Fade characteristics for K-band land-mobile satellitechannelsin Tokyo measured using COMETS

Wakana, Hiromitsu; Yamamoto, Shinichi; Obara, Noriaki; Miura, Amane; Ikeda, Mitsuhisa

doi:10.1049/el:19991301

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…The particular Ka-band satellite signal propagation characteristics warrant the further development of the model because it is well known that the Rician satellite uplink channels are fairly consistent with small scattered power components σ 2 and thus high K factors. This is in theory because of the relatively small amount of EM wave scattering in the first Fresnel zone between the relatively higher directional transmitting antenna radiation patterns of the Ka-band UTs and the highly directional receiving antenna radiation pattern of the satellite receiver and has been validated in practice by field measurements [3,25,29]. Therefore, normalizing λ by σ 2 in (6), a clear-sky LOS CCI power distribution through an Earth satellite slant path can be rewritten as…”

Section: Uplink CCI Pdf and Snir Pdf Modelmentioning

confidence: 99%

“…Rain statistics are derived using the ITU procedure for uplink at 30 GHz [1,24]. A 20 dB K factor is assumed for the clear-sky LOS UT links whereas 24.771 dB is for the high power GW channels [6,29]. Typical noise power values are derived from the open literature and normalized with respect to the desired signal power at the receiving antenna radiation pattern peak [1,2,6].…”

Section: Sample Model Applicationsmentioning

confidence: 99%

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Ka‐band HTS channel uplink SNIR probability model

2017

Satell Commun Network

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SUMMARYI present a novel analytical study of the signal-to-noise-plus-interference ratio (SNIR) for Ka-band high throughput satellite uplink channels. The Ka-band high throughput satellite systems employ frequency and polarization (color) reuse among the spot beams to achieve throughput increase many times the throughput of the system without reuse. However, color reuse also produces substantial co-color interference and adding to it, tropospheric precipitation attenuation rises sharply in Ka-band. The co-color interference and precipitation induced fading vary randomly; they degrade the system performances. To assess the impact, I develop the uplink channel SNIR probability model in this study. Compared with the known studies of the same topic, this study takes the theoretic approach and is applicable to the urban users in particular. The model is feasible to implement and can provide accurate assessment of the channel SNIR performances statistically in theory for a wide array of system operational scenarios. The SNIR probability model is applied to a model spot beam system of 101 user beams to obtain and compare sample channel performances, which can be used for making system design choices at the early stage of a satellite project.

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Section: Uplink CCI Pdf and Snir Pdf Modelmentioning

confidence: 99%

Section: Sample Model Applicationsmentioning

confidence: 99%

Ka‐band HTS channel uplink SNIR probability model

2017

Satell Commun Network

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“…For a mobile user in the urban or open space environment or a stationary user in the urban environment, the user reverse link transmission power varies over time because of the existence of multi-paths. The Rice distribution has long been used for such a propagation channel [10,11]. It is well known that the Rican distribution is non-central chisquared (χ 2 ) distributed in power which can be readily used for the random variable β in clearsky (CS) line-of-sight (LOS) channel conditions.…”

Section: User Reverse Channel Snir Probability Modelmentioning

confidence: 99%

“…(6) or Eqs. (8)(9)(10)(11)(12), a Beta collective representation in Eq. (3b) represents well the typical 24 h traffic pattern classification of full, heavy, average or light loads for the simplified random user spatial distribution scenarios because all CCI call holding time fall into interval between zero and one when normalized with respect to the signal call holding time [10].…”

Section: Collective Representationmentioning

confidence: 99%

Ka-Band HTS System User Uplink SNIR Probability Models

Ai¹,

Helgert²

2018

Broadband Communications Networks - Recent Advances and Lessons From Practice

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Ka-band High-throughput-satellite (HTS) systems reuse frequency bands in spot beams for much higher system capacity and better spectrum efficiency. They however are prone to intra-system co-color interference and so suffer from the channel signal-to-noise-plusinterference ratio (SNIR) degradation. This chapter presents the development of the uplink SNIR probability models for Ka-band spot beam HTS systems. The models are applicable to different Ka-band propagation channel conditions of statistical significance. Its use of collective representation to model traffic variation of co-color beams captures the statistics of traffic variation and allows feasibility and variety of use case representation. The analytical approach complements known studies and fills in the blank of the use cases of urban and mobile users. The models can be used for system design performance estimation and prediction. It features computation time and memory savings in numerical implementation.

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“…Thus, the elevation angle as viewed from Japan is much higher than that of a geostationary orbital satellite (GSO-sat). According to Kimura et al [1], the three-satellite constellation of QZSS has the minimum elevation angle of 708 in the densely populated cities of Honshu island, such as Tokyo and Osaka, and 608 nationwide, while the elevation angle of a GSO-sat in Japan is around 458: The elevation-angle dependence of the land mobile propagation characteristics of the Ka-band has been measured in the Tokyo metropolitan area using the Japanese satellite COMETS [6]. According to Wakana et al [6], the availability of land mobile satellite services is over 80% at 70-758 elevations, while at 40-508 elevations (elevations for GSO-sat in Japan), the availability of land mobile satellite services is around 30%.…”

Section: Introductionmentioning

confidence: 99%

Examination of the data rate obtainable with low‐gain non‐tracking antenna applied to user terminal used for mobile communications and broadcasting services provided by quasi‐zenithal satellites

Miura

2005

Satell Commun Network

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SUMMARYLink budgets between the mobile user terminal and a feeder link station (2-m-diameter antenna) through the quasi-zenithal satellite system (QZSS) (7-m-diameter antenna for Tx, 5-m-diameter antenna for Rx) under the power flux density (PFD) limit were calculated for the Ka-and Ku-band. The PFD limit for nongeostationary satellites is applied for frequency sharing between QZSS and geostationary satellites. The maximum data rate in the Ka-band was 1.7 times higher than in the Ku-band in the forward link, while the maximum data rate at Ku-band is nine times higher than that in the Ka-band in the return link when the transmit power derived from the regulations of the PFD is applied. And it is more than three times higher than that in the Ka-band when transmit power is fixed to 2 W: In the forward link, maximum data rates are 149 kbps in the Ka-band and 86 kbps in the Ku-band when the user terminal antenna is non-tracking (gain at the satellite direction is 7:1 dBi) and the frequency bandwidth per beam is 30 MHz: Required bandwidth per channel for a certain data rate is large, e.g. in Ka-band, 20:9 MHz for 64 kbps; 125 MHz for 384 kbps; and 326 MHz for 1 Mbps: In the return link, the maximum data rates are 44 kbps in the Ku-band and 13:6 kbps in the Ka-band when the user terminal antenna gain in the satellite direction is 7:1 dBi and transmit power is 2 W:

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Fade characteristics for K-band land-mobile satellitechannelsin Tokyo measured using COMETS

Cited by 5 publications

References 2 publications

Ka‐band HTS channel uplink SNIR probability model

Ka‐band HTS channel uplink SNIR probability model

Ka-Band HTS System User Uplink SNIR Probability Models

Examination of the data rate obtainable with low‐gain non‐tracking antenna applied to user terminal used for mobile communications and broadcasting services provided by quasi‐zenithal satellites

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