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Low-Latency Driven Energy Efficiency for D2D Communications

机译:D2D通信的低延迟驱动能效

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Low latency and energy efficiency are two important performance requirements in various fifth-generation (5G) wireless networks. In order to jointly design the two performance requirements, in this paper a new performance metric called effective energy efficiency (EEE) is defined as the ratio of the effective capacity (EC) to the total power consumption in a cellular network with underlaid device to device (D2D) communications. We aim to maximize the EEE of the D2D network subject to the D2D device power constraints and the minimum rate constraint of the cellular network. Due to the non-convexity of the problem, we propose a two-stage difference-of-two-concave (DC) function approach to solve this problem. Towards that end, we first introduce an auxiliary variable to transfer the fractional objective function into a subtractive form. We then propose a successive convex approximation (SCA) algorithm to iteratively solve the resulting non-convex problem. The convergence and the global optimality of the proposed SCA algorithm are both analyzed. The numerical results are presented to demonstrate the effectiveness of the proposed algorithm.
机译:低延迟和能源效率是各种第五代(5G)无线网络中的两个重要性能要求。为了共同设计两个性能要求,在本文中,新的性能度量称为有效能效(EEE)的性能度量被定义为具有下划线设备的蜂窝网络中的有效容量(EC)与设备的总功耗的比率(D2D)通信。我们的目标是最大化D2D网络的EEE,而D2D设备功率约束和蜂窝网络的最小速率约束。由于问题的非凸起,我们提出了一种两级差异 - 双凹(DC)功能方法来解决这个问题。朝向该结束,我们首先引入辅助变量以将分数物镜函数转移成减去形式。然后,我们提出了连续的凸近似(SCA)算法,以迭代地解决产生的非凸面问题。所提出的SCA算法的收敛性和全局最优性都分析。提出了数值结果以证明所提出的算法的有效性。

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