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Distributed energy-efficient resource allocation and power control for device-to-device communications underlaying cellular networks

机译:用于设备到设备通信的分布式节能资源分配和功率控制下层蜂窝网络

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Device-to-device (D2D) communications can improve the spectrum utilization of cellular networks, but makes the resource allocation and power control much more intractable due to the co-channel interference caused by spectrum reuse. In this paper, we propose a grouping scheme for resource allocation according to the interference limitations and energy efficiency (EE) constraints. Based on the grouping scheme, we study how to maximize the EE of the whole system through power control method for each group while guaranteeing the quality-of-service (QoS) of both cellular users (CUEs) and D2D users (DUEs). The EE maximization problem is formulated as a global optimization problem, which is non-convex and thus is difficult to solve. To solve it, a distributed iterative optimization algorithm is proposed and analyzed. Simulations are done to show the performance of the proposed algorithm. Results show that the proposed algorithm converges very fast and the system energy efficiency is improved significantly.
机译:设备到设备(D2D)通信可以提高蜂窝网络的频谱利用率,但由于频谱重用引起的共信道干扰,资源分配和功率控制更加棘手。在本文中,我们提出了根据干扰限制和能效(EE)约束的资源分配分组方案。基于分组方案,我们研究了如何通过每个组的功率控制方法最大化整个系统的EE,同时保证蜂窝用户(提示)和D2D用户(会费)的服务质量(QoS)。 EE最大化问题被制定为全局优化问题,这是非凸的,因此难以解决。为了解决它,提出并分析了分布式迭代优化算法。仿真完成以显示所提出的算法的性能。结果表明,该算法收敛得非常快,系统能效显着提高。

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