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Figure 1 Cellular network model.
Section 2 introduces the relay-aided cellular network model and the downlink transmission for HD, FD, and hybrid modes.
Building on [9], a downlink relay-assisted cellular network model is proposed based on the stochastic geometry theory.
Consider the cellular network model of Figure 3 where each cell is sectorized, and each sector has a single relay station (RS) serving a single mobile station (MS).
The main contributions of this paper are summarized as follows: Building on [9], a downlink relay-assisted cellular network model is proposed based on the stochastic geometry theory.
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We show how the performance of a cellular network during and immediately after future hurricanes can be estimated based on a combination of hurricane wind field models, structural reliability analysis, Monte Carlo simulation, and cellular network models and simulation tools.
The Ginibre-Voronoi tessellation on the plane has been studied [7] and its advantage than the classical Poisson-Voronoi tessellation in the applications to cellular network modeling is reported [20].
There are many aspects needed to be researched in the future, such as the cellular network modeling with dense and irregular deployments, the influence of separated CP&UP on system energy efficiency (EE), and so on.
In fact, it does not reduce to a classical downlink of a cellular network modeled as a broadcast channel since there are several APs transmitting information simultaneously to the same MT. Nor does it reduce to independent multiple access channels when considering each mobile as a receiver because of the power constraints at the APs.
As mentioned earlier, the matrix S in cellular network models often does not have a full column rank.
In [8], a fractional-order cellular neural network model was firstly proposed by Arena et al., and chaotic behavior in noninteger-order cellular neural networks was discussed in [9].
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