Comparison of indoor propagation channel characteristics at different frequencies

Zaghloul, H.; Fattouche, M.; Morrison, G.C.; Tholl, D.

doi:10.1049/el:19911287

Cited by 9 publications

(2 citation statements)

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“…The behavior of with distance (whole corridor) could not be mathematically modeled. Similar behavior is reported in [16], where measurements in a hallway at 1.6 GHz have shown an increase in with separations up to a distance of 10 m and fluctuates around some mean level at larger separations.…”

Section: B Mean and Rms Delay Spreadsupporting

confidence: 85%

Frequency Domain Characterization of LoS Nonfading Indoor Wireless LAN Channel Employing Frequency and Polarization Diversity in the 63.4–65.4 GHz Band

Hammoudeh

Scammell

2004

IEEE Trans. Veh. Technol.

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Abstract-This paper presents results of frequency domain measurements conducted to characterize the distortionless transmission bandwidth (DTB) of indoor nonfading channels employing vertically and horizontally polarized antennas in the frequency band 63.4-65.4 GHz. The mean delay spread ( mean ), root mean square (rms) delay spread ( rms ), and the DTB of the channel are also presented as functions of distance between terminals and are compared for both polarizations. The dependence of DTB on the separation between terminals is modeled as DTB = where is a constant. mean increases linearly with , and its relationship with DTB is characterized as DTB = (1 mean ) + , where and are constants. The effectiveness of frequency and polarization diversity in mitigating the effects of multipath fading in indoor channels has also been evaluated. The performance of both diversity techniques when modulated signals with high data rates for multimedia applications are utilized is presented for maximum selection combining. The performance of frequency diversity is also shown as a function of frequency separation between diversity branch signals to determine whether an optimal frequency separation exists.

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Section: B Mean and Rms Delay Spreadsupporting

confidence: 85%

Frequency Domain Characterization of LoS Nonfading Indoor Wireless LAN Channel Employing Frequency and Polarization Diversity in the 63.4–65.4 GHz Band

Hammoudeh

Scammell

2004

IEEE Trans. Veh. Technol.

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“…There are many factors affecting the impulse response, such as the frequency, the height of the transmitting and receiving antennas, fxed objects (mountains, buildings, or indoor furniture), and moving humans or objects close to the transmitter and/or the receiver. It is shown in Table 5 that the RMS time delay vanes little for different frequencies for indoor environments [106], but a different conclusion was obtained in [107]. In [108], it was found that at 11.5 GHz, the RMS time delay in most cases was significantly smaller than at 2.4 GHz and 4.75 GHz, for which the values were, in general, about the same.…”

Section: Models Based On Measurement Resultsmentioning

confidence: 84%

A survey of various propagation models for mobile communication

Sarkar

Kim

et al. 2003

IEEE Antennas Propag. Mag.

752

363

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In order to estimate the signal parameters accurately for mobile systems, it is necessary to estimate a system's propagation characteristics through a medium. Propagation analysis provides a good initial estimate of the signal characteristics. The ability to accurately predict radio-propagation behavior for wireless personal communication systems, such as cellular mobile radio, is becoming crucial to system design. Since site measurements are costly, propagation models have been developed as a suitable, low-cost, and convenient alternative. Channel modeling is required to predict path loss and to characterize the impulse response of the propagating channel. The path loss is associated with the design of base stations, as this tells us how much a transmitter needs to radiate to service a given region. Channel characterization, on the other hand, deals with the fidelity of the received signals, and has to do with the nature of the waveform received at a receiver. The objective here is to design a suitable receiver that will receive the transmitted signal, distorted.due to the multipath and dispersion effects of the channel, and that will decode the transmitted signal. An understanding of the various propagation models can. actually address both problems. This paper begins with a review of the information available on the various propagation models for both indoor and outdoor environments. .The existing models can be classified into two major classes: statistical models and site-specific models. The main characteristics of the radio channelsuch as path loss, fading, and time-delay spreadare discussed. Currently, a third alternative, which includes many new numerical methods, is being introduced to propagation prediction. The advantages and disadvantages of some of these methods are summarized. In'addition, an impulse-response characterization for the propagation path is also presented, including models for small-scale fading. Finally, it is shown that when two-way communication ports can be defined for a mobile system, it is possible to use reciprocity to focus the energy along the direction of an intended user without any explicit knowledge of the electromagnetic environment in which the system is operating, or knowledge of the spatial locations of the transmitter and the receiver.

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Wireless Communications

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Comparison of indoor propagation channel characteristics at different frequencies

Cited by 9 publications

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Frequency Domain Characterization of LoS Nonfading Indoor Wireless LAN Channel Employing Frequency and Polarization Diversity in the 63.4–65.4 GHz Band

Frequency Domain Characterization of LoS Nonfading Indoor Wireless LAN Channel Employing Frequency and Polarization Diversity in the 63.4–65.4 GHz Band

A survey of various propagation models for mobile communication

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