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Fairness-Aware Energy-Efficient Resource Allocation in D2D Communication Networks

机译:D2D通信网络中具有公平意识的节能资源分配

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摘要

In this paper, the energy efficiency in a cellular network with device-to-device communications is studied from user fairness perspective. A mixed-integer max-min optimization problem is formulated, in which both mode selection and resource allocation are considered. Since the optimal solution requires exhaustive search, which is NP-hard, two suboptimal methods are derived. First, a Lagrangian decomposition-based method is proposed to jointly solve subcarrier assignment and power allocation with integer constraint relaxation under different modes. To further reduce the computational complexity, a low-complexity decomposition (LCD) method is derived. A novel mode selection scheme, a subcarrier assignment scheme, a power allocation scheme, and a mode switching scheme are introduced and analyzed. The LCD method is scalable and suitable for a large number of devices and subcarriers. Simulation results demonstrate that our proposed suboptimal methods achieve satisfactory energy efficiency performance and promote the fairness among individual users.
机译:本文从用户公平的角度研究了具有设备间通信的蜂窝网络中的能效。提出了一个混合整数最大-最小优化问题,其中考虑了模式选择和资源分配。由于最优解需要穷举搜索(NP困难),因此推导了两个次优方法。首先,提出了一种基于拉格朗日分解的方法,在不同模式下以整数约束松弛的形式共同解决子载波分配和功率分配问题。为了进一步降低计算复杂度,推导了一种低复杂度分解(LCD)方法。介绍并分析了新颖的模式选择方案,子载波分配方案,功率分配方案和模式切换方案。 LCD方法是可扩展的,适用于大量设备和子载波。仿真结果表明,我们提出的次优方法达到了令人满意的能效表现,并促进了各个用户之间的公平性。

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