A cascaded channel-power allocation for D2D underlaid cellular networks using matching theory

Yiling Yuan, Tao Yang, Yuedong Xu, Hui Feng, Bo Hu
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引用次数: 6

Abstract

We consider a device-to-device (D2D) underlaid cellular network, where each cellular channel can be shared by several D2D pairs and only one channel can be allocated to each D2D pair. We try to maximize the sum rate of D2D pairs while limiting the interference to cellular links. Due to the lack of global information in large scale networks, resource allocation is hard to be implemented in a centralized way. Therefore, we design a novel distributed resource allocation scheme which is based on local information and requires little coordination and communication between D2D pairs. Specifically, we decompose the original problem into two cascaded subproblems, namely channel allocation and power control. The cascaded structure of our scheme enables us to cope with them respectively. Then a two-stage algorithm is proposed. In the first stage, we model the channel allocation problem as a many-to-one matching with externalities and try to find a strongly swap-stable matching. In the second stage, we adopt a pricing mechanism and develop an iterative two-step algorithm to solve the power control problem.
基于匹配理论的D2D底层蜂窝网络级联信道功率分配
我们考虑了一个设备到设备(D2D)底层蜂窝网络,其中每个蜂窝信道可以由几个D2D对共享,并且每个D2D对只能分配一个信道。我们试图最大化D2D对的和速率,同时限制对蜂窝链路的干扰。在大规模网络中,由于缺乏全局信息,资源分配难以集中实施。因此,我们设计了一种新的基于局部信息的分布式资源分配方案,该方案不需要D2D对之间的协调和通信。具体来说,我们将原问题分解为两个级联子问题,即信道分配和功率控制。我们方案的级联结构使我们能够分别处理它们。然后提出了一种两阶段算法。在第一阶段,我们将信道分配问题建模为具有外部性的多对一匹配,并试图找到一个强交换稳定匹配。在第二阶段,我们采用定价机制并开发迭代两步算法来解决功率控制问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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