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PMIE has a more concrete physical interpretation when compared to SIAM because PMIE defines the I-factor as the ratio of the total received interference energy from an interferer on the receiver's channel to the total received energy from the same interferer on the interferer's channel (the maximum interference energy).
This method, which we call percentage of maximum interference energy (PMIE), has a more concrete physical interpretation that we discuss in detail in Section 4.
The maximum interference energy is defined as the interference energy that would be received by another receiver operating on channel i in the same location as the receiver on channel j.
Equation (4), introduced earlier, models the percentage of the maximum interference energy radiated on channel i and received by a receiver on channel j, where Fc,iis the center frequency of channel i and Fc,jis the center frequency of channel j.
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We take into account three optimization objectives, including the maximum interference, average interference and average path interference.
It remains to mitigate the maximum interference at two hops.
Finally, its maximum interference error and nonlinearity error are 1.6% F.S. and 0.17% F.S., respectively.
The interference degree of the whole network Λ is the maximum interference degree over all the pairings.
Since FICTC considers the interference metric as link cost, thus we can achieve the minimal of maximum interference.
Then, it estimates interference energy by averaging mixture energy in neighboring voiced intervals.
We propose a centralized algorithm with a greedy strategy that can minimize the maximum interference while satisfying the delay constraint.
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