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The second trace is the difference between the average power estimate and the true averaged power shown in Fig. 1.
In [7], experimental results for the relationship between the average power, EVM, and ACLR for an OFDM-based system with CAF are presented.
The obtained results are explained by considering that the energy is the product between the average power and the total execution time.
The relation between the average power consumption (P in ) and the average radiated power per site is given in [26 28]: P_{in}=N_{TRX} (P_{0} + Delta_{P} P_{out}),quad 0
*Signal-to-interference-plus-noise ratio (SINR): this is a significant parameter for energy detection because it comprises the ratio between the average power of the signal and the average noise power plus interference.
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Additionally, the overall results show that there is a trade-off between running time and the average power produced during the night time.
The PAPR of a signal is defined as the ratio between the maximum and the average power of the signal over a time interval T, and is given by PAPR_{left[xright]} = frac{max_{t in left[0, T right]}|xleft tright)|^{2}}{E{|x left tright)|^{2}}}, (1).
In the current study, the superiority of the conical design over the cylindrical one in the maximum power is between 4.5% and 11.4% and in the average power is between 2.02% and 8.4%.
In Fig. 8, a comparison between the proposed algorithm and the average power allocation algorithm is illustrated.
Since (27) establishes a one-to-one mapping between y(t) and P t), the average power constraint should be considered when finding the integer solution y∗(t).
In particular, the relationship between the gait parameters in the general sinusoidal motion pattern given by (22) and the forward velocity was found in [45], and the relationship between the gait parameters and the average power consumption was found in [46].
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Justyna Jupowicz-Kozak
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