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The relationships between scheme performance and scheme parameters are also discussed in this article.
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So the proposed scheme achieves a good tradeoff between system performance and system feedback overhead.
The scheme, which is a tradeoff between system performance and pilot overhead, divides the users into the center user group and the edge user group according to different levels of pilot contamination based on the large-scale fading.
These schemes are as follows: Self-initialized schemes Mobility aware schemes Security-based schemes Performance and availability-based schemes.
The proposed scheme can achieve balance between the system performance and the computational complexity, further comprising (a) an ABS pattern design in Section 3 ; (b) a Pico UE grouping design in Section 4; and (c) a joint allocation scheme in Section 5.
Finally, the simulation results show that the optimal scheme outperforms all other simulated schemes and the suboptimal schemes achieve good tradeoff between secrecy performance and computational complexity.
Thus, our findings indicate the need to develop PPMS schemes allowing a direct linkage between financial performance and non-financial performance measures in order to incentivize the desired multiple strategic goals beyond periodical cost reduction.
So, the proposed scheme is a good balance between performance and complexity.
The proposed coordinated control scheme can strike a balance between the technical performance and the physical constraint.
It is also expected to achieve better tradeoff between performance and implementation costs than the one-timescale scheme and heuristic two-timescale schemes.
DF schemes are known to provide an appealing trade-off between performance and computational complexity.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com