proposed resource allocation algorithms has been evaluated for intra-band and inter-band CA via system level simulations.
In this context, using tools from information and queueing theories, mathematical convex programming, and stochastic approximation, a unified framework for channel- and queue-aware QoS-guaranteed cross-layer scheduling and resource allocation algorithms has been developed in this article.
A dynamic PCC resource allocation algorithm has been proposed, referred to as MW-PCC, which dynamically allocates crosstalk canceller taps so as to stabilize the dynamic arrival data of the system and to maximize the throughput region.
For the overactuated system a control allocation algorithm has been developed.
In light of the dynamic programming pattern abstracted from this system, the allocation algorithm has the potential of being extended to building other distributed merit-based expert systems.
Therefore, our proposed ACA-A-based power allocation algorithm has a desirable convergence performance and can converge within a finite number of iterations.
In the simulation, a comparison between the proposed CCDT-based DFSA algorithm and the CCT-based subchannel allocation algorithm has been adopted to evaluate the fairness performance of the algorithm.
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