Energy-Efficient Mobile Association in Heterogeneous Networks With Device-to-Device Communications

Energy-Efficient Mobile Association in Heterogeneous Networks With Device-to-Device Communications
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DOI:
10.1109/twc.2016.2555797
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发表时间:
2016-08
影响因子:
10.4
通讯作者:
Sa Xiao;Xiangwei Zhou;Daquan Feng;Yuan-Wu Yi;Geoffrey Y. Li;Wei Guo
Sa Xiao;Xiangwei Zhou;Daquan Feng;Yuan-Wu Yi;Geoffrey Y. Li;Wei Guo
中科院分区:
计算机科学1区
文献类型:
--
作者:
Sa Xiao;Xiangwei Zhou;Daquan Feng;Yuan-Wu Yi;Geoffrey Y. Li;Wei Guo

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通过设备到设备(D2D)通信,用户终端可以作为支持多跳传输的中继节点,从而使小区边缘或深度衰落的用户获得更好的连接体验。在本文中,我们研究了支持D2D的异质网络中能量高效的移动关联。我们考虑了联合接入点选择、模式切换、D2D中继节点(DRN)选择和功率控制来最大化上行链路传输的能量效率(EE),同时保证用户的服务质量要求。优化问题可以分解为三个子问题:接入点选择、功率控制、联合模式切换和DRN选择。联合模式切换和DRN选择问题是一个0-1整数优化问题,当DRN个数较大时,采用暴力搜索法可以找到最优解。为了降低计算、信道估计和反馈的复杂度,提出了一种基于距离的移动关联(DMA)算法,该算法只根据用户和DRN的位置信息进行操作。仿真结果表明,所提出的DMA算法能够很好地折中EE和复杂度。
With device-to-device (D2D) communications, a user terminal can be used as a relay node to support multi-hop transmission, so that cell-edge or deeply faded users can obtain a better connective experience. In this paper, we investigate energy-efficient mobile association in D2D-enabled heterogeneous networks. We consider joint access point selection, mode switching, D2D relay node (DRN) selection, and power control to maximize the energy efficiency (EE) of uplink transmission while guaranteeing the quality-of-service requirement of users. The optimization problem can be decomposed into three subproblems: access point selection, power control, and joint mode switching and DRN selection. The joint mode switching and DRN selection problem is a 0-1 integer optimization problem, whose optimal solution can be found by the brute-force searching method that is complexity-prohibitive when the number of DRNs is large. To reduce the complexity involved in computation, channel estimation, and feedback, we develop a distance-based mobile association (DMA) algorithm, which only operates based on the location information of users and DRNs. Simulation results demonstrate that the proposed DMA algorithm can achieve a good tradeoff between the EE and the complexity.