Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers
Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers
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DOI：
10.1109/tvt.2016.2525821
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发表时间：
2016-12-01
影响因子：
6.8
通讯作者：
Niu, Zhisheng
中科院分区：
文献类型：
--
作者：
Chang, Zheng;Gong, Jie;Niu, Zhisheng
在本文中，我们研究的资源分配和用户调度算法，以最大限度地减少能源成本的数据传输的正交频分多址（OFDMA）的背景下，协同移动的云（CMC），同时无线信息和功率传输接收器。由多个协作的移动的终端组成的CMC为下行链路内容分发和能耗（EC）降低提供了一种潜在的解决方案。以前的CMC系统设计工作主要集中在云公式或能源效率（EE）的调查，而如何分配无线资源和调度用户传输没有得到太多的关注。以系统EC最小为目标，提出了一个联合考虑子信道分配、功率分配和用户调度的优化问题。我们提出了不同的算法来解决制定的问题的基础上凸优化技术。仿真结果表明，所提出的用户调度和资源分配算法可以获得显着的EE性能。
In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of orthogonal frequency-division multiple-access (OFDMA) collaborative mobile clouds (CMCs) with simultaneous wireless information and power transfer receivers. The CMC, which consists of several collaborating mobile terminals, offers one potential solution for downlink content distribution and for energy consumption (EC) reduction. Previous work on the design of the CMC system mainly focused on cloud formulation or energy efficiency (EE) investigation, whereas how to allocate the radio resource and schedule user transmission has not gotten much attention. With the objective of minimizing system EC, an optimization problem that jointly considers subchannel assignment, power allocation, and user scheduling has been presented. We propose different algorithms to address the formulated problem based on the convex optimization technique. Simulation results demonstrate that the proposed user scheduling and resource allocation algorithms can achieve significant EE performance.