Path loss, delay spread, and outage models as functions of antenna height for microcellular system design

Feuerstein, Martin J.; Blackard, K.L.; Rappaport, Theodore S.; Seidel, S.Y.; Xia, H.H.

doi:10.1109/25.312809

Cited by 257 publications

(124 citation statements)

References 15 publications

Supporting

Mentioning

110

Contrasting

Unclassified

Order By: Relevance

“…al. [28], and Maciel and Bertoni [53] make similar observations. Maciel and Bertoni see a similar qualitative cell shape when performing ray-tracing simulations for signals at 900 MHz with uniform building structures on a regular street grid.…”

Section: Related Worksupporting

confidence: 63%

Urban Propagation Modeling for Wireless Systems

Smith¹,

Cox²

2004

View full text Add to dashboard Cite

Section: Related Worksupporting

confidence: 63%

Urban Propagation Modeling for Wireless Systems

Smith¹,

Cox²

2004

View full text Add to dashboard Cite

“…The shadowing per cluster is characterized by the shape of the probability density function (assumed to be lognormal), the variance (typically on the order of 3-10 dB), and the coherence length anywhere from 5 to 100 m). The pathloss is assumed to follow the model of COST231 [33] for macrocells, and [37] for microcells.…”

Section: B Parameter Values and Capacities For Macro-and Microcellsmentioning

confidence: 99%

A Generic Model for MIMO Wireless Propagation Channels in Macro- and Microcells

Molisch

2004

IEEE Trans. Signal Process.

199

134

View full text Add to dashboard Cite

This paper derives a generic model for the multiple-input multiple-output (MIMO) wireless channel. The model incorporates important effects, including i) interdependency of directions-ofarrival and directions-of-departure, ii) large delay and angle dispersion by propagation via far clusters, and iii) rank reduction of the transfer function matrix. We propose a geometrybased model that includes the propagation effects that are critical for MIMO performance: i) single scattering around the BS and MS, ii) scattering by far clusters, iii) double-scattering, iv) waveguiding, and v) diffraction by roof edges. The required parameters for the complete definition of the model are enumerated, and typical parameter values in macro and microcellular environments are discussed.This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved.

show abstract

“…Studies conducted in the San Francisco Bay area by Feuerstein et al [7] have shown an increased radio wave propagation loss when the Freznel zone, described in the introduction, is partially obstructed.…”

Section: Requirements For Effective Radio Transmissionmentioning

confidence: 99%

Optimisation of Radio Transmitter Locations in Mobile Telecommunication Networks

Schmidt-Dumont

Vuuren

2016

SAJIE

View full text Add to dashboard Cite

Multiple factors have to be taken into account when mobile telecommunication network providers make decisions about radio transmitter placement. Generally, area coverage and the average signal level provided are of prime importance in these decisions. These criteria give rise to a bi-objective problem of facility location, with the goal of achieving an acceptable trade-off between maximising the total area coverage and maximising the average signal level provided to the demand region by a network of radio transmitters. This paper establishes a mathematical modelling framework, based on these two placement criteria, for evaluating the effectiveness of a given set of radio transmitter locations. In the framework, coverage is measured according to the degree of obstruction of the so-called 'Fresnel zone' that is formed between handset and base station, while signal strength is modelled taking radio wave propagation loss into account. This framework is used to formulate a novel bi-objective facility location model that may form the basis for decision support aimed at identifying high-quality transmitter location trade-off solutions for mobile telecommunication network providers. But it may also find application in various other contexts (such as radar, watchtower, or surveillance camera placement optimisation). OPSOMMINGVerskeie faktore moet in ag geneem word wanneer radiosenderplasingsbesluite deur mobiele telekommunikasienetwerke gemaak word. In die algemeen word area-oordekking en gemiddelde seinsterkte in hierdie besluite as belangrike kriteria geag. Hierdie kriteria gee aanleiding tot 'n twee-doelige fasiliteitplasingsprobleem gemik op die soeke na aanvaarbare afruilings tussen die maksimering van totale area-oordekking en die maksimering van gemiddelde seinsterkte aan gebiede waarin aanvraag na oordekking bestaan. 'n Wiskundige modelleringsraamwerk, gebaseer op hierdie twee plasingskriteria, word in hierdie artikel vir die evaluering van 'n versameling radiosenderliggings daargestel. In die raamwerk word oordekking gemeet volgens die mate waartoe die Fresnel-sone tussen die handtoestel en die basisstasie belemmer is, terwyl seinsterkte aan die hand van radiogolf-voortsettingsverliese gemodelleer word. Hierdie raamwerk word gebruik om 'n nuwe, twee-doelige fasiliteitplasingsmodel te formuleer wat as basis kan dien vir besluitsteun in die soeke na hoë-kwaliteit senderliggingsafruilings deur mobiele telekommunikasie-netwerkverskaffers, maar vind ook toepassing in verskeie ander kontekste (soos die optimale plasing van radars, uitkyktorings, of waarnemingskameras).

show abstract

Path loss, delay spread, and outage models as functions of antenna height for microcellular system design

Cited by 257 publications

References 15 publications

Urban Propagation Modeling for Wireless Systems

Urban Propagation Modeling for Wireless Systems

A Generic Model for MIMO Wireless Propagation Channels in Macro- and Microcells

Optimisation of Radio Transmitter Locations in Mobile Telecommunication Networks

Contact Info

Product

Resources

About