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With non-zero circuit powers in all the transmit, receive and idle modes, there exists a non-zero optimal spectral efficiency that maximizes the maximal energy efficiency.
The former optimized the achievable goodput over a specific unicast link, while the latter achieved maximal energy efficiency.
The gain of the maximal energy efficiency of TWRT over that of OWRT, considering unequal circuit power consumptions at each node.
The maximal energy efficiency U h * for a given channel coefficient h is achieved with the optimal rate and power allocation P T * ( h ) : U h * = R P T * ( h ), h P T * ( h ) + P C and P T * ( h ) = argmax P T R P T, h P T + P C. (2).
It can be seen from the previous section that in the case that the transmission of one SU is interrupted, the optimal spectrum handoff and power allocation problem can be solved through designing the optimal transmit power strategy and then selecting the optimal subchannel, which offers the maximal energy efficiency.
EPEC and EHEC must control virulence gene expression during infection aiming for maximal energy efficiency.
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We first found the maximal energy efficiencies of three strategies by jointly optimizing the bidirectional transmission time and the transmit power.
We then compared their maximal energy efficiencies with either zero or non-zero circuit power consumptions, and reveal the mechanisms to improve the energy efficiency of the three transmission strategies under different scenarios.
The maximal expected energy efficiency with this link adaptation controller is obtained through a joint maximization over P T and α: Ũ h ̃ * = max P T, α Ũ h ̃ P T, α (11).
and the maximal expected energy efficiency with a given h ̃ is given by, Ũ h ̃ * = Ũ h ̃ P T *, R *. (6).
Fig. 5 System energy efficiency v.s. maximal CC that a single user can occupy simultaneously.
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