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It is shown that our green dynamic BS planning scheme saves significant amount of energy.
Hence, adoption of a green dynamic BS planning scheme can save significant amount of energy by reducing redundancy and prevent significant amount of CO2 emissions.
The proposed ONU-MPP sleep period is set according to the bidirectional traffic condition monitored by optical line terminal (OLT) via green dynamic bandwidth allocation (GDBA).
It is shown that our green dynamic BS planning scheme adaptively adjusts to the current traffic load and saves significant amount of energy without violating the GoS constraints such as the probability of blocking and the coverage ratio.
Therefore, we formulate a novel nonlinear programming (NLP) model for the green dynamic BS planning (GDBP) problem to find the best possible BS topology which minimizes the energy consumption while satisfying the communication demands of the users.
By this way the ONU enters the doze mode even in the high load traffic; moreover, the green dynamic bandwidth allocation (GBA) is proposed to calculate the doze sleep duration based on the ONU queue state and incoming traffic ratio.
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The developed modeling stands on the dynamic Green's tensor, integral equations in Stieltjes space and the interfacial operators.
Dynamic Green's functions for a class of layered distributed parameter systems are derived using a new method.
In this paper, the 3D dynamic Green's functions are derived by means of the Radon transform technique.
Four boards (50 × 100 × 2400 mm), two outerwood and two corewood, were chosen from approximately 30 boards to represent high and low green density and dynamic modulus.
The dynamic Green's functions for thin rectangular plates having two opposite edges simply supported are given in terms of a rapidly converging Levy series.
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