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Criterion 1 defines a procedure which finally provides optimal transmitting power allocation, and consequently, the optimum LPI performance.
Searching for the maximum weight clique for each device identifies the optimal transmitting device and the optimal packet combination to be transferred.
Assuming S ∗ is the optimal transmitting covariance matrix of P B − 1, we know that the energy harvested at EH receiver can be expressed as Q ∗=g H S ∗ g+1.
Figure 1 illustrates the optimal transmitting power on one of the antennas for 100 different target impulse response realizations for various values of the norm, p: 1. p = 1, SPC: This case corresponds to the waterfilling strategy, and power is allotted in proportion to the quality of the target mode.
As shown in the previous subsection, the optimal transmitting device i ∗ is the one that maximizes (max _{i in mathcal {M}} yleft (kappa _{i}^right)), where y is the objective function of (3) and (kappa _{i}^) is the optimal packet combination obtained from Theorem 1.
Similar(55)
Figure 1 shows the optimal transmit beampatterns optimized by the proposed method in the case of ASNR = 30 dB and CNR = 30 dB.
The alternate optimization method was used to solve the optimization problem and obtain the optimal transmit powers.
We propose an optimization-based approach for deriving the optimal transmit power levels and carrier phase offsets for multiple transmitters.
Therefore, the optimization problem (6) is to seek the optimal transmit power ( {p}_i^{ast } ) and ( {p}_j^{ast } ).
To determine the optimal constellation placement of the compound signals at the receiver, we formulated an optimization problem and then numerically obtained the optimal transmit power levels and carrier phase offsets for 2 4 transmitters for M-PSK modulation.
Then the joint optimization of transmit power and transmission time can be solved with two steps: first find the optimal transmit powers as functions of the transmission time, then optimize the transmission time to minimize the EC.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com