4.7 Article

Millimeter Wave Communications for Future Mobile Networks

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSAC.2017.2719924

关键词

Millimeter wave communications; mobile networks; channel model; MIMO beamforming; multiple access; standardization

资金

  1. EU Marie Curie Project, QUICK
  2. Wireless@KTH Project
  3. Millimeter Wave Communications for Ultrareliable Low-latency Communications
  4. International Science and Technology Cooperation Program of China [2015DFG12760]
  5. National Natural Science Foundation of China [61571270, 61371105, 61422105]
  6. Australian Research Council [DP150104019]
  7. China National Thousand Talents Plan for Young Scholars
  8. Tongji University Research Initial Funds

向作者/读者索取更多资源

Millimeter wave (mmWave) communications have recently attracted large research interest, since the huge available bandwidth can potentially lead to the rates of multiple gigabit per second per user. Though mmWave can be readily used in stationary scenarios, such as indoor hotspots or backhaul, it is challenging to use mmWave in mobile networks, where the transmitting/receiving nodes may be moving, channels may have a complicated structure, and the coordination among multiple nodes is difficult. To fully exploit the high potential rates of mmWave in mobile networks, lots of technical problems must be addressed. This paper presents a comprehensive survey of mmWave communications for future mobile networks (5G and beyond). We first summarize the recent channel measurement campaigns and modeling results. Then, we discuss in detail recent progresses in multiple input multiple output transceiver design for mmWave communications. After that, we provide an overview of the solution for multiple access and backhauling, followed by the analysis of coverage and connectivity. Finally, the progresses in the standardization and deployment of mmWave for mobile networks are discussed.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据