面向港口堆场MANET的便携高精度信道测量与建模

梁家耀; 张广驰; 水宜水; 崔苗; 李芳; 熊富

doi:10.12052/gdutxb.230159

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

面向港口堆场MANET的便携高精度信道测量与建模

信息与通信工程 | 更新时间：2026-05-27

- 面向港口堆场MANET的便携高精度信道测量与建模
- Portable and High Precision Channel Measurement and Modeling for MANET in Port Yards
- 广东工业大学学报 2024年41卷第6期页码：115-124
- 作者机构：
  
  1. 广东工业大学信息工程学院,广东,广州,510006
  2. 中国电子科技集团有限公司第七研究所,广东,广州,510000
  3. 广州航海学院海运学院,广东,广州,510725
  4. 广州港物流有限公司工程技术部,广东,广州,510700
- 作者简介：
  
  梁家耀(1999–)，男，硕士研究生，主要研究方向为无线信道测量与建模，E-mail：709131639@qq.com
  张广驰(1982–)，男，教授，博士，主要研究方向为无线通信，E-mail：gczhang@gdut.edu.cn
- 基金信息：
  
  广东省科技计划项目(2023A0505050127，2022A0505050023，2022A0505020008);广东省基础与应用基础研究基金项目(2023A1515011980);广东省海洋经济发展项目(粤自然资合[2023]24号)
- DOI：10.12052/gdutxb.230159
  中图分类号： TN928
- 纸质出版：2024
- 稿件说明：
移动端阅览
梁家耀, 张广驰, 水宜水, 崔苗, 李芳, 熊富. 面向港口堆场MANET的便携高精度信道测量与建模[J]. 广东工业大学学报, 2024, 41(6): 115-124.

Liang Jia-yao, Zhang Guang-chi, Shui Yi-shui, et al. Portable and High Precision Channel Measurement and Modeling for MANET in Port Yards[J]. 2024, 41(6): 115-124.
梁家耀, 张广驰, 水宜水, 崔苗, 李芳, 熊富. 面向港口堆场MANET的便携高精度信道测量与建模[J]. 广东工业大学学报, 2024, 41(6): 115-124. DOI： 10.12052/gdutxb.230159.

Liang Jia-yao, Zhang Guang-chi, Shui Yi-shui, et al. Portable and High Precision Channel Measurement and Modeling for MANET in Port Yards[J]. 2024, 41(6): 115-124. DOI： 10.12052/gdutxb.230159.

摘要

移动自组织网络(Mobile Ad-hoc Network

MANET)依赖小型通信节点间的信道信息，然而传统的大型信道测量设备难以搭建于MANET小型节点上，同时港口堆场节点间的无线信道呈现较强的时空变化特性，因此在该场景下进行信道测量与建模存在设备便携性与信道模型精确性的双重挑战。针对面向MANET的测量设备小型化问题，本文研究基于通用软件无线电外设(Universal Software Radio Peripheral ，USRP)的便携高精度信道测量方法，测量分析港口堆场内金属结构体对大尺度、小尺度参数的影响；针对场景复杂度高导致射线追踪信道模型精确性不足的问题，创新地提出基于信道测量数据的最优参数搜索方法，通过识别影响射线追踪精度的关键仿真参数并搜索最优值，对信道模型进行迭代校准。结果表明本文提出的建模方法在堆场MANET场景下，由金属结构体引起的多径效应导致平均功率时延谱在多个区间内出现明显聚集现象，适合采用双斜率模型对路径损耗进行拟合。本文提出的最优参数搜索方法显著提高路径损耗和均方根时延扩展仿真值与测量值的吻合度，提升了信道模型的准确性和普适性。

Abstract

The mobile ad-hoc network (MANET) under port yards relies heavily on the channel information between small communication nodes. However

it remains a challenging problem to deploy traditional large channel measurement equipment on small nodes. In addition

the wireless channel between nodes exhibits strong spatial and temporal variation characteristics. Consequently

conducting channel measurement and modeling in this scenario presents dual challenges of the equipment portability and channel modeling accuracy. To address the portability of measurement equipment

this paper investigates the highly portable and high-precision channel measurement method based on the universal software radio peripheral (USRP) and analyzes the influence of metal structures on the large-scale and small-scale parameters. To address the problem of low accuracy of the ray-tracing channel model due to the high complexity of the scenario

we propose an optimal parameter search method based on the channel measurement data by identifying the key simulation parameters of the ray-tracing channel model. By searching for the optimal values of the key simulation parameters

the channel model is iteratively calibrated. The experimental results show that our proposed model is suitable for fitting the path loss with a double-slope model in the MANET scenario

where the multipath effect caused by the metal structure results in a multi-peak distribution of the average power delay profile. The results also show that the proposed optimal parameter search method significantly improves the agreement between the simulation values of path loss and RMS delay spread with the measured values

such that the accuracy and universality of the channel model can be improved.

关键词

Keywords

references

YAO H Y, XUE T H, WANG D C, et al . Development direction of automated terminal and systematic planning of smart port[C ] //2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering. Nanchang: IEEE, 2021: 708-712.

YAU K, PENG S H, QADIR J, et al . Towards smart port infrastructures: enhancing port activities using information and communications technology [J ] . IEEE Access, 2020, 8: 83387-83404.

CHO J, SWAMI A, CHEN I. A survey on trust management for mobile ad hoc networks [J]. IEEE Communications Surveys Tutorials, 2011, 13(4): 562-583.

ABDEL F, FARHAN K, TARAWNEH F, et al . Security challenges and attacks in dynamic mobile ad hoc networks MANETs[C ] //2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology. Amman: IEEE, 2019: 28-33.

ZHANG G J, CAI X S, FAN W, et al . A USRP-Based channel sounder for UAV communications[C ] //14th European Conference on Antennas and Propagation. Copenhagen: IEEE, 2020: 1-4.

KHAWAJA W, OZDEMIR O, GUVENC I. UAV air-to-ground channel characterization for millimeter wave systems[C]//2017 IEEE 86th Vehicular Technology Conference. Toronto: IEEE, 2017: 24-27.

LI Y, FAN H. Dynamic scheduling and path planning of automated guided vehicles in automatic container terminal [J]. IEEE/CAA Journal of Automatica Sinica, 2022, 9(11): 2005-2019.

International Telecommunication Union, Recommendations ITU-R P. 1411-12 propagation data and prediction methods for the planning of short-range outdoor radio communication systems and radio local area networks in the frequency range 300 MHz to 100 GHz[R]. Dubai: ITU-R, 2023.

国际移动通信2030(6G) 推进组. 面向6G的信道测量与建模研究报告[R]. 北京: 国际移动通信推进组, 2021.

KATULSKI R, SADOWSKI J, STEFANSKI J. Propagation path loss modeling in container terminal environment[C]//2008 IEEE 68th Vehicular Technology Conference. Tokyo: IEEE, 2008: 1-4.

AMBROZIAK S, KATULSKI R. An empirical propagation model for mobile radio links in container terminal environment [J]. IEEE Transactions on Vehicular Technology, 2013, 62(9): 4276-4287.

FERREIRA M, AMBROZIAK S, CARDOSO F, et al . Fading modeling in maritime container terminal environments [J ] . IEEE Transactions on Vehicular Technology, 2018, 67(10): 9087-9096.

ZHANG J H, TANG P, YU L, et al . Channel measurements and models for 6G: current status and future outlook [J ] . Frontiers of Information Technology Electronic Engineering, 2020, 21(1): 22-61.

WANG C X, HUANG J, WANG H M, et al . 6G oriented wireless communication channel characteristics analysis and modeling [J ] . Chinese Journal on Internet of Things, 2020, 4(1): 19-32.

LI S, ZHAO X W, WANG Q, et al . Research on 26 GHz mm-wave channel measurements and modeling for outdoor microcells [J ] . Journal on Communications, 2017, 38(8): 131-139.

DUPLEICH D, MULLER R, LANDMANN M, et al . Multi-band propagation and radio channel characterization in street canyon scenarios for 5G and beyond [J ] . IEEE Access, 2019, 7: 160385-160396.

CONTI M, GIORDANO S. Mobile ad hoc networking: milestones, challenges, and new research directions [J]. IEEE Communications Magazine, 2014, 52(1): 85-96.

QUY V, BAN N, ANH D, et al . An adaptive gateway selection mechanism for MANET-IoT applications in 5G networks [J ] . IEEE Sensors Journal, 2023, 23(19): 23704-23712.

BHARTI A, ADEOGUN R, CAI X S, et al . Joint modeling of received power, mean delay, and delay spread for wideband radio channels [J ] . IEEE Transactions on Antennas and Propagation, 2021, 69(8): 4871-4882.

SILVA J, COSTA E. A ray-tracing model for millimeter-wave radio propagation in dense-scatter outdoor environments [J]. IEEE Transactions on Antennas and Propagation, 2021, 69(12): 8618-8629.

HE J Y, FU Z H, ZHAO X W, et al . Channel measurement and ray tracing technique for an outdoor microcell at millimeter wave band [J ] . Electric Power Information and Communication Technology, 2020, 18(8): 38-46.

GOLDSMITH A. Wireless communications[M]. London: Cambridge University Press, 2005: 46-47.

WANG F G, WANG X D. Fast and robust modulation classification via Kolmogorov-Smirnov test [J]. IEEE Transactions on Communications, 2010, 58(8): 2324-2332.

LI C, YANG K, YU J, et al . V2V radio channel performance based on measurements in ramp scenarios at 5.9 GHz [J ] . IEEE Access, 2018, 6: 7503-7514.

HE R S, RENAUDIN O, KOLMONEN V, et al . Vehicle-to-vehicle radio channel characterization in cross-road scenarios [J ] . IEEE Transactions on Vehicular Technology, 2016, 65(8): 5850-5861.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

3D NAND闪存多维度噪声耦合错误检测及信道建模

双模态迭代交叉注意力融合集成框架

多尺度对比嵌入增强的自适应入侵检测模型

基于PSI技术的福州市地面形变监测与影响因素分析

面向灾后救援的多无人机通感算一体化资源分配优化方法