• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Chen, Hua-Min (Chen, Hua-Min.) | Liu, Jiaxin (Liu, Jiaxin.) | Su, Haoru (Su, Haoru.) | Lin, Shaofu (Lin, Shaofu.) | Zhu, JingMing (Zhu, JingMing.) | Chen, Limin (Chen, Limin.)

收录:

EI

摘要:

Massive Machine Type Communication (mMTC) is one application scenario of 5G system to provide cellular Internet of Things (IoT) service. Some work is needed to provide efficient IoT service to meet the requirement of low power consumption and coverage extension, since IoT devices are mainly battery powered and installed in a coverage hole. Especially, the power consumption and radio resources are very essential when data packets are repeatedly transmitted to compensate the coverage gap. Considering the available energy in a real system is restricted, this paper proposes a distributed energy-restricted cluster based transmission scheme for mMTC/IoT data transmission, according to the geo-locations of IoT devices to optimize the transmission efficiency. The simulation results show that the proposed transmission scheme with a cluster size limitation can reduce the power consumption at IoT devices and improve the radio resource efficiency of the system, compared with the conventional centralized scheduling algorithm. © 2020 IEEE.

关键词:

5G mobile communication systems Electric power utilization Energy efficiency Internet of things Mobile computing Radio transmission

作者机构:

  • [ 1 ] [Chen, Hua-Min]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Liu, Jiaxin]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Su, Haoru]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 4 ] [Lin, Shaofu]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhu, JingMing]Beijing National Speed Skating, Oval Operation Co. Ltd, Beijing, China
  • [ 6 ] [Chen, Limin]Beijing National Speed Skating, Oval Operation Co. Ltd, Beijing, China

通讯作者信息:

  • [lin, shaofu]faculty of information technology, beijing university of technology, beijing, china

电子邮件地址:

查看成果更多字段

相关关键词:

来源 :

年份: 2020

页码: 1309-1313

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

归属院系:

在线人数/总访问数:1630/2970454
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司