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Improved fiber designs are analyzed which maximize channel capacity with foreseeable next-generation receiver technology.
Consequently, in order to maximize channel capacity of USCS and simultaneously improve transmission energy efficiency, the information-bearing waveform (i.e., g(t)) should be carefully designed.
In the uplink scenario, the restrictions apply on an individual basis to each user terminal, and the simplest solution to maximize channel capacity of mobile devices under a power constraint is the water filling (WF) criterion [5].
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Moreover, it is shown that the derived optimal vesicle size maximizes channel capacity.
This work proposes a DDCAR scheme to maximize channel utilization.
In [18], the energy allocation expression is derived to maximize the channel capacity in fading environment.
Equation (5) shows a criterion that should be satisfied to maximize the channel capacity.
The optimal cut-off SNR level, i.e., γ 0 ∗, can always be obtained in CIFR to maximize the channel capacity E { C TIFR }.
Therefore, the utilization of spectral bandwidth and the robustness to high SNR level are the keys to maximize the channel capacity.
A power allocation strategy for a hybrid overlay-underlay CRN was proposed in [7] to maximize the channel capacity of the CRN.
Furthermore, by considering block-processing of transmitted symbols with a cyclic-prefix or zero-padding, optimal training designs are provided that maximize the channel capacity lower bound when a linear minimum mean square error (LMMSE) estimator is employed.
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