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In this approach, regulators partition spectrum rights across the dimensions of space, time, frequency, and direction of propagation.
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By knowing the ILCA, the area of influence of the femtoBS is known and then the decision of whether to use the shared or partitioned spectrum is made based on an area size threshold.
Therefore, we only exemplified the partitioning spectrum of EW36 due to its highest heritability.
To minimize the interference, the spectrum is divided into the shared and partitioned spectrums.
The other is the spectrum partitioning problem that handles how much spectrum should be allocated for the shared and partitioned spectrums, respectively.
Before doing this, we analytically drive the optimal spectrum partitioning ratio ν p * as a function of the number of femtocells which use partitioned spectrum, | K p |.
We can partition the spectrum into multiple subregions and then process each of the subregions in parallel.
For instance, for TM1112, we partition the spectrum into 6 subregions, and the run of SAMC takes only a few hours for each subregion.
Current 802.11 infrastructure networks are frequency planned with static partitioning of spectrum.
802.11 networks are frequency planned systems, which result in inefficiencies from static partitioning of spectrum.
This approach of removing or partitioning the spectrum has also been used by Chao and coworkers [described in Chao and Bunge (2002)], where a suitable cutoff is determined by recalculating the goodness of fit to the observed data.
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