CINDOOR: an engineering tool for planning and design of wireless systems in enclosed spaces

Torres, R.P.; Valle, L.; Domingo, M.; Diez, Matteo

doi:10.1109/74.789733

Cited by 77 publications

(49 citation statements)

References 27 publications

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“…A hybrid method based on a Shooting and Bouncing Ray (SBR) combined with the image theory is tested in some particular configurations of tunnels. Finally in [7], a tool developed for planning and design of wireless systems is presented. It is based on Ray-Tracing techniques.…”

Section: A Methods Of Tessellationmentioning

confidence: 99%

“…The second option for non-rectangular cross section straight tunnels is to consider the equivalent rectangular cross section tunnel with an equal area. The last solution is to tessellate geometries into multiple planar facets, as proposed in [1], [7], [9].…”

Section: Several Methods Of Radio Wave Propagation Modeling In Tumentioning

confidence: 99%

“…Several methods based on the ray-optical modeling approach have been proposed. They use ray launching [2], [6], the image method [7] or combination of each [1]. They all consider only the case of straight and rectangular tunnels.…”

Section: Several Methods Of Radio Wave Propagation Modeling In Tumentioning

confidence: 99%

See 2 more Smart Citations

Radio Wave Propagation in Arched Cross Section Tunnels – Simulations and Measurements

Masson¹,

Combeau²,

Berbineau³

et al. 2009

JCM

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. In this paper, we propose an approach to model radio wave propagation in these frequency bands in arched shape cross section straight tunnels using tessellation in multi-facets. The model is based on a Ray-Tracing tool using the image method. The work reported in this paper shows the propagation loss variations according to the shape of tunnels. A parametric study on the facets size to model the cross section is conducted. The influence of tunnel dimensions and signal frequency is examined. Finally, some measurement results in an arched cross section straight tunnel are presented and analyzed in terms of slow fadings and fast fadings.

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Section: A Methods Of Tessellationmentioning

confidence: 99%

Section: Several Methods Of Radio Wave Propagation Modeling In Tumentioning

confidence: 99%

See 1 more Smart Citation

Radio Wave Propagation in Arched Cross Section Tunnels – Simulations and Measurements

Masson¹,

Combeau²,

Berbineau³

et al. 2009

JCM

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show abstract

“…Current wireless network calculators or planners (e.g., [1], [2]) rarely account for downlink (DL) exposure in wireless networks (electric-field E originating from the base stations or access points (APs)), and to the author's knowledge, never for uplink-induced (UL) localized exposure (localized Specific Absorption Rate (SAR) due to the mobile device's transmitted signal). In this paper, an existing network planner (WHIPP [3]) will be extended with prediction algorithms for the simulation and visualization of the electric-field strengths due to DL traffic and localized SAR values due to UL traffic.…”

Section: Introductionmentioning

confidence: 99%

Downlink electric-field and uplink SAR prediction algorithm in indoor wireless network planner

David

Joseph

Vanhecke

et al. 2014

The 8th European Conference on Antennas and Propagation (EuCAP 2014)

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Abstract-A heuristic network calculator for both downlinkand uplink-induced exposure in indoor wireless networks is applied to two indoor environments for three phone call scenarios: UMTS macrocell, UMTS femtocell, WiFi voice-over-IP. The electric-field strength due to downlink and localized SAR distributions due to uplink are evaluated. Dependent on the building location relative to existing macrocells and on the user's phone call duration, different configurations might be preferential from an exposure point of view.

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“…To avoid the limited prediction validity of statistical models, ray-tracing and ray-launching model techniques [2][3][4][5][6] take into account the geometry of the building and the used materials. They usually require a vector based description of the environment to identify the reflected and diffracted rays from surface and edges [29].…”

Section: Introductionmentioning

confidence: 99%

Simple Indoor Path Loss Prediction Algorithm and Validation in Living Lab Setting

David

Joseph

Vanhecke

et al. 2011

Wireless Pers Commun

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A simple heuristic algorithm has been developed for an accurate prediction of indoor wireless coverage, aiming to improve existing models upon multiple aspects. Extensive measurements on several floors in four buildings are used as validation cases and show an excellent agreement with the predictions. As the prediction is based on the free-space loss model for every environment, it is generally applicable, while other propagation models are often too dependent on the environment upon which it is based. The applicability of the algorithm to a wireless testbed network in a living lab setting with WLAN 802.11b/g nodes is investigated by a site survey. The results can be extremely useful for the rollout of indoor wireless networks.

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CINDOOR: an engineering tool for planning and design of wireless systems in enclosed spaces

Cited by 77 publications

References 27 publications

Radio Wave Propagation in Arched Cross Section Tunnels – Simulations and Measurements

Radio Wave Propagation in Arched Cross Section Tunnels – Simulations and Measurements

Downlink electric-field and uplink SAR prediction algorithm in indoor wireless network planner

Simple Indoor Path Loss Prediction Algorithm and Validation in Living Lab Setting

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