A communications analysis tool set that accounts for the attenuation due to foliage, buildings, and ground effects

Comparetto, G.; Schwartz, J.; Schult, N.; Marshall, J.

doi:10.1109/milcom.2003.1290433

Cited by 8 publications

(3 citation statements)

References 1 publication

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“…The difference of earth elevation from the transmitter (Tx) to the receiver (Rx) is 5 m but the ground obstruction exists on the path of propagation with the height of 15 m, therefore the loss can be found out from the diffraction calculation equations (7) to (9), and the diffraction loss is -22.75 dB. For shadow fading, the pdf of the field strength values in dB is a standard Gaussian distribution.…”

Section: Methodology and System Analysismentioning

confidence: 99%

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RF link budget analysis in urban propagation microcell environment for mobile radio communication systems link planning

Rahimian

Mehran

2011

2011 International Conference on Wireless Communications and Signal Processing (WCSP)

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This paper presents a study to design and analysis of an RF link budget analysis model with a primary focus on the real urban propagation microcell environment to analyze the mobile signal loss factors during the propagation and to calculate the transmitting signal power at the transmitter end. The link budget analysis prediction system utilizes a combined model that demonstrates appropriateness to reliable link design in order to develop a flexible RF link budget analysis prediction model for mobile communication systems cellular network link planning in urban propagation microcell environment.

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Section: Methodology and System Analysismentioning

confidence: 99%

“…To calculate the penetration loss, the empirical model derived from measured data may give accurate prediction to that particular type of building on the RF signal propagation path and is given as [9]:…”

Section: Penetration Lossmentioning

confidence: 99%

RF link budget analysis in urban propagation microcell environment for mobile radio communication systems link planning

Rahimian

Mehran

2011

2011 International Conference on Wireless Communications and Signal Processing (WCSP)

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“…The transmission range is 300 m. The free -space-path -loss model is used in the simulations to determine the transmitter power. The path loss (in dB) can be determined via equation (7) [14].…”

Section: Delivery Ratiomentioning

confidence: 99%

Lightweight Local Area Network Dynamic Routing Protocol for MANET

Macintosh¹,

Ghavami²,

Fei³

2012

JSCSE

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Abstract. A Mobile Ad Hoc etwork (MA ET) comprises mobile nodes, equipped with wireless communicationsdevices; which form a temporary communication network without fixed network infrastructure or topology. The characteristics of MA ET are: limited bandwidth; limited radio range; high mobility; and vulnerability to attacks that degrade the signal to noise ratio and bit error rates. These characteristics create challenges to MA ET routing protocols. In addition, the mobility pattern of the mobile nodes (M s) also has significant impact on the MA ET routing protocols. The issue of routing and maintaining packets between M s in the mobile ad hoc networks (MA ETs) has always been a challenge; i.e. encountering broadcast storm under high node density, geographically constrained broadcasting of a service discovery message and local maximum problem under low node density. This requires an efficient design and development of a Lightweight routing algorithm which can be handled by those GPS equipped devices. Most proposed location based routing protocols however, rely on a single route for each data transmission. They also use a location based system to find the destination address of M s which over time, will not be accurate and may result in routing loop or routing failure. Our proposed lightweight protocol, Local Area etwork Dynamic routing (LA DY) uses a localized routing technique which combines an unique locomotion prediction method and velocity information of M s to route packets. The protocol is capable of optimising routing performance in advanced mobility scenarios, by reducing the control overhead and improving the data packet delivery. In addition, the approach of using locomotion prediction has the advantage of fast and accurate routing over other position based routing algorithms in mobile scenarios. Recovery with LA DY is much faster than with other location protocols which use mainly greedy algorithms, (such as GPRS), no signaling or configuration of the intermediate nodes is required after a failure. The key difference is that it allows sharing of locomotion and velocity information among the nodes through locomotion table. Simulation results show that LA DY`s performance improves upon other position based routing protocols.

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