Resource Allocation and Interference Cancellation in D2D Communication PYTHON IEEE 2019-2020
Resource Allocation and Interference Cancellation in D2D Communication PYTHON PROJECT IEEE 2019-2020
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Resource Allocation and Interference Cancellation in D2D Communication PYTHON PROJECT IEEE 2019-2020
Abstract:
Device-to-Device (D2D) communication underlaying cellular networks can improve resource utilization and thus increase total throughput. However, resource allocation and interference coordination between cellular networks and D2D system will become critical and need to be properly handled. According to some papers, which just allowed a set of cellular user equipment (UE) and a pair of D2D UEs to coexist in a cellular channel, the growth of resource utilization is not sufficient. In this paper, we propose a method of radio resource allocation based on greedy algorithm and successive interference cancellation (SIC), which allows the coexistence of a cellular UE and three pairs of D2D UEs in a channel. The greedy algorithm is applied to maximize the performance of D2D links and then the SIC technique is used to cope with the interference from D2D UEs to cellular UEs. Simulation results show that the proposed method can achieve substantial gains in terms of resource utilization and total cell throughput.
#ResourceAllocation #D2DCommunication #Python_Project