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Resource Allocation for Full-Duplex Relay-Assisted Device-to-Device Multicarrier Systems

机译:全双工中继辅助设备到设备多载波系统的资源分配

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This letter analyzes the resource allocation problem for full-duplex relay-assisted device-to-device (D2D) multicarrier systems, where multiple D2D user groups (UGs) coexist in an underlaying manner. We formulate the optimization problem, which takes the maximization of the system throughput as an objective. Two resources, i.e., subcarrier and transmit power are considered to be appropriately allocated to UGs in order to meet the objective. The formulated problem can be independently divided into a quasi-concave problem and a mixed binary integer programming (MBIP) problem. The MBIP problem is NP-hard. Therefore, to solve this problem efficiently by standard optimization techniques, we propose an alternative algorithm, which is the linear relaxation of the MBIP problem. Then, we mathematically prove and numerically verify the equivalence of the MBIP problem and its linear relaxation. By this way, the resource allocation for UGs can be carried out by a small amount of computational overhead.
机译:这封信分析了全双工中继辅助设备到设备(D2D)多载波系统的资源分配问题,在该系统中,多个D2D用户组(UG)以底层方式共存。我们提出了以系统吞吐量最大化为目标的优化问题。为了满足该目标,认为两个资源即子载波和发射功率被适当地分配给UG。公式化的问题可以独立地分为拟凹问题和混合二进制整数规划(MBIP)问题。 MBIP问题是NP难题。因此,为了通过标准优化技术有效地解决此问题,我们提出了另一种算法,即MBIP问题的线性松弛。然后,我们在数学上证明和数值验证了MBIP问题及其线性松弛的等价性。通过这种方式,可以通过少量的计算开销来进行用于UG的资源分配。

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