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SCIENTIA SINICA Informationis, Volume 47, Issue 5: 544(2017) https://doi.org/10.1360/N112017-00042

Agile coverage and control for hyper-cellular networks

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  • ReceivedFeb 15, 2017
  • AcceptedMar 23, 2017
  • PublishedMay 9, 2017

Abstract

Hyper-cellular network (HCN) architecture was proposed based on the separation of traffic and control coverage. In this paper, we mainly focus on the decoupling structure for traffic and control coverage. We also provide the decoupling principle with accompanying conditions and examples. With this knowledge, we discuss two key problems in the control process. For channel estimation under partial measurement, based on channel correlation between the spatial and time domain, we propose two channel prediction methods. One method is using traffic base-stations (BSs) to periodically measure channels and make decisions. The other is online and offline learning-based channel prediction. As for the massive connectivity problems in control coverage, sparse coding multiple access is adopted as a grant-free access method to support massive connectivity, low latency, and high reliability for control coverage.


Funded by

国家重点基础研究发展计划(973)(2012CB316002)

港澳台科技合作专项项目(2014DFT10320)

国家高技术研mbox究发展计划(863)(2015AA016202)

清华大学自主科研项目(2016ZH02-3)

国家科技重大专项项目(mbox2015ZX03001031-002)

华为公司创新研究计划

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