欢迎访问中国科学院大学学报,今天是
电子科学

面向蜂窝物联网的RB动态预分配调度方案

  • 金叶奇 ,
  • 郑敏 ,
  • 谭冲 ,
  • 刘洪
展开
  • 1. 中国科学院上海微系统与信息技术研究所, 上海 200050;
    2. 中国科学院大学, 北京 100049

收稿日期: 2018-05-24

  修回日期: 2018-07-16

  网络出版日期: 2019-11-15

基金资助

国家自然科学基金(61401445)资助

RB dynamic pre-allocation scheduling scheme for cellular Internet of Things

  • JIN Yeqi ,
  • ZHENG Min ,
  • TAN Chong ,
  • LIU Hong
Expand
  • 1. Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2018-05-24

  Revised date: 2018-07-16

  Online published: 2019-11-15

摘要

针对动态调度普遍存在的高信令开销问题,结合蜂窝物联网机器业务特点应用LTE半静态调度思想,提出一种资源块(resource block,RB)的动态预分配模型并设计相应的调度算法。利用设备缓冲区结合预分配参数代替传统授权调度,在低控制信道使用率和时延约束下,为业务动态分配RB数减少了资源浪费。仿真表明,算法降低了调度信令开销,控制信道有限下的时延满意度和业务信道利用率均优于动态和半静态调度算法。

本文引用格式

金叶奇 , 郑敏 , 谭冲 , 刘洪 . 面向蜂窝物联网的RB动态预分配调度方案[J]. 中国科学院大学学报, 2019 , 36(6) : 825 -831 . DOI: 10.7523/j.issn.2095-6134.2019.06.014

Abstract

For high signaling overhead in dynamic scheduling, the LTE semi-persistent scheduling (SPS) is improved in combination with the machine traffic characteristics of cellular Internet of Things. We proposed a dynamic pre-allocation model of resource block (RB) and designed a corresponding scheduling algorithm. By using device buffers in combination with pre-allocation parameters instead of traditional grant scheduling, dynamic allocation of RBs for packets under low control channel usage rates reduces the resource waste. Simulation results show that the algorithm reduces the signaling overhead of scheduling, and the delay satisfaction and utilization of traffic channel under the limited control channel are better compared to the dynamic and semi-persistent scheduling algorithms.

参考文献

[1] CISCO. Cisco visual networking index:global mobile data traffic forecast update 2015-2020[R]. Cisco Public Information, 2016:1-5.
[2] 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.
[3] 夏学成. NB-IOT发展概述[J]. 广东通信技术, 2017(6):6-9.
[4] Lioumpas A S, Alexiou A. Uplink scheduling for machine-to-machine communications in LTE-based cellular systems[C]//IEEE GLOBECOM Workshops. IEEE, 2011:353-357.
[5] Mostafa A, Gadallah Y. A statistical priority-based scheduling metric for M2M communications in LTE networks[J]. IEEE Access, 2017, 5:8106-8117.
[6] Kay K S, Kwee W K, Yin O S. A study of Bayesian scheduling for M2M traffic in wireless LTE network[C]//International Conference on Robotics, Automation and Sciences. 2017:1-4.
[7] 王鑫, 邱玲. H2H与M2M共存场景的准入控制及资源分配[J]. 中国科学院大学学报, 2016, 33(3):427-432.
[8] Chen T H, Chang J W, Wei H Y. Dynamic inter-channel resource allocation for massive M2M control signaling storm mitigation[C]//Vehicular Technology Conference. IEEE, 2017:1-5.
[9] Ksentini A, Hadjadj-Aoul Y, Taleb T. Cellular-based machine-to-machine:overload control[J]. Network IEEE, 2013, 26(6):54-60.
[10] Lien S Y, Chen K C. Massive access management for QoS guarantees in 3GPP machine-to-machine communications[J]. IEEE Communications Letters, 2011, 15(3):311-313.
[11] You C, Zhang Y. A radio resource scheduling scheme for periodic M2M communications in cellular networks[C]//Sixth International Conference on Wireless Communications and Signal Processing. IEEE, 2014:1-5.
[12] 白炜. LTE系统的半静态调度传输解决方案[J]. 邮电设计技术, 2010(1):45-48.
[13] Jiang D, Wang H, Malkamaki E, et al. Principle and performance of semi-persistent scheduling for VoIP in LTE system[C]//International Conference on Wireless Communications, NETWORKING and Mobile Computing. IEEE, 2007:2861-2864.
[14] 3 GPP. Evolved universal terrestrial radio access (E-UTRA); Medium Access Control (MAC) protocol specification. TS36.321 V10.8.0[S/OL].(2013-03-18)[2018-05-20].http://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=2437.
[15] Chen B, Fan Z, Cao F, et al. Class based overall priority scheduling for M2M communications over LTE networks[C]//Vehicular Technology Conference. IEEE, 2015:1-5.
[16] 邹玉龙, 丁晓进, 王全全. NB-IoT关键技术及应用前景[J]. 中兴通讯技术, 2017, 23(1):43-46.
[17] 王东升, 刘玉堂. 泊松过程在排队论中的应用[J]. 河南机电高等专科学校学报, 2007, 15(4):121-122.
文章导航

/