Multipath Clustering and Cluster Tracking for Geometry-Based Stochastic Channel Modeling

Hanpinitsak, Panawit; Saito, Kentaro; Takada, Jun‐ichi; Kim, Minseok; Materum, Lawrence

doi:10.1109/tap.2017.2754417

Cited by 27 publications

(32 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Theory-based using PO [34]. In the measurement-based analysis, MPC parameters and scattering points (SPs) were estimated from the channel sounder [5], [6] using SAGE [32] and an enhanced measurement-based ray tracer (MBRT) [30], [33]. These SPs can be divided into single bounce (SB) SPs (SBSPs), double bounce (DB) SPs (DBSPs), and triple bounce (TB) SPs (TBSPs).…”

Section: List Of Acronymsmentioning

confidence: 99%

“…Each IO could also be interpreted as a cluster of specular and diffuse MPCs [26]. This is called geometry-based clustering [30], [31]. As these inconsistencies lead to an unclear conclusion about the channel frequency dependency, the clarification and understanding of the physical mechanism of each geometry-based cluster or IO at several frequency bands are essential insights to improve the model.…”

mentioning

confidence: 99%

“…As these inconsistencies lead to an unclear conclusion about the channel frequency dependency, the clarification and understanding of the physical mechanism of each geometry-based cluster or IO at several frequency bands are essential insights to improve the model. However, most of the cluster physical interpretation studies only focus on a single frequency band, such as indoor 11 GHz [30] or an outdoor suburban scenario at 300 MHz [31]. To the best knowledge of the authors, geometry-based cluster comparisons of the UHF and SHF bands, as well as their interpretations based on electromagnetic simulations have not been reported in the open literature.…”

mentioning

confidence: 99%

“…Our contributions and enhancements in relation to our previous papers [23], [24] are divided into three aspects: First, we identified the geometry-based clusters and IOs in the propagation environment automatically by applying the scattering point-based KPowerMeans (SPKPM) algorithm to the SIMO channel to estimate the geometrybased clusters. SPKPM was already proposed by the authors in [30], [33], but only applied to the 11 GHz channel. This approach is also different from that of [31], which utilizes visual inspection to obtain the geometry-based clusters.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands

et al. 2019

Self Cite

View full text Add to dashboard Cite

This paper presents an analysis of geometry-based cluster frequency dependency at super-highfrequency bands, including 3, 10, and 28 GHz. First, multipath components were extracted from the measured data by using the space-alternating generalized expectation-maximization algorithm. Then, geometry-based clusters were estimated by using the enhanced scattering point-based KPowerMeans (SPKPM) algorithm. Finally, the frequency dependencies of their scattering intensities were discussed with the assistance of physical optics. The analysis results showed that the SPKPM could also be applied to obtain reasonable scattering locations at multiple frequencies in most cases. In addition, reflection on smooth surfaces was the dominant mechanism of clustering where there was no frequency dependence, whereas diffraction, scattering, and shadowing were significant causes of frequency dependence. Assuming that the line-of-sight is obstructed, diffraction, scattering, and shadowing accounted for 30-40% of the entire channel in terms of power, which was not negligible and thus the channel was largely frequency-dependent. The analysis results are expected to provide crucial insights for multiple-frequency channel modeling for fifth-generation wireless systems. INDEX TERMS Radio propagation, SHF bands, indoor, MPC clustering, channel models, physical optics. I. INTRODUCTION Owing to the large available bandwidth and the possibility to construct a compact antenna array with a large number of elements, millimeter wave (mmWave) bands have been suggested as the primary enabler of fifth-generation (5G) communication systems [1], [2], in order to accommodate a dramatic increase in data traffic. However, the transmitted signals suffer from larger free space path loss in these bands. Furthermore, the performance is more susceptible to shadowing and mobile station movement. Thus, to compensate for these effects as well as to ensure compliance with strict regulations, it is possible that a very large bandwidth or several subbands from the microwave to mmWave bands may be The associate editor coordinating the review of this manuscript and approving it for publication was Jose Saldana.

show abstract

Section: List Of Acronymsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…This is obtained through the reading of the wattmeter when no load is plugged. Multipath clustering can also be performed to improve the performance [35]. Average power is the power obtained in a certain period of time and expressed in terms of a kilowatt-hour.…”

Section: Monitoring Systemmentioning

confidence: 99%

Implementation of Solar Electricity and Water Filtration systems for a Smart House

Africa¹,

Cruz²,

Dilla³

et al. 2019

IJRTE

View full text Add to dashboard Cite

Abstract: The use of fossil fuels as a source of energy is one of the problems faced by the government nowadays. These cause harmful effects not only on humans, but also on the environment. Another problem is the supply and sanitation of water. The supply is becoming limited especially in rural areas and the sanitation is not being assured. In this research paper, the uses of solar energy and water as alternative sources are discussed. This research implemented solar electricity and water filtration systems for home use. Through these systems, the user can save a minimum of 20% of specific electricity wattage and save a certain amount of filtered water depending on the amount of rainwater collected. The materials used are Solar Panel, AGM Battery, Grid-tie Inverter, Charge Controller, Reverse Osmosis System, LCD, gizDuino+, ATMEGA 324P, and various components like resistors, transistors, and wires that made up the monitoring system's circuit.

show abstract

IRACON channel measurements and models

Salous

Gaillot

Molina‐Garcia‐Pardo

et al. 2021

Inclusive Radio Communications for 5G and Beyond

View full text Add to dashboard Cite

Multipath Clustering and Cluster Tracking for Geometry-Based Stochastic Channel Modeling

Cited by 27 publications

References 22 publications

Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands

Frequency Characteristics of Geometry-Based Clusters in Indoor Hall Environment at SHF Bands

Implementation of Solar Electricity and Water Filtration systems for a Smart House

IRACON channel measurements and models

Contact Info

Product

Resources

About