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In this paper, a novel selection-learning algorithm is proposed to solve multi-satellite scheduling problems, which are proved to be equivalent to maximum independent set problems. Based on prior evolutionary algorithms, a selection operator is designed to assign each individual in the group with cognitive ability, resulting in a higher tendency for an individual to select information that are useful...
As a key technology of evolved UTRA and UTRAN, hybrid ARQ with packet combining (HARQ with PC) can effectively improve the throughput performance for poor channel condition users without doing unacceptable level of harm to the system transmission efficiency or the throughput performance of good condition users. In the present study, we attempt to apply scheduling with error rate consideration as an...
Predicting wireless environment parameters as correctly and timely as possible is of practical importance to optimal resource allocation in wireless systems. For example, as the realtime wireless condition information is not available in reality due to delay, the latest historic wireless environment parameters are used to determine the users' instantaneous transmission rate in most of the existing...
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