V-Band Channel Modeling, Throughput Measurements, and Coverage Prediction for Indoor Residential Environments

Beelde, Brecht De; Lopéz, Andrés Almarcha; David, Paul A.; Joseph, Wout

doi:10.3390/electronics11040659

Cited by 6 publications

(8 citation statements)

References 55 publications

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“…In [12], indoor path loss measurements in a residential living room at 60 GHz are presented. Radio propagation in office environments is well studied [8,[13][14][15][16][17][18][19][20].…”

Section: Related Workmentioning

confidence: 99%

Geodesic Path Model for Indoor Propagation Loss Prediction of Narrowband Channels

Kaya

Beelde

Joseph

et al. 2022

Sensors

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Indoor path loss models characterize the attenuation of signals between a transmitting and receiving antenna for a certain frequency and type of environment. Their use ranges from network coverage planning to joint communication and sensing applications such as localization and crowd counting. The need for this proposed geodesic path model comes forth from attempts at path loss-based localization on ships, for which the traditional models do not yield satisfactory path loss predictions. In this work, we present a novel pathfinding-based path loss model, requiring only a simple binary floor map and transmitter locations as input. The approximated propagation path is determined using geodesics, which are constrained shortest distances within path-connected spaces. However, finding geodesic paths from one distinct path-connected space to another is done through a systematic process of choosing space connector points and concatenating parts of the geodesic path. We developed an accompanying tool and present its algorithm which automatically extracts model parameters such as the number of wall crossings on the direct path as well as on the geodesic path, path distance, and direction changes on the corners along the propagation path. Moreover, we validate our model against path loss measurements conducted in two distinct indoor environments using DASH-7 sensor networks operating at 868 MHz. The results are then compared to traditional floor-map-based models. Mean absolute errors as low as 4.79 dB and a standard deviation of the model error of 3.63 dB is achieved in a ship environment, almost half the values of the next best traditional model. Improvements in an office environment are more modest with a mean absolute error of 6.16 dB and a standard deviation of 4.55 dB.

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“…In [12], indoor path loss measurements in a residential living room at 60 GHz are presented. Radio propagation in office environments is well studied [8,[13][14][15][16][17][18][19][20].…”

Section: Related Workmentioning

confidence: 99%

Geodesic Path Model for Indoor Propagation Loss Prediction of Narrowband Channels

Kaya

Beelde

Joseph

et al. 2022

Sensors

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“…The same channel sounding platform is used to characterize the unmanned aerial vehicle to ground wireless communication channel at 60 GHz, resulting in a PL model with quantification of beam misalignment (Garcia Sanchez et al., 2020). Furthermore, the channel sounder is used for indoor PL and network performance measurements (De Beelde, Almarcha, et al., 2022; De Beelde, Tanghe, et al., 2021) and outdoor measurements (Aslam et al., 2020; Du et al., 2022; Sanchez & Chowdhury, 2020; Tariq et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Throughput measurements for indoor scenarios using IEEE Std. 802.11ad transceivers are presented in Hirata and Murase (2020), Nino et al (2021), and Saha et al (2015), and network performance measurements, that is, throughput and packet error rate, are compared to a network performance prediction tool in De Beelde, Almarcha, et al (2022) for a residential environment. The narrow beamwidth of the antenna systems used in actual 60 GHz communication systems results in a low angular spread, even for the metallic hull of a vessel , but reflections enable wireless communication in non-Line-of-Sight (NLOS) scenarios (De Beelde, Lopéz, et al, 2021).…”

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confidence: 99%

Outdoor mmWave Channel Modeling for Fixed Wireless Access at 60 GHz

et al. 2022

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According to the Shannon capacity theorem, the large bandwidths that are available in the millimeter wave (mmWave) frequency bands enable high-throughput wireless communication. Indoor applications include high-throughput access points for video streaming, gaming, and virtual and augmented reality, as well as wireless hubs and board-to-board interconnections in server rooms. Outdoors, cellular systems benefit from the increased bandwidth, for example, in fifth-generation (5G) and future sixth-generation mobile networks. Another application for outdoor wireless communication at mmWave frequencies is fixed wireless access (FWA), in which fixed point-to-point wireless links provide internet connectivity to residential and enterprise buildings. FWA can be a cheaper alternative than deploying a fiber-optic network, as no digging is required and the infrastructure work is limited (Ioannou et al., 2020).Reliable wireless channel models are critical for the design of wireless systems. Numerous indoor radio channel models at 60 GHz exist, and an overview of indoor mmWave channel models is provided in Al-Saman et al. (2021). Indoor channel measurements at 60 GHz for wireless local area network (WLAN) applications are presented in Moraitis and Constantinou (2004), and the IEEE Std. 802.11ad wireless standard is designed for communication at 60 GHz, using channels with a bandwidth of 2.16 GHz (IEEE 802.11ad, 2012). In Zhou et al. ( 2017), good agreement is found between indoor measurements and ray-tracing simulations using geometrical optics and the uniform theory of diffraction. A statistical spatio-temporal model for large indoor environments shows that Line-of-Sight (LOS) paths and specular reflections are dominant over diffuse scattering (Haneda et al., 2015). Channel measurements at 60 GHz in an office environment are presented in de Jong et al. (2018), Dupleich et al. (2014), Maltsev et al. (2009), and Wu et al. (2017. A 60 GHz conference room channel model is provided in Maltsev et al. (2010). In He et al. (2018), a train environment is considered, and channel models for a data center environment are presented in Gentile et al. (2018) andZaaimia et al. (2016). In a hospital environment, lower path loss (PL) and delay spread values are found, compared to other indoor environments (Kyrö et al., 2011). The influence of human activity on the 60 GHz indoor radio channel is discussed in Collonge et al. (2004), and a human blockage model is provided in Jacob et al. (2011Jacob et al. ( , 2013. Indoor reflection and transmission measurements at various mmWave frequency bands are presented in Xing et al. (2019). Penetration loss measurements at 73 GHz are presented in Ryan et al. (2017). Reflection and transmission measurements of interior structures of office buildings are presented in Sato et al. (1997). Penetration and reflection loss measurements at frequencies 60, 71, and 81 GHz are studied in Khatun et al. (2021). The estimation of material characteristics at 60 GHz from

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“…The scattering coefficient is a ratio of the sound energy scattered in a non-specular manner to the total reflected sound energy. The sound scattering coefficient is measured as the amount of sound scattered from a particular direction or distribution De Beelde, 2022;Zhu, 2020). There is no direct relationship between the scattering coefficient and the diffusion coefficient.…”

Section: Research On Sound Propagation In Roomsmentioning

confidence: 99%

“…Diffusion is the process in which acoustic energy comes into contact with a solid irregular shape with a large surface area and spreads out in many directions. Measures such as diffusers will help reduce acoustic energy (Arenas, 2010;De Beelde, 2022;Zhu, 2020).…”

Section: Principles Of Sound Diffusion Through Materialsmentioning

confidence: 99%

Research and modification of sound diffusers using wood waste charcoal

Khrystoslavenko

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Disertacija rengta 2016-2024 metais Vilniaus Gedimino technikos universitete. Vadovas doc. dr. Raimondas GRUBLIAUSKAS (Vilniaus Gedimino technikos universitetas, aplinkos inžinerija -T 004). Vilniaus Gedimino technikos universiteto Aplinkos inžinerijos mokslo krypties disertacijos gynimo taryba: Pirmininkas prof. dr. Saulius VASAREVIČIUS (Vilniaus Gedimino technikos universitetas, aplinkos inžinerija -T 004). Nariai: dr. Steigvilė BYČENKIENĖ (Valstybinis mokslinių tyrimų institutas Fizinių ir technologijos mokslų centras, fizika -N 002), dr. Olga KIZINIEVIČ (Vilniaus Gedimino technikos universitetas, aplinkos inžinerija -T 004), dr. Jurgita MALAIŠKIENĖ (Vilniaus Gedimino technikos universitetas, aplinkos inžinerija -T 004), dr. Fabio SERPILLI (Markės politechnikos universitetas, Italija, statybos inžinerija -T 002). Disertacija bus ginama viešame Aplinkos inžinerijos mokslo krypties disertacijos gynimo tarybos posėdyje 2024 m. gegužės 3 d. 10 val. Vilniaus Gedimino technikos universiteto SRA-I posėdžių salėje.

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V-Band Channel Modeling, Throughput Measurements, and Coverage Prediction for Indoor Residential Environments

Cited by 6 publications

References 55 publications

Geodesic Path Model for Indoor Propagation Loss Prediction of Narrowband Channels

Geodesic Path Model for Indoor Propagation Loss Prediction of Narrowband Channels

Outdoor mmWave Channel Modeling for Fixed Wireless Access at 60 GHz

Research and modification of sound diffusers using wood waste charcoal

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