In this paper, we investigate a scenario of D2D-relay communications where one D2D user may help cell-edge user to exchange information for improving its quality of service (QoS). We formulate a resource allocation problem, which aims at maximizing the data rate of the cell-edge user. In particular, we propose an iterative power allocation algorithm and derive the optimal closed-form power allocation expressions by Lagrangian dual method. Simulation results verify the theoretical solution and show that our D2D-relay scheme achieves higher spectrum efficiency than the traditional cellular-relay communication scheme.

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Posted 13 Apr, 2021
On 04 Aug, 2021
Invitations sent on 10 Apr, 2021
Received 10 Apr, 2021
On 05 Apr, 2021
On 20 Mar, 2021
Posted 13 Apr, 2021
On 04 Aug, 2021
Invitations sent on 10 Apr, 2021
Received 10 Apr, 2021
On 05 Apr, 2021
On 20 Mar, 2021
In this paper, we investigate a scenario of D2D-relay communications where one D2D user may help cell-edge user to exchange information for improving its quality of service (QoS). We formulate a resource allocation problem, which aims at maximizing the data rate of the cell-edge user. In particular, we propose an iterative power allocation algorithm and derive the optimal closed-form power allocation expressions by Lagrangian dual method. Simulation results verify the theoretical solution and show that our D2D-relay scheme achieves higher spectrum efficiency than the traditional cellular-relay communication scheme.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7
The full text of this article is available to read as a PDF.
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