Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems
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Cites background from "Practical Non-Linear Energy Harvest..."
...This nonlinear EH model has been characterized in [34], which is a complex function of the RF power....
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Cites background or methods from "Practical Non-Linear Energy Harvest..."
...In [47], the authors have proposed a series of transformations to transform the objective function into an equivalent objective function in subtractive form, which enables the design of an efficient iterative optimal resource allocation algorithm....
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...The saturation nonlinear model is a tractable parametric model proposed in [47], and is applicable to SWIPT systems for a given pre-defined signal waveform and only based on the average received RF power P r rf ....
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...We adopt the same simulation parameters as in [47]....
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...Efficiencies e1, e2 and e3 are indeed coupled with each other due to the energy harvester nonlinearity [7], [46], [47]....
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...In contrast to the first two models, the third model is circuit-specific and obtained via curve fitting based on measured data [47]....
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References
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"Practical Non-Linear Energy Harvest..." refers background in this paper
...lvin and the processing noise. The results are simulated for 10 and 15 users in the system over 100 time slots for computing the total average harvested power. We assume the path loss model defined in [71], with a path loss exponent of 2. The multipath fading coefficients are modelled as independent and identically distributed Rician fading. The impedance of the antennas at the receivers is assumed to h...
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"Practical Non-Linear Energy Harvest..." refers methods in this paper
...blem formulation, we handle the binary constraint C1 from Problem2.4in each iteration of the algorithm. For this purpose, we apply time-sharing relaxation. In particular, by following the approach in [68], we relax the user selection variable sk(n)in constraint C1 of Problem2.2to take on real values between 0 and 1, i.e., gC1:0 s k(n)1,8n,k. The user selection variable can now be interpreted as a ti...
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2,595 citations