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Assuming that there are N available orthogonal frequency resource blocks (RB) in one cell, the BS allocates resources to N cellular users with the traditional algorithm.
Fig. 6 System sum rate as a function of the number of cellular users with 8 D2D pairs Fig. 7 System sum rate as a function of the number of D2D pairs with 8 cellular users.
First, it is necessary to measure the rate loss of cellular users, which can be expressed as the difference between the rate of cellular users with or without the interference caused by D2D users under the same transmit power constraint.
Next, to demonstrate the impact of the positions of the relays in the scenario with interference, the system sum rate is shown by varying the positions of cellular users with 4 cellular users and 8 D2D pairs in Fig. 9.
The QoS parameter ε ∈ (0,1] determines the priority of home users relative to cellular users with ε = 1 ensuring identical required minimum throughput to home and cellular users. In Equation (29), increasing ε reduces η∗ and allocates more time-slots to cellular users.
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Based on the proposed framework, the strategy of each D2D link or a relay is to select a cellular user with which the spectral resource is shared.
In this figure, we consider that the D2D communication takes place in the middle region of the cell and is not far away from the cellular user with d cr =4, d b1=5, and d b2=6.
However, there is no work in literature showing the impact of high number of antennas and cellular users along with the density of D2D users in such a setting.
Fig. 4 System sum rate as a function of the number of cellular users comparing with OP Fig. 5 System sum rate as a function of the number of D2D pairs comparing with OP.
D2D communications allow proximate cellular users to communicate with each other directly under the control of base station (BS) with lower transmit power requirements.
In particular, closed access provides higher throughput for home users and lower throughput for neighboring cellular users; vice versa with open access.
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