DocumentCode :
3287003
Title :
Wireless communications channel modeling based on numerical solutions of Maxwell equations
Author :
Lam, King Wai ; Peng, Xu ; Tsang, Leung ; Li, Qin ; Lai, Kin Lun
Author_Institution :
Wireless Commun. Res. Center, City Univ. of Hong Kong, China
fYear :
2003
fDate :
15-17 Oct. 2003
Firstpage :
261
Lastpage :
262
Abstract :
The field strength level of a received signal and its statistical distributions are important studies in wireless communication and network planning. In this paper, we perform numerical solutions of Maxwell equations based on two fast methods of solutions of method of moment (MoM) equations, multi-level fast multipole method (FMM) and the sparse matrix canonical grid method (SMCG). In the first problem, we solve a two-dimensional problem of urban area with distance of 1 kilometer at 900 MHz for macrocell/microcell studies. The fast and slow fading effects are studied. The distance power gradient is studied. In the second problem, we solve a three-dimensional scattering problem of scattering by random rough surfaces for ultrawideband (UWB) studies with bandwidth from 3 GHz to 10 GHz. The effects of pulse distortion and fast fading are studied. Results show that UWB has less fading compared with the narrow band pulse.
Keywords :
Maxwell equations; channel estimation; electromagnetic wave scattering; fading channels; method of moments; microcellular radio; radiocommunication; rough surfaces; sparse matrices; statistical analysis; telecommunication network planning; FMM; Maxwell equations; MoM; SMCG; UWB studies; distance power gradient; fast fading; field strength level; macrocell; method of moments; microcell; multi-level fast multipole method; network planning; pulse distortion; random rough surfaces; slow fading; sparse matrix canonical grid method; statistical distributions; three-dimensional scattering problem; ultrawideband studies; wireless communications channel modeling; Fading; Macrocell networks; Maxwell equations; Moment methods; Numerical models; Scattering; Sparse matrices; Statistical distributions; Urban areas; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communication Technology, 2003. IEEE Topical Conference on
Print_ISBN :
0-7803-8196-3
Type :
conf
DOI :
10.1109/WCT.2003.1321515
Filename :
1321515
Link To Document :
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