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Resource Allocation for Energy Harvesting Assisted D2D Communications Underlaying OFDMA Cellular Networks

机译:支持OFDMA蜂窝网络的能量收集辅助D2D通信的资源分配

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Device-to-Device (D2D) communications underlaying cellular communications has been explored in the literature for a while since the benefits of enhanced sum throughput and more efficient spectrum usage have been proven very promising through the activation of direct transmissions between a pair of devices. To achieve better performance in terms of energy preservation, we consider introducing energy harvesting (EH) mechanism into the traditional D2D model. Our aim is to maximize sum throughput for D2D users without compromising the QoS performance of cellular users (CUs) in an EH-aided communications model. D2D transmissions will only be activated at the beginning of a time slot if there remains enough energy, which is set as a lower threshold, for one-slot data transmission in the batteries of D2D users. Otherwise, it will switch into energy harvesting mode until the energy level in the batteries rises back to an upper threshold. The formulated optimization problem is a nonlinear mixed integer problem. Since it is mathematically challenging to get an optimal solution, we aim for a suboptimal solution with an iterative joint resource block and power resource allocation algorithm. Then we compare this heuristic algorithm with a simplified version where the constraints to make sure that every D2D user has at least one RB for communications are slighted. Numerical simulation results show that energy harvesting mechanism can efficiently power D2D communications underlaying cellular networks. They also corroborate higher sum throughput under different parameter settings of our first proposed approach.
机译:在文献中已经探索了支持蜂窝通信的设备到设备(D2D)通信一段时间,因为事实证明,通过激活一对设备之间的直接传输,增强了总和吞吐量和更有效地使用频谱的好处非常有前途。为了在节能方面取得更好的性能,我们考虑将能量收集(EH)机制引入传统的D2D模型中。我们的目标是在EH辅助通信模型中最大程度地提高D2D用户的总吞吐量,而又不损害蜂窝用户(CU)的QoS性能。如果D2D用户电池中的一时隙数据传输有足够的能量(设置为较低的阈值),则D2D传输仅在时隙开始时被激活。否则,它将切换到能量收集模式,直到电池中的能量水平恢复到上限。公式化的优化问题是非线性混合整数问题。由于获得最优解在数学上具有挑战性,因此我们针对具有迭代联合资源块和功率资源分配算法的次优解决方案。然后,我们将此启发式算法与简化版本进行比较,在简化版本中,确保每个D2D用户具有至少一个用于通信的RB的约束都被减小了。数值仿真结果表明,能量收集机制可以为蜂窝网络下的D2D通信提供有效动力。他们还证实了在我们第一个提出的方法的不同参数设置下更高的总吞吐量。

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