交通应急通信中信道自适应的业务接入机制

王娇; 邱恭安; 张士兵

doi:10.11959/j.issn.1000-0801.2022009

您当前的位置：

首页 >

文章列表页 >

交通应急通信中信道自适应的业务接入机制

研究与开发 | 更新时间：2024-06-05

- 交通应急通信中信道自适应的业务接入机制
- Adaptive channel status based access class barring scheme for traffic emergency communication
- 电信科学 2022年38卷第1期页码：95-101
- 作者机构：
- 作者简介：
  
  [ "王娇（1996- ），女，南通大学信息科学技术学院硕士生，主要研究方向为车联网通信" ]
  [ "邱恭安（1973- ），男，南通大学信息科学技术学院副教授、硕士生导师，主要研究方向为计算通信理论、车联网通信理论与技术等" ]
  [ "张士兵（1962- ），男，南通大学信息科学技术学院教授、博士生导师，主要研究方向为宽带数字通信、智能信号处理、认知无线电等" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022009
  中图分类号： TN929.5
- 网络出版日期：2022-01，
  
  纸质出版日期：2022-01-20
- 稿件说明：
移动端阅览
王娇, 邱恭安, 张士兵. 交通应急通信中信道自适应的业务接入机制[J]. 电信科学, 2022,38(1):95-101.

Jiao WANG, Gongan QIU, Shibing ZHANG. Adaptive channel status based access class barring scheme for traffic emergency communication[J]. Telecommunications science, 2022, 38(1): 95-101.
王娇, 邱恭安, 张士兵. 交通应急通信中信道自适应的业务接入机制[J]. 电信科学, 2022,38(1):95-101. DOI： 10.11959/j.issn.1000-0801.2022009.

Jiao WANG, Gongan QIU, Shibing ZHANG. Adaptive channel status based access class barring scheme for traffic emergency communication[J]. Telecommunications science, 2022, 38(1): 95-101. DOI： 10.11959/j.issn.1000-0801.2022009.

摘要

摘要：在高密度蜂窝车联网（cellular vehicle-to-everything，C-V2X）中，群集通信终端的有效阵列接入方法是多业务性能保障和有限频谱效率提升的前提。利用蜂窝车联网中终端计算能力，提出了信道自适应的业务接入机制。该机制由基站估计当前区域通信密度，生成通信密度关联的接入类别限制（access class barring， ACB）因子，并在通信区域内广播；随后，车载通信终端根据接收基站广播信号的信干噪比（signal to interference plus noise ratio，SINR）和ACB因子计算自适应信道状态的接入概率，并比较接入概率和ACB因子。当接入概率大于ACB因子时，通信终端以最小接入概率从前导码池中随机选择一个前导码上传到基站，以获得与信道状态匹配的接入机会。仿真结果表明，在高密度通信状态下，与S-ALOHA协议和M2M-OSA方案相比，所提方案平均接入碰撞概率降低了约5%～20%，有效地减小了平均接入时延。

Abstract

In high-density cellular vehicle-to-everything (C-V2X)

effective massive access method of cluster communications is the basis to assure the performance index for different services and enhance the spectrum efficiency under limited resource.An improved access class barring (ACB) scheme was proposed using channel status information based on computing power of communication terminal in C-V2X.The base station estimated the communication density within its cover range

generated the ACB factor using the communication density

and broadcasted the ACB.According to signal to interference plus noise ratio (SINR) and ACB factor of the received broadcast signal

the vehicular communication terminal computed the access probability

and compared with ACB factor.When the access probability was more than the ACB factor

the terminal selected a preamble randomly from the preamble pool with the probability which equal to the access probability or one.The terminal transmited the selected preamble to the base station for finishing the access program.The simulation results show that the scheme proposed has 5%～20% advantage over S-Aloha and machine to machine opportunistic splitting algorithm (M2M-OSA) schemes in average access collision probability.It reduces the average access delay effectively.

关键词

Keywords

references

KIM J , DUGUMA D G , ASTILLO P V , et al . A formally verified security scheme for inter-gNB-DU handover in 5G vehicle-to-everything [J ] . IEEE Access , 2021 ( 9 ): 119100 - 119117 .

董振江 , 古永承 , 梁健 , 等 . C-V2X 车联网关键技术与方案概述 [J ] . 电信科学 , 2020 , 36 ( 4 ): 3 - 14 .

DONG Z J , GU Y C , LIANG J , et al . Overview on key technology and solution of C-V2X for internet of vehicles [J ] . Telecommunications Science , 2020 , 36 ( 4 ): 3 - 14 .

ZHOU L J , LI Q Q , TU W . An efficient access model of massive spatiotemporal vehicle trajectory data in smart city [J ] . IEEE Access , 2020 ( 8 ): 52452 - 52465 .

TURAN A L , KOSEOGLU M , SEZER E A . Reinforcement learning based adaptive access class barring for RAN slicing [C ] // Proceedings of 2021 IEEE International Conference on Communications Workshops . Piscataway:IEEE Press , 2021 : 1 - 6 .

段红光 , 卢松品 , 王利飞 , 等 . 机器类通信中基于负载反馈的拥塞控制方法 [J ] . 电信科学 , 2016 , 32 ( 11 ): 26 - 31 .

DUAN H G , LU S P , WANG L F , et al . A congestion control method based on loading-feedback in MTC [J ] . Telecommunications Science , 2016 , 32 ( 11 ): 26 - 31 .

JANG H S , JIN H , JUNG B C , et al . Resource-optimized recursive access class barring for bursty traffic in cellular IoT networks [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 14 ): 11640 - 11654 .

EL TANAB M , HAMOUDA W . Machine-to-machine communications with massive access:congestion control [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 2 ): 3545 - 3557 .

简鑫 , 曾孝平 . 机器类通信流量建模与接入控制研究进展 [J ] . 电信科学 , 2015 , 31 ( 8 ): 133 - 145 .

JIAN X , ZENG X P . Traffic modeling and access control for machine type communications:a comprehensive survey [J ] . Telecommunications Science , 2015 , 31 ( 8 ): 133 - 145 .

KIM T , JANG H S , BANG I , et al . Access priority provisioning based on random access parallelization for prioritized cellular IoT [J ] . IEEE Access , 2021 ( 9 ): 111814 - 111822 .

FIRDAUS K F , WIBOWO S A , ANWAR K . Multiple access technique for IoT networks serving prioritized emergency applications [C ] // Proceedings of 2019 IEEE 89th Vehicular Technology Conference . Piscataway:IEEE Press , 2019 : 1 - 5 .

MIUCCIO L , PANNO D , RIOLO S . Joint control of random access and dynamic uplink resource dimensioning for massive MTC in 5G NR based on SCMA [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 6 ): 5042 - 5063 .

AL KHANSA R , ARTAIL H A , ASSAAD M , et al . A Hybrid Scheduled and group-based random access solution for massive MTC networks [J ] . Computer Networks , 2020 , 50 ( 176 ): 107253 .

杨桉楠 , 李波 , 杨懋 , 等 . 下一代 WLAN 中一种基于分组的上行 OFDMA 随机接入方法 [J ] . 西北工业大学学报 , 2020 , 38 ( 1 ): 155 - 161 .

YANG A N , LI B , YANG M , et al . Group-based uplink OFDMA random access algorithm for next-generation WLAN [J ] . Journal of Northwestern Polytechnical University , 2020 , 38 ( 1 ): 155 - 161 .

HE H L , DU Q H , SONG H B , et al . Traffic-aware ACB scheme for massive access in machine-to-machine networks [C ] // Proceedings of 2015 IEEE International Conference on Communications . Piscataway:IEEE Press , 2015 : 617 - 622 .

IDE C , DUSZA B , WIETFELD C . Client-based control of the interdependence between LTE MTC and human data traffic in vehicular environments [J ] . IEEE Transactions on Vehicular Technology , 2015 , 64 ( 5 ): 1856 - 1871 .

TELLO-OQUENDO L , VIDAL J R , PLA V , et al . Dynamic access class barring parameter tuning in LTE-A networks with massive M2M traffic [C ] // Proceedings of 2018 17th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net) . Piscataway:IEEE Press , 2018 : 1 - 8 .

浏览量

114

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

车联网中基于stacking集成学习的攻击检测模型

面向车联网的基于卷积神经网络的入侵检测模型

一种针对能耗优化的车联网计算卸载方案

5G车联网资源优化分配方案综述

基于计算控制通信融合的车联网资源协同优化技术研究