When Collaboration Hugs Intelligence: Content Delivery over Ultra-Dense Networks
When Collaboration Hugs Intelligence: Content Delivery over Ultra-Dense Networks
复制标题
当协作拥抱智能时：超密集网络上的内容交付
DOI：
10.1109/mcom.2017.1700481
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发表时间：
2017
影响因子：
11.2
通讯作者：
Xuelong Li
中科院分区：
文献类型：
--
作者：
Liang Zhou;Dan Wu;Zhenjiang Dong;Xuelong Li
随着流量密集型视频应用的日益普及，UDN被视为最有前途的大规模视频传输技术之一。然而，由于相邻小区之间的剧烈干扰，如何实现高能量和频谱效率仍然是一个开放和具有挑战性的问题。这项工作提出了一个系统的解决方案，内容交付UDN集成协作与智能。特别是，我们首先设计了一个混合视频编码方案，是灵活的和强大的动态无线环境。然后通过智能地减轻干扰的影响，设计了主动和主动的视频更新策略。最后，一个协同视频调度方案的开发，以最大限度地提高视频质量以及能源和频谱效率。重要的是，我们总结了三个基本的设计准则，并认为他们是有用的，以提高传输能力的UDN。
With the increasing popularity of traffic-intensive video applications, UDNs are treated as one of the most promising technologies for massive video delivery. However, due to the drastic interference between neighboring cells, how to achieve high energy and spectrum efficiency is still an open and challenging problem. This work proposes a systematic solution for content delivery over UDNs by integrating collaboration with intelligence. In particular, we first design a hybrid video coding scheme that is flexible and robust to the dynamic wireless environment. Then an active and proactive video update strategy is designed by intelligently alleviating the impact of the interference. Finally, a collaborative video scheduling scheme is developed to maximize the video quality as well as the energy and spectrum efficiency. Importantly, we summarize three fundamental design guidelines, and believe that they are useful for improving the transmission capacity of UDNs.