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When NC is enabled for the temporal reuse-aware schedules (CVXAware), greater capacity increases are seen than with the C -schedules, as shown in Figure 4b. Figure 4 Schedule capacity comparison of power and rate adaptive schedules.
For the rate-power adaptive schedules, significantly lower flow rate deviation occurs with the temporal reuse-aware schedules than with the unaware schedules, since the proportionally fair global utility is more accurately determined when taking the benefits of temporal reuse into account.
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In case of non-adaptively served users, there are no adaptive scheduling decisions or adaptive modulation scheme selections to be made.
Our proposed adaptive scheduling algorithms are thus significant.
The experimental results indicate that the adaptive scheduling algorithm significantly improves the balance of task assignment.
In this article, we propose a model for adaptive scheduling in multi-site companies.
In this article, an adaptive scheduling packets algorithm for the uplink traffic in WiMAX networks is proposed.
Such a channel adaptive scheduling allows for the exploitation of frequency diversity, time diversity, spatial diversity, and multi-user diversity.
Furthermore, we analyze the system delay and introduce an adaptive scheduling scheme to reduce the initial sensing delay.
Based on these solutions, we also propose two simple and low complexity adaptive scheduling algorithms that perform significantly better than other well-known scheduling algorithms.
In this subsection, we describe another adaptive scheduling algorithmb that overcomes the problem of fixed window placement of Algorithm 1. Furthermore, this algorithm is also simpler in implementation.
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