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

机译:支持蜂窝网络的设备间通信的分布式节能资源分配和功率控制

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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,但是由于频谱重用导致的同信道干扰,使得资源分配和功率控制变得更加棘手。在本文中,我们根据干扰限制和能源效率(EE)约束提出了一种资源分配的分组方案。基于分组方案,我们研究如何在保证蜂窝用户(CUE)和D2D用户(DUE)的服务质量(QoS)的同时,通过针对每个组的功率控制方法来最大化整个系统的EE。 EE最大化问题被表述为全局优化问题,它是非凸的,因此难以解决。为了解决这个问题,提出并分析了一种分布式迭代优化算法。仿真表明了该算法的性能。结果表明,该算法收敛速度非常快,系统的能效得到了显着提高。

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