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If we can adopt equally spaced (equi-distant) pilot symbols with equal power for channel estimation and symbol detection, then it can be analytically shown that the channel mean-squared estimation error [1, 3] as well as the BER [7] are minimized, while the lower bound on channel capacity [8, 9] is maximized.
The struggle for equal rights and equal power for women is opposed not only by laws, institutions, and practices but also by sexual desire itself.
One of the most popular excitation methods for modal testing of rotating machinery is known to be the uncorrelated isotropic excitation, which requires two independent random sources with equal power for generation of a pair of uncorrelated excitation signals.
In this work, a new excitation method, the modulated random excitation, is proposed such that a pair of random signals with equal power for modal testing of anisotropic rotors can be effectively generated by modulating the random signal from a single random source with two harmonic carriers of a frequency with 90° phase difference.
The equal power allocation allocates equal power for each subchannel, while the proposed algorithm performs an optimal power allocation with the consideration of imperfect spectrum sensing, cross-tier interference, and QoS requirements.
It is noted that the assumption of equal power for all channels used in (23) is not true for the real signals recorded by the AVS unit, but these can be calibrated in practice [15].
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For these simulations, we assumed equal powers on all streams, and equal powers for all active users, which is likely to be set in a realistic network deployment.
It is found that the BEP performance of the two ordered best relays distributed BF with equal power allocation for AF (at high SNR) and DF (for all SNRs) schemes outperforms the BEP performance of the best ordered relay alone.
Also, we perform equal power allocation for all the algorithms.
We set P 1=P 2=10 dB and M=1 with an equal power budget for the two relays.
We assume equal power allocation for both CUEs and D2D users.
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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