Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/112295
Title: Statistical Modeling of Broadband Wireless LAN Channels at 18 GHz Using Directive Antennas
Authors: Do, M.A.
Sun, S. 
Keywords: Radio wave propagation
Statistical modeling
Issue Date: 1997
Source: Do, M.A.,Sun, S. (1997). Statistical Modeling of Broadband Wireless LAN Channels at 18 GHz Using Directive Antennas. International Journal of Wireless Information Networks 4 (1) : 21-30. ScholarBank@NUS Repository.
Abstract: Measurements of indoor radio channels in the frequency domain were carried out in a communicationslaboratoryat 18-19 GHz using directive antennas of beamwidths equal to 25 ○V × 53 ○H. Statistical modeling of the channel parameters was derived from 800 data profiles. The main results obtained are: (1) The arrival times of the multipath components have a clustering property, with its statistical distribution fitting very well to the modified Poisson process; (2) the amplitudes of the multipath components and the mid-scale power attenuation obey the log-normal distribution; (3) the power decreases with the antenna separation exponentially, with the exponent around 1.9 for Line-of-Sight (LOS) locations, 2.7 for non-line-of-sight (NLOS) locations, and 2.2 for both LOS and NLOS locations; (4) the RMS Delay Spread values are generally quite small, with a global mean value of 4.8 ns, and standard deviation value of 5.3 ns. Its statistical distribution was found to follow the normal distribution for the same antenna separation as well as for all the measurement data with different antenna separations; (5) the RMS delay spread is inversely proportional to the channel coherence bandwidth, with the proportional coefficient greater for LOS data than for NLOS data, and also decaying with the increment of antenna separations.
Source Title: International Journal of Wireless Information Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/112295
ISSN: 10689605
Appears in Collections:Staff Publications

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