Sentence examples for A suboptimal strategy from inspiring English sources

A suboptimal strategy of the DPC [7], the Tomlinson-Harashima precoding (THP) algorithm which is based on nonlinear modulo operations, is still impractical due to its high complexity.

We first consider the (centralized) ML estimate and then we propose to use a suboptimal strategy based on local distance estimate at each node.

curve represents the case of PF scheduler with the 2 CSGs on orthogonal bands, where it can be seen that just orthogonalizing the band between the 2 CSGs and running a PF scheduler is a suboptimal strategy.OSG2 CSGs Figure 7 Geometric mean throughput distributions in the scenario with 96 UEs and 32 BSs.

Using microarray data from whole tumors to select specific miRNAs for functional study may be a suboptimal strategy.

In conclusion, the present data and simulations do not indicate so much that, by disregarding vestibular and proprioceptive information, the visual system uses a suboptimal strategy for estimating surface slant from the self-generated optic flow.

The highest reduction from treating the working population is 31% and remains a suboptimal strategy for any stockpile size.

We follow, however, a different suboptimal strategy described in Section 4.3, which also allows a significant reduction in inter-node communication cost.

This does not, however, guarantee that the end-to-end capacity is reached as the relays are performing a strictly suboptimal strategy (decode-and-forward for the shared and one-way relays, amplify-and-forward for the two-way relay).

To address the above issues, we propose a low-complexity suboptimal strategy, as shown in subchannel and power allocation strategy (SPAS), which breaks the interdependence between power allocation and subchannel assignment.

Environments where agents may behave randomly, or using some other suboptimal strategy such as a human strategy, are being developed using opponent modeling [36 38].

In such nonlinear cases a suboptimal MPC strategy is typically used in which the nonlinear model is successively linearised on-line for the current operating point and, thanks to linearisation, the control policy is calculated from a quadratic programming problem.