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信息与电子科学

蜂窝网络中机器类设备突发上行随机接入的优化

  • 薛滔 ,
  • 邱玲
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  • 中国科学技术大学中国科学院无线光电通信重点实验室, 合肥 230027

收稿日期: 2015-11-26

  修回日期: 2015-12-29

  网络出版日期: 2016-09-15

Access optimization for machine-type communication with bursty uplink random access in cellular networks

  • XUE Tao ,
  • QIU Ling
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  • Key Laboratory of Wireless-Optical Communications of Chinese Academy of Sciences, University of Science and Technology of China, Hefei 230027, China

Received date: 2015-11-26

  Revised date: 2015-12-29

  Online published: 2016-09-15

摘要

机器与机器通信是蜂窝网络向5G演进的主要驱动力之一,而大量机器类设备(machine-type communication device,MTCD)突发上行随机接入使得蜂窝网络面临接入拥塞的问题.为提高成功接入概率,提出将前导资源进行划分以区分新到达和阻塞的MTCD,减小MTCD数目的估计误差,并结合ACB(access class barring)策略优化发起接入的MTCD数目.仿真结果表明所提优化方案有效提高MTCD成功接入概率,降低接入时延.

本文引用格式

薛滔 , 邱玲 . 蜂窝网络中机器类设备突发上行随机接入的优化[J]. 中国科学院大学学报, 2016 , 33(5) : 669 -673 . DOI: 10.7523/j.issn.2095-6134.2016.05.014

Abstract

Machine-to-machine (M2M) communication is one of the major drivers in the cellular network evolution towards 5G system. A major problem is the access congestion since massive machine type communication devices (MTCDs) initiate random access simultaneously. To increase the access success probability we divide the preamble source and distinguish new MTCDs from backlog MTCDs to reduce the estimation error.We use ACB (access class barring) strategy to optimize the number of access attempt MTCDs. Simulation results show that the proposed optimization scheme increases the access success probability while decreases the access delay.

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