UHF propagation prediction for wireless personal communications

Bertoni, H.L.; Honcharenko, W.; Macel, L.R.; Xia, H.H.

doi:10.1109/5.317081

Cited by 235 publications

(113 citation statements)

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“…A macro-outdoor geolocation system consists of a network of transmitters and receivers in which the transmitting antenna has a coverage radius going from approximately 1 km to 20 km [13], [15]. As we have discussed in the introduction, there are two primary channel effects: path loss and multipath distribution (which is discussed in a separate publication or part II [2]).…”

Section: Macro-outdoor Geolocation Path Loss Modelmentioning

confidence: 99%

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A Unified Geolocation Channel Model--Part I (Path Loss)

Progri¹

2017

J. Geolo. Geo-inf. Geo-int.

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Indoor geolocation systems have emerged and have attracted a wide audience recently. There are three important components that constitute an indoor geolocation system: transmitter, receiver, and indoor channel model. To some extent the primary transmitter design requirements are transmit power and a frequency or a set of frequencies of operation. The receiver is designed to operate at a certain distance from the transmitter and at the same frequency or set of frequencies of operation. Hence, any indoor channel model must take into account these two important design requirements.The indoor channel is perhaps very intriguing because multipath is ubiquitous due to high signal scattering, reflection, and refraction. It is been widely accepted in the literature that the two primary channel effects are: path loss and multipath distribution. First, the path loss model is currently accepted to be a function of the transmitter and receiver geometry and frequency of operation. Second, the most widely used and accepted indoor channel multipath distribution models are Raleigh, Rician, and lognormal. As indicated in the second paper (or part II) the Rayleigh distribution is wider than Rician and Rician is wider than lognormal. This implies that the Rayleigh fading channel is the most severe and Rician fading is more severe than lognormal and lognormal is the least severe channel model. Unfortunately, the dependency of the path factor on the frequency of operation in the context of a unified channel model is overlooked in the literature. Furthermore, there is no agreement on an indoor multipath distribution channel model. Although a unified channel model has not yet been found, in this paper we make a first attempt to present a unified channel model which consists of a unified path-loss model and a unified multipath distribution model.The unified path loss model consists of an approach for linking together the path loss models of the three geolocation systems (macro-outdoor, micro-outdoor, and indoor) with the distance between the transmitter and receiver, , and the frequency of operation, . Although there are several parameters that affect the power loss factor, we consider and as the most important parameters for two reasons. Most of the geolocation systems presented in the literature are based on a direct measure of the time of travel; i.e., distance between the transmitter and receiver. The frequency of these systems varies; hence, the path loss factor varies as well.While unifying the path loss model was to some extent initiated in the literature, unifying the multipath distribution model is currently a silent quest in the literature. It appears that the tendency is to come up with newer and more 32Journal of Geolocation, Geo-information, and Geo-intelligence sophisticated models that would explain the characteristics of the old models. The approach that we present in part II (on in a separate paper in the future) to unify the multipath distribution models is rather simple.The theoretical performance results are validate...

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Section: Macro-outdoor Geolocation Path Loss Modelmentioning

confidence: 99%

“…Employing Bertoni's definition [15], the path loss can be written as a product of three components: (1) free-space path loss, 0 ; (2) reduction factor due to previous rows propagation, …”

Section: Macro-outdoor Geolocation Path Loss Modelmentioning

confidence: 99%

A Unified Geolocation Channel Model--Part I (Path Loss)

Progri¹

2017

J. Geolo. Geo-inf. Geo-int.

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“…In other words, each propagating ray loses a certain amount of power due to intersection loss from reflection or transmission. On the other hands, other propagation mechanisms such as diffraction and scattering can be ignored in indoor propagation [8]. This intersection loss can be expressed in a power formulation as a multiplication by a loss coefficient.…”

Section: -1 Site-specific Path Loss Model Based On Geometricmentioning

confidence: 99%

An Interference Analysis Method with Site-Specific Path Loss Model for Wireless Personal Area Network

Moon¹,

Kwon²,

Lee³

et al. 2010

Journal of electromagnetic engineering and science

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In this paper, an interference analysis method with a site-specific path loss model for a wireless personal area network (WPAN) is proposed. The site-specific path loss model is based on geometrical optics and geometric probability to consider both site-specific radio propagation characteristics and a closed-form expression to obtain the mean interference from which the uniformly distributed multiple interferers are derived. Therefore, the proposed interference analysis method can achieve more computational simplicity than the Monte-Carlo (MC) simulation, which uses the ray-tracing (RT) technique. In addition, better accuracy than the conventional interference analysis model that uses stochastic method can also be achieved. To evaluate the proposed method, a signal to the interference-noise ratio with a mean interference concept for uniformly distributed interferers is calculated and compared in two simulation scenarios. As a result, the proposed method produces not only better matched results with the MC simulation using the RT technique than the conventional interference analysis model, but also simpler and faster calculation, which is due to the site-specific path loss model and closed-form expression for interference calculation. Ⅰ. IntroductionAs the demand for wireless communication services for indoor environments to provide multi-function and high data rate increase, more and more electrical devices short-range radio interfaces such as ultra-wideband (UWB), Zigbee, and Bluetooth are developed. These wireless communication technologies are standardized in the IEEE 802. 15 task group for wireless personal area networks (WPAN) [1]. In addition, a wireless sensor network is composed by these applications for each service target. However, because these applications generally utilize common unlicensed industrial, scientific, and medical (ISM) bands, they have difficulty in controlling the co- Fig. 1. Geometry of interference model. mmunication services for multi-users. Therefore, these applications can interfere with each other because they tend to be located in close proximity. In addition, UWB techniques, which are considered a means of supporting a high data rate, reuse the existing radio spectrum so that UWB systems can generate interference with other radio communication systems. For these reasons, many studies on the coexistence of different communication systems in WPAN applications or wireless local area network (W-LAN) applications have been done [2～4].The methods of analyzing interference effects are categorized into minimum coupling loss (MCL), enhanced MCL (E-MCL), and the Monte-Carlo (MC) based method. The E-MCL method is also known as the stochastic method; it assumes that interferers are uniformly distributed in an interference zone as shown in Fig. 1. In this method, the path loss is calculated by the simple and empirical path loss model with path loss exponents for indoor environments. Conventional interference analysis is performed mainly by this stochastic method. Although this meth...

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“…Each ray is the result of the interaction of the transmitted waves with the obstacles such as walls, partitions, doors, etc.. Each time there is an obstacle-intersection the ray loses a certain amount of power while the propagation loss in between intersections will maintain the free-space rate. In this paper, we assume that transmission and reflection are two main propagation modes since other mechanisms such as diffraction and diffuse scattering are not significant in indoor environments as mentioned in [16] and [23]. This simplification has also been used in both deterministic and stochastic models in [4,16,18,21] for instance.…”

Section: Model Preliminariesmentioning

confidence: 99%

Geometry-Based Statistical Model for Radio Propagation in Rectangular Office Buildings

Chen¹,

Zhang²,

Hu³

et al. 2009

PIER B

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Abstract-We present a new approach to the modeling of angle and time of arrival statistics for radio propagation in typical office buildings, in which the majority of interior scattering objects are either parallel or perpendicular to the exterior walls. We first describe the reradiating elements in office buildings as randomly distributed arrays of thin strips. The amount of clutter and the amount of transmission/reflection loss are then accounted for through several key parameters of the site-specific features of indoor environment, such as the layout and materials of the building under consideration. Subsequently, the important channel parameters including power azimuthal spectrum (PAS) and power delay spectrum (PDS) are derived. An appealing observation is that when the path angles from multiple channel trials are measured and collectively analyzed, deterministic angle clustering becomes evident. This phenomenon agrees well with the existing ray-tracing (RT) results reported by Jo et al. in buildings of this type and cannot be explained by other geometric channel models (GCMs). Furthermore, the proposed model predicts an asymmetric cluster PAS for a single-channel-trial scenario, which yields an excellent fit to the experimental data presented by Poon and Ho. Finally, we have also investigated the behaviors of the superimposed PAS and PDS under various channel conditions.

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UHF propagation prediction for wireless personal communications

Cited by 235 publications

References 101 publications

A Unified Geolocation Channel Model--Part I (Path Loss)

A Unified Geolocation Channel Model--Part I (Path Loss)

An Interference Analysis Method with Site-Specific Path Loss Model for Wireless Personal Area Network

Geometry-Based Statistical Model for Radio Propagation in Rectangular Office Buildings

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