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Distributed Power Allocation for D2D Communications Underlaying/Overlaying OFDMA Cellular Networks

机译:用于D2D通信的分布式功率分配,覆盖/覆盖OFDMA蜂窝网络

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摘要

The implementation of device-to-device (D2D) underlaying or overlaying preexisting cellular networks has received much attention due to the potential of enhancing the total cell throughput, reducing the power consumption, and increasing the instantaneous data rate. In this paper, we propose a distributed power allocation scheme for D2D OFDMA communications and, in particular, we consider the two operating modes amenable to a distributed implementation: dedicated and reuse modes. The proposed schemes address the problem of maximizing the users’ sum rate subject to power constraints, which is known to be nonconvex and, as such, extremely difficult to be solved exactly. We propose here a fresh approach to this well-known problem, capitalizing on the fact that the power allocation problem can be modeled as a potential game. Exploiting the potential games property of converging under better response dynamics, we propose two fully distributed iterative algorithms, one for each operation mode considered, where each user updates sequentially and autonomously its power allocation. Numerical results, computed for several different user scenarios, show that the proposed methods, which converge to one of the local maxima of the objective function, exhibit performance close to the maximum achievable optimum and outperform other schemes presented in the literature.
机译:底层或覆盖现有蜂窝网络的设备到设备(D2D)的实现由于提高总小区吞吐量,降低功耗和增加瞬时数据速率的潜力而备受关注。在本文中,我们提出了一种用于D2D OFDMA通信的分布式功率分配方案,尤其是考虑了适合于分布式实现的两种工作模式:专用模式和重用模式。所提出的方案解决了在功率约束下使用户的总费用最大化的问题,这是众所周知的,因此非常难以精确解决。我们利用功率分配问题可以模型化为潜在博弈这一事实,在这里提出一种解决此众所周知问题的新方法。为了在更好的响应动态下融合潜在的游戏属性,我们提出了两种完全分布式的迭代算法,一种针对所考虑的每种操作模式,其中每个用户依次自动更新其功率分配。针对几种不同的用户场景计算的数值结果表明,所提出的方法收敛于目标函数的局部最大值之一,其性能接近于可实现的最大值,并且性能优于文献中提出的其他方案。

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