Computationally Efficient Millimeter-Wave Scattering Models: A Multiple-Scattering Model

被引:4
作者
Lahuerta-Lavieja, Adrian [1 ,2 ]
Johansson, Martin [2 ]
Larsson, Christina [2 ]
Gustavsson, Ulf [2 ]
Vandenbosch, Guy A. E. [1 ]
机构
[1] Katholieke Univ Leuven, Dept Elect Engn, B-3001 Leuven, Belgium
[2] Ericsson AB, Ericsson Res, S-41756 Gothenburg, Sweden
关键词
Computational modeling; Antennas; Scattering; Surface waves; Backscatter; Transmitting antennas; Antenna radiation patterns; 5G mobile communication; channel model; computational complexity; electromagnetic (EM) scattering; Fresnel integral; millimeter-wave (mm-wave) propagation; UTD DIFFRACTION COEFFICIENT; PREDICTION;
D O I
10.1109/TAP.2022.3187457
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
Backscattering by objects is a relevant phenomenon in millimeter-wave (mm-wave) propagation. Accordingly, computationally efficient models characterizing this process are now available in the literature. However, these models are restricted to single-surface contributions. In this article, we propose a multiple-scattering model for calculating backscattered fields due to consecutive interactions with several smooth electrically-large rectangular surfaces. The model is fundamentally based on the cascading of single-scattering events. In addition, the model is later extended to capture single-scattering blockage between backscattering events. The model is implemented using a Fresnel-integral-based method and validated by means of electromagnetic (EM) simulations and measurements. Furthermore, insight on the effects of the model parameters-number of surfaces, frequency, surface size, surface height-to-width ratio, surface displacement, and antenna-to-surface and surface-to-surface distances-is provided. Due to its computational efficiency, the proposed model can be suitable for system- and link-level simulations of wireless systems, particularly when Monte Carlo simulations are applied.
引用
收藏
页码:8250 / 8261
页数:12
相关论文
共 23 条
[1]   What Will 5G Be? [J].
Andrews, Jeffrey G. ;
Buzzi, Stefano ;
Choi, Wan ;
Hanly, Stephen V. ;
Lozano, Angel ;
Soong, Anthony C. K. ;
Zhang, Jianzhong Charlie .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2014, 32 (06) :1065-1082
[2]  
[Anonymous], 2019, 526 ITU
[3]  
Balanis C., 2016, ANTENNA THEORY ANAL, V4th
[4]  
Balanis C. A., 1989, ADV ENG ELECTROMAGNE
[5]  
Berg J.-E., 1995, Sixth IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC'95. Wireless: Merging onto the Information Superhighway (Cat. No.95TH8135), P140, DOI 10.1109/PIMRC.1995.476420
[6]   An advanced field prediction model including diffuse scattering [J].
Degli-Esposti, V ;
Guiducci, D ;
de' Marsi, A ;
Azzi, P ;
Fuschini, F .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2004, 52 (07) :1717-1728
[7]   RAY TECHNIQUES IN ELECTROMAGNETICS [J].
DESCHAMP.GA .
PROCEEDINGS OF THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 1972, 60 (09) :1022-&
[8]  
Haneda K., 2017, MEASUREMENT RESULTS
[9]   Heuristic UTD Diffraction Coefficient for Three-Dimensional Dielectric Wedges [J].
Hashimoto, Takahiro ;
Zhang, Xingqi ;
Sarris, Costas D. .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2021, 69 (08) :4816-4826
[10]   A new heuristic UTD diffraction coefficient for nonperfectly conducting wedges [J].
Holm, PD .
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2000, 48 (08) :1211-1219