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A Joint Power and Channel Scheduling Scheme for Underlay D2D Communications in the Cellular Network

机译:蜂窝网络中底层D2D通信的联合功率和信道调度方案

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摘要

Device-to-device (D2D) communication, as one of the promising candidates for the fifth generation mobile network, can afford effective service of new mobile applications and business models. In this paper, we study the resource management strategies for D2D communication underlying the cellular networks. To cater for green communications, our design goal is to the maximize ergodic energy efficiency (EE) of all D2D links taking into account the fact that it may be tricky for the base station (BS) to receive all the real-time channel state information (CSI) while guaranteeing the stability and the power requirements for D2D links. We formulate the optimization problem which is difficult to resolve directly because of its non-convex nature. Then a novel maximum weighted ergodic energy efficiency (MWEEE) algorithm is proposed to solve the formulated optimization problem which consists of two sub-problems: the power control (PC) sub-problem which can be solved by employing convex optimization theory for both cellular user equipment (CUE) and D2D user equipment (DUE) and the channel allocation (CA) sub-problem which can be solved by obtaining the weighted allocation matrix. In particular, we shed light into the impact on EE metric of D2D communication by revealing the nonlinear power relationship between CUE and DUE and taking the QoS of CUEs into account. Furthermore, simulation results show that our proposed algorithm is superior to the existing algorithms.
机译:设备到设备(D2D)通信作为第五代移动网络的有希望的候选者之一,可以为新的移动应用程序和商业模型提供有效的服务。在本文中,我们研究了蜂窝网络下的D2D通信资源管理策略。为了迎合绿色通信的需要,我们的设计目标是考虑到基站(BS)接收所有实时信道状态信息可能很棘手的事实,从而使所有D2D链路的遍历能源效率(EE)最大化。 (CSI),同时确保D2D链接的稳定性和功率要求。我们提出了由于其非凸性而难以直接解决的优化问题。然后提出一种新的最大加权遍历能量效率(MWEEE)算法,以解决由两个子问题组成的优化问题:功率控制(PC)子问题可以通过针对两个蜂窝用户采用凸优化理论来解决。设备(CUE)和D2D用户设备(DUE)以及信道分配(CA)子问题可以通过获取加权分配矩阵来解决。特别地,我们通过揭示CUE与DUE之间的非线性功率关系并考虑CUE的QoS来揭示其对D2D通信EE指标的影响。仿真结果表明,本文提出的算法优于现有算法。

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