...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computer networks >Adaptive access class barring for efficient mMTC
【24h】

Adaptive access class barring for efficient mMTC

机译：自适应访问类别限制以实现高效的mMTC

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In massive machine-type communications (mMTC), an immense number of wireless devices communicate autonomously to provide users with ubiquitous access to information and services. The current 4G LTE-A cellular system and its Internet of Things (IoT) implementation, the narrowband IoT (NB-IoT), present appealing options for the interconnection of these wireless devices. However, severe congestion may arise whenever a massive number of highly-synchronized access requests occur. Consequently, access control schemes, such as the access class barring (ACB), have become a major research topic. In the latter, the precise selection of the barring parameters in a real-time fashion is needed to maximize performance, but is hindered by numerous characteristics and limitations of the current cellular systems. In this paper, we present a novel ACB configuration (ACBC) scheme that can be directly implemented at the cellular base stations. In our ACBC scheme, we calculate the ratio of idle to total available resources, which then serves as the input to an adaptive filtering algorithm. The main objective of the latter is to enhance the selection of the barring parameters by reducing the effect of the inherent randomness of the system. Results show that our ACBC scheme greatly enhances the performance of the system during periods of high congestion. In addition, the increase in the access delay during periods of light traffic load is minimal. (C) 2018 Elsevier B.V. All rights reserved.
机译：在大规模机器类型通信（mMTC）中，大量的无线设备自动进行通信，以为用户提供对信息和服务的普遍访问。当前的4G LTE-A蜂窝系统及其物联网（IoT）实施，即窄带IoT（NB-IoT），为这些无线设备的互连提供了诱人的选择。但是，每当发生大量高度同步的访问请求时，就会出现严重的拥塞。因此，诸如访问类别禁止（ACB）之类的访问控制方案已经成为主要的研究课题。在后者中，需要以实时方式精确选择限制参数以最大化性能，但是受到当前蜂窝系统的众多特性和局限性的阻碍。在本文中，我们提出了一种新颖的ACB配置（ACBC）方案，该方案可以直接在蜂窝基站上实现。在我们的ACBC方案中，我们计算空闲与总可用资源的比率，然后将其用作自适应过滤算法的输入。后者的主要目的是通过减少系统固有随机性的影响来增强限制参数的选择。结果表明，我们的ACBC方案在高拥塞期间极大地提高了系统的性能。此外，在轻载期间，访问延迟的增加是最小的。 （C）2018 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号