通信学报 ›› 2016, Vol. 37 ›› Issue (7): 1-14.doi: 10.11959/j.issn.1000-436x.2016129

• 专题:下一代移动通信及网络的关键技术 •    下一篇

面向5G通信网的D2D技术综述

钱志鸿,王雪   

  1. 吉林大学通信工程学院,吉林 长春 130012
  • 发布日期:2018-04-03
  • 基金资助:
    教育部博士点基金资助项目

Reviews of D2D technology for 5G communication networks

Zhi-hong QIAN,Xue WANG   

  1. School of Communication Engineering, Jilin University, Changchun 130012, China
  • Published:2018-04-03
  • Supported by:
    Doctoral Fund of Ministry of Education of China

摘要:

在探讨D2D对通信技术未来发展的导向作用基础上,明确了影响D2D系统设计的多个因素,即D2D设备发现、资源分配、缓存技术、D2D-MIMO。从而勾画出基于D2D技术的光纤前传和软件定义网络实现数据/控制分离的扁平化5G 架构,提出负责接入的下层宏/小基站蜂窝网和负责管理的上层网络云的管理机制。将 D2D技术、SDN技术、边缘计算和物联网技术等关键技术引入未来移动通信网络已经成为研究领域的热点,针对与之相关的、未来大规模网络的移动性、QoS和大数据特性进行了讨论。

关键词: D2D, 5G, 物联网, 边缘计算, MIMO

Abstract:

On the basis of exploring D2D's leading role to developing trend of communication technologies in the future, some issues in terms of D2D system design are illustrated, like D2D device discovery, resource allocation, caching tech-nology and D2D-MIMO. Thereupon, the outline of separate data/control flattening 5G framework based on D2D is drawn, on the basis of optical fiber fronthaul and software defined network techniques. The mechanism, the lower macro/small base stations for access whereas the upper network cloud for management, is proposed. What emerges is that still major issues shall be faced by the research community, as D2D, SDN, edge computing and IOT technologies are expected to be introduced into the future mobile communication networks. The most relevant techniques for the future large-scale net-works, such as mobility, QoS and big data behavior, are addressed in details.

Key words: D2D, 5G, IoT, edge computing, MIMO

[1] 樊自甫,杨俊蓉,万晓榆. TD-SCDMA网络中Iu-CS接口用户平面AAL2链路假活问题研究[J]. 电信科学, 2009, 25(12): 41 -45 .
[2] 张 伟,谭国真,丁 男,商 瑶. 基于邻接传感器及神经网络的车辆分类算法[J]. 通信学报, 2008, 29(11): 18 -144 .
[3] 杨德明,慕德俊,许 钟. Ad hoc空间网络密钥管理与认证方案[J]. 通信学报, 2006, 27(8): 19 -107 .
[4] 魏祥麟,陈鸣,张国敏,黄建军. NMF-NAD:基于NMF的全网络流量异常检测方法[J]. 通信学报, 2012, 33(4): 8 -61 .
[5] 李动节,朱仲杰,王玉儿. 结合视觉感知的对象基嵌入式图像编码中的码率控制方法[J]. 通信学报, 2012, 33(4): 16 -120 .
[6] 周亚强,皇甫堪. 噪扰条件下数字式多基线相位干涉仪解模糊问题[J]. 通信学报, 2005, 26(8): 3 -21 .
[7] 马 炫,刘 庆. 基于人工鱼群算法的组播树演化寻优[J]. 通信学报, 2012, 33(9): 1 -7 .
[8] 关艳峰,胡爱群. 基于优先级的IEEE 802.16中VoIP弹性接纳控制算法[J]. 通信学报, 2007, 28(10): 4 -31 .
[9] 胡海洋,李忠金,胡 华. 物联网中基于竞价与信誉度的联合式资源分配方法[J]. 通信学报, 2011, 32(9A): 36 -262 .
[10] 游 波,阎跃鹏. 802.11s路由切换分析与改进[J]. 通信学报, 2012, 33(9): 4 -30 .