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These models [23 25] address subset of the overall problem and are unable to characterize throughput imbalances due to location of interfering links.
For both the transmitting power and the path loss depend on the location of interfering UEs, the distribution of interference from the cells of Set-A and the cells of Set-B should be analyzed separately.
As busy time sense by a stations largely depends on number and location of interfering links around that transmitting station i, these values vary much from each other predicting the realistic nature of general wireless network.
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The location algorithm of interfering cells is shown below: First, consider the traditional BCCH frequency scanning data of this road section (scanning data table of BCCH frequency) to ensure the cells set B, coverage overlap cells set in this problem region.
Fraction of busy time sensed depends on geometric location of the interfering flows around the transmitting one.
The generalized sidelobe canceller (GSC) has been considered in this paper as it requires neither knowledge of the source PSDs nor of the location of the interfering sources.
In practice, this assumption does not hold and the relative location of the interfering links leads to different impacts of interference.
Depending on the location of the interfering source, the signal-to-interference ratio (SIR) can be significantly higher at one ear compared to the other, and a binaural system can exploit this aspect.
We devised a simplified disk model for calculating busy time sensed by a station in dense multi-hop WMN, and this model inherently embed geometrical location of all interfering transmitters and receivers around that particular station.
The following are the main contributions of our work: (i) We devised a simplified disk model for calculating busy time sensed by a station in dense multi-hop WMN, and this model inherently embed geometrical location of all interfering transmitters and receivers around that particular station.
Previous literature ignored comprehensive behavior of CSMA based MAC protocol and geometric location of the interfering links, and both these reasons cause stations to have large values of packet loss probability p. Conditional packet loss probability depends on geometric configuration of flows in the immediate neighborhood.
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