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By using asymptotical analysis and introducing upper bound, we decouple the joint bit and power allocation problem into two subproblems: 1) optimizing power allocation with given bit allocation, and 2) optimizing bit allocation with optimized power allocation.
Therefore, an effective cross-layer optimization framework based on genetic algorithm is obtained, which can find optimized power control, channel allocation and route selection in polynomial time.
Let P be the (M×N) power control matrix whose element P j,n) represents the power received from BS j ∈ M at PRB n ∈ N. Given these optimized power levels P, mobile users choose the association actions that optimize their individual utilities.
An optimized power reactor (OPR1000) was used for the simulations.
Clearly and as expected, the benefit of the optimized power allocation decreases with.
The results obtained with the optimized power allocation are contrasted against uniform power allocation.
Then, solve this GP problem to get the optimized power and SINR value.
For high values of the optimized power allocation tends to become a uniform one.
Based on the analysis, optimized power allocation of the side heater is recommended.
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Therefore, the optimized power-law P is used in this article, which is expressed as the following: P={X}^{gamma } (2).
With a three-dimensional finite-difference time-domain (3D-FDTD) technique, ultralow-loss output of the optimized power-splitter with normalized transmission above 45% (in the range 3.216±0.18 dB) is obtained in the high-bandwidth range 1472 1634 nm, which covers the entire C-band of optical communication.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com