Mobile Radio Communications

Steele, R.

doi:10.1109/9780470547229

Cited by 642 publications

(387 citation statements)

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“…Wide band radio channel power delay profile P h (τ ) obtained by measurements may be transformed to the channel impulse response h(τ ) from [1], [2]:…”

Section: Definitionsmentioning

confidence: 99%

“…Three methods may be applied to determine the channel impulse response: RF-impulse method, VNA-method and PN-sequence method [1], [2]. In [10], [11] the vector network analyzer method is explained in detail.…”

Section: Measurement Proceduresmentioning

confidence: 99%

“…Radio channel modeling basics are well described in literature [1], [2]. Pioneer steps have been done by Turin and Guns.…”

Section: Introductionmentioning

confidence: 99%

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Inter-Floor Wide Band Radio Channel Measurements and Simulation Applying Saleh-Valenzuela Model

Marinović

Čoko

2015

Automatika

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Original scientific paperThis paper explores the accuracy of Saleh-Valenzuela (SV) statistical simulation model in time of arrival domain (ToA) applied on inter-floor wide band indoor radio channels. In order to extract the model parameters, an extensive measurement campaign was performed inside a modern building by applying vector network analyzer method at frequency of 1.8 GHz. The measurement results are presented in form of path loss exponent and delay spread statistics for each number-of-floors (NOF) distance between the antennas (up to 4). Path loss exponent was found to be around 3 for antennas on a same floor and around 5.5 for any other case when antennas were on separated floors. CDFs of rms delay spread may be divided into two groups: the first group is made of single-floor (SF) case and distanced-floors (DF) cases (three or more floors separated antennas) which showed similarities performing median value at 20 ns. For neighboring-floors (NF) cases (one and two floors separation) this value was increased to 35 ns. SV simulation, run with the extracted parameters, assessed delay spread statistics sufficiently good for the first group of CDFs. In order to assess the second group results, it was necessary to introduce simple corrections in SV model application.Key words: Inter-floor wide band radio channel, Multipath propagation, Path loss, RMS delay spread Simulacija radijskog kanala izme u katova primjenom SV modela. U radu se analizira mogućnost primjene Saleh-Valenzuelovog (SV) statističkog modela simulacije radijskog kanala u domeni kašnjenja na širokopojasne radijske kanale u zatvorenim prostorima koji obuhvaćaju više katova. Da bi se došlo do parametara simulacije, provedena je kampanja mjerenja unutar jednog objekta tipične moderne arhitekture primjenjujući metodu mjerenja s vektorskim mrežnim analizatorom na frekvenciji 1.8 GHz. Rezultati mjerenja predstavljeni su u obliku eksponenta gubitaka i kumulativne raspodjele vjerojatnosti (CDF funkcije) u ovisnosti o broju katova koji dijele odašiljač i prijamnik (do 4). Izmjereni eksponent gubitaka kretao se oko 3 za kanale na istom katu i oko 5.5 za kanale kod kojih su antene bile raspore ene na različitim katovima. Dobivene CDF funkcije mogu se podijeliti u dvije grupe: prvu grupučine kanali na istom katu (SF) i kanali me u udaljenim katovima (DF -tri ili više katova udaljene antene), koji su pokazali velike sličnosti te se mogu okarakterizirati prosječnim kašnjenjem od oko 20 ns. Za kanale izme u susjednih katova (NF -jedan ili dva kata udaljene antene) ova vijednost povećana je na oko 35 ns. SV simulacija, pokrenuta s izmjerenim parametrima predvidjela je CDF funkcije zadovoljvajuće dobro samo za prvu grupu kanala. Da bi se uspješno mogli simulirati i kanali iz druge grupe, predstavljen je jednostavan korekcijski model koji to omogućava.Ključne riječi: širokopojasni radijski kanal izme u katova, višestazna propagacija, gubici propagacije, efektivno raspršenje kašnjenja

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“…Wide band radio channel power delay profile P h (τ ) obtained by measurements may be transformed to the channel impulse response h(τ ) from [1], [2]:…”

Section: Definitionsmentioning

confidence: 99%

Section: Measurement Proceduresmentioning

confidence: 99%

See 1 more Smart Citation

Inter-Floor Wide Band Radio Channel Measurements and Simulation Applying Saleh-Valenzuela Model

Marinović

Čoko

2015

Automatika

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“…One of the networks is analogue ( C net ), operating at 450 MHz, and the remaining four networks are digital (GSM ) ( Steele and Hanzo, 1999 ) , two of them operating in the 900 MHz band (D net: 890 ±915 MHz uplink, 935 ±960 MHz downlink ) and two of them operating in the 1800 MHz band ( E net: 1710( E net: ± 17851805± 1880. The C net system was introduced in 1985, but never had more than a million users and now plays only a minor role in German mobile phone communications.…”

Section: Current Situationmentioning

confidence: 99%

A discussion of potential exposure metrics for use in epidemiological studies on human exposure to radiowaves from mobile phone base stations

Schüz

Mann²

2000

J Expo Sci Environ Epidemiol

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There is currently a high level of concern in many countries that exposure to radiowaves from mobile phone base stations may be hazardous to health. When investigating such suggested risks, epidemiologists need to define an exposure metric that can reliably discriminate between exposed and unexposed groups of people. We conducted a feasibility study to investigate if either short -term measurements of electric field strength, calculations of electric field strength, or distance from nearby mobile phone base stations could be used to develop a metric reflecting an individual's exposure to radiowaves. With electric field strengths in the range of 0.012 ± 0.343 V / m, radiowaves from mobile phone base stations were found to give a material contribution to total exposure; however, stronger signals were frequently measured from other sources such as broadcast radio and television transmitters. Theoretical considerations and the measurements made during this work demonstrated that studies at the population level on suggested adverse effects of radiowaves from mobile phone base stations are not feasible since no valid metric for estimating historical exposures is currently available. The pace of radio infrastructure development is also such that today's measurements are unlikely to be good proxies for either past or future exposures. The complex propagation characteristics affecting the beams from base station antennas include shielding effects and multiple reflections from house walls and other buildings. These factors, combined with the presence of other environmental sources of radiowaves, cause distance from a base station to be a poor proxy for exposure to radiowaves indoors. It may be possible to adapt computer models developed by network providers to predict network coverage for epidemiological purposes; however, this has yet to be investigated. Furthermore, there is little evidence that presently justifies epidemiological studies being restricted to adverse effects of radiowaves from mobile phone base stations while neglecting radiowaves at other frequencies produced by different transmitters. Journal of Exposure Analysis and Environmental Epidemiology ( 2000 ) 10, 600 ± 605.

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“…zero-mean complex Gaussian entries with unit variance. The time correlation factor ρ models the variability of the channel and depends on the Doppler frequency f D caused by the movement of the transmitter/receiver through the expression ρ = J 0 2πf D τ [9], where J 0 is the zeroth-order Bessel function of the first kind and τ corresponds to the time difference between consecutive feedback instants. Note that the case of an invariant channel corresponds to ρ = 1.…”

Section: Effect Of Feedback On the Performancementioning

confidence: 99%

Trade-off between Feedback Load for the Channel State Information and System Performance in MIMO Communications

Sacristan-Murga

Pascual‐Iserte

2010

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. The performance of multiple-input multiple-output (MIMO) communication systems is greatly increased by having channel state information (CSI) at the transmitter. In systems with no channel reciprocity, a limited feedback link is used to send the CSI from the receiver to the transmitter. However, the resources for the feedback link come at the expense of resources from the communications link. This paper studies the trade-off between accurate feedback and system performance for systems using different feedback techniques. The optimum feedback load is computed for different transmission schemes including time-division duplex (TDD) and frequency-division duplexing (FDD).

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Mobile Radio Communications

Cited by 642 publications

References 0 publications

Inter-Floor Wide Band Radio Channel Measurements and Simulation Applying Saleh-Valenzuela Model

Inter-Floor Wide Band Radio Channel Measurements and Simulation Applying Saleh-Valenzuela Model

A discussion of potential exposure metrics for use in epidemiological studies on human exposure to radiowaves from mobile phone base stations

Trade-off between Feedback Load for the Channel State Information and System Performance in MIMO Communications

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