An Environment-Adaptive Radio Propagation Path Loss Model With Ray-Based Validation

被引:0
|
作者
Zhou, Lingyou [1 ,2 ]
Zhang, Jie [1 ,2 ]
Zhang, Jiliang [3 ]
Qiu, Kehai [4 ,5 ]
机构
[1] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S10 2TN, England
[2] Ranplan Wireless Network Design Ltd, Cambridge CB23 3UY, England
[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[4] Univ Cambridge, Dept Comp Sci & Technol, Cambridge CB3 0FD, England
[5] Ranplan Wireless Network Design Ltd, Res & Dev, Cambridge CB23 3UY, England
来源
关键词
Path loss; prediction; radio propagation; ray tracing;
D O I
10.1109/LAWP.2024.3432578
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this letter, we introduce an adaptive multiple path loss exponent (AMPLE) radio propagation model considering environmental factors. The AMPLE model aims at predicting path loss with low computational complexity, while maintaining an acceptable prediction accuracy. Following that, we validate the model via Ranplan Professional simulations and compared it with the alpha-beta-gamma (ABG) and the 3rd Generation Partnership Project (3GPP) path loss models. The results show that the AMPLE model outperforms the path loss predictions of both the ABG and 3GPP path loss models.
引用
收藏
页码:3217 / 3221
页数:5
相关论文
共 50 条
  • [1] AMPLE: An Adaptive Multiple Path Loss Exponent Radio Propagation Model Considering Environmental Factors
    Zhou, Lingyou
    Zhang, Jie
    Zhang, Jiliang
    Cetinkaya, Oktay
    Jubb, Stephen A.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2025, 74 (02) : 3395 - 3400
  • [2] Path loss dataset for modeling radio wave propagation in smart campus environment
    Popoola, Segun, I
    Atayero, Aderemi A.
    Arausi, Oghenekaro D.
    Matthews, Victor O.
    DATA IN BRIEF, 2018, 17 : 1062 - 1073
  • [3] Environment-adaptive multi-UAV task allocation and path planning
    Zhou, Jian
    Qiu, Yuhe
    2022 CROSS STRAIT RADIO SCIENCE & WIRELESS TECHNOLOGY CONFERENCE, CSRSWTC, 2022,
  • [4] Performance Evaluation of Environment-Adaptive Agent System in OFDM Cognitive Radio
    Ogasawara, Yuki
    Odagiri, Shinya
    Yoshizawa, Shingo
    Miyanaga, Yoshikazu
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS 2008), 2008, : 299 - 302
  • [5] Path Loss Prediction Model of Radio Propagation over Lunar Surface
    Zhu, Qiuming
    Wang, Chenghua
    Chen, Xueqiang
    Chen, Chao
    Wang, Xinyi
    Zhang, Chenbeixi
    HIGH PERFORMANCE NETWORKING, COMPUTING, AND COMMUNICATION SYSTEMS, 2011, 163 : 556 - 562
  • [6] Massive MIMO Asymptotics for Ray-Based Propagation Channels
    Li, Shuang
    Smith, Peter J.
    Dmochowski, Pawel A.
    Tataria, Harsh
    Matthaiou, Michail
    Yin, Jingwei
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (06) : 3977 - 3991
  • [7] Simulation of the path loss for radio wave propagation based on MATLAB language
    Long, Y.
    Huang, M.
    Wang, X.
    Wang, Y.
    Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni, 2001, 40 (02): : 31 - 33
  • [8] Ray-based propagation of the cross-spectral density
    Petruccelli, Jonathan C.
    Alonso, Miguel A.
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2008, 25 (06) : 1395 - 1405
  • [9] Prediction System about Path Loss of Radio Propagation Based on GIS
    Zhang Chao-qun
    Xiao Hong-xiang
    Zheng Shu-yu
    INTERNATIONAL CONFERENCE ON INTELLIGENT EARTH OBSERVING AND APPLICATIONS 2015, 2015, 9808
  • [10] Empirical Validation of a Class of Ray-Based Fading Models
    Galeote-Cazorla, Juan E.
    Ramirez-Arroyo, Alejandro
    Lopez-Martinez, F. Javier
    Valenzuela-Valdes, Juan F.
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2025, 24 (02) : 1496 - 1509