Analysis of Outdoor to Indoor Penetration Loss for mmWave Channels

Zekri, Abdelbasset Bedda; Ajgou, Riadh; Chemsa, Ali; Ghendir, Said

doi:10.1109/ccssp49278.2020.9151659

Cited by 12 publications

(8 citation statements)

References 9 publications

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“…Several recent measurements in commercial mmWave networks now clearly demonstrate that outdoor coverage can be highly intermittent [6], [7] with limited penetration indoors [8], [9]. MmWave signals are simply blocked by many common building materials such as concrete [10], [14] as well as the human body and other obstacles [11]- [13]. See also Section D below.…”

Section: A Prior Developments In the Sub-6 And Mmwave Bandsmentioning

confidence: 99%

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Cellular Wireless Networks in the Upper Mid-Band

Kang,

Mezzavilla,

Rangan

et al. 2024

IEEE Open J. Commun. Soc.

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The upper mid-band -approximately from 7 to 24 GHz -has recently attracted considerable interest for new cellular services. This frequency range has vastly more spectrum than the highly congested bands below 7 GHz while offering more favorable propagation and coverage than the millimeter wave (mmWave) frequencies. In this regard, the upper mid-band has the potential to provide a powerful and complementary frequency range that balances coverage and capacity. Realizing cellular networks that exploit the full range of these bands, however, presents significant technical challenges. Most importantly, spectrum will likely need to be shared with incumbents including communication satellites, military RADAR, and radio astronomy. Also, the upper mid-band is simply a vast frequency range. Due to this wide bandwidth, combined with the directional nature of transmission and intermittent occupancy of incumbents, cellular systems will likely need to be agile to sense and intelligently use large spatial and frequency degrees of freedom. This paper attempts to provide an initial assessment of the feasibility and potential gains of such adaptive wideband cellular systems operating across the upper mid-band. The study includes: (1) a detailed ray tracing simulation to assess potential gains of multi-band systems in a representative dense urban environment and illustrate the value of a wideband system with dynamic frequency selectivity; (2) an evaluation of potential cross-interference between satellites and terrestrial cellular services and interference nulling to reduce that interference; and (3) design and evaluation of a compact multi-band antenna array structure. Leveraging these preliminary results, we identify potential future research directions to realize next-generation systems in these frequencies.

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Section: A Prior Developments In the Sub-6 And Mmwave Bandsmentioning

confidence: 99%

“…However, extensive measurements also now show that practical performance is often intermittent [6], [7] with limited penetration inside [8], [9]. At root, this poor coverage is due to the inherently limited range of mmWave signals and their high susceptibility to blockage [10]- [14].…”

Section: Introductionmentioning

confidence: 99%

Cellular Wireless Networks in the Upper Mid-Band

Kang,

Mezzavilla,

Rangan

et al. 2024

IEEE Open J. Commun. Soc.

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“…As rural areas contain less traffic and fewer buildings and people, the usage of propagation is simple compared with urban areas. Thus, fewer macro cells are placed with a smaller number of antennas and sub antennas such as a microcell [ 10 , 11 ].…”

Section: Millimeter Wave Scenario Parametersmentioning

confidence: 99%

“…The signals or the millimeter waves receiving or transmitting may be disturbed when a human blocks the path. However, the interferences are being resolved daily with new techniques [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…The author presents an analysis of the O2I penetration loss of millimeter waves channels at 28, 38, 60, and 73 GHz operating frequencies for different scenarios: Low loss/high loss and TX/RX antenna HPBW azimuth/elevation 10°/15°. The type of building (standard glass, wood, IRR glass, and concrete) and antenna properties affect channel characteristic O2I penetration loss [ 11 ]. In [ 12 ], the author compares three 5G channel models, i.e., QuaDRiGa, NYUSIM, and MG5G, from the perspectives of modeling methodologies, parameter settings, and channel simulations.…”

Section: Introductionmentioning

confidence: 99%

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Investigating UAV-Based Applications in Indoor–Outdoor Sports Stadiums and Open-Air Gatherings for Different Interference Conditions beyond 5G Networks

Gupta,

Saini,

Teja

et al. 2023

Sensors

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With the onset of 5G technology, the number of users is increasing drastically. These increased numbers of users demand better service on the network. This study examines the millimeter wave bands working frequencies. Working in the millimeter wave band has the disadvantage of interference. This study aims to analyze the impact of different interference conditions on unmanned aerial vehicle use scenarios, such as open-air gatherings and indoor-outdoor sports stadiums. Performance analysis was carried out in terms of received power and path loss readings.

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A Tutorial on NYUSIM: Sub-Terahertz and Millimeter-Wave Channel Simulator for 5G, 6G, and Beyond

Poddar,

Ju,

Shakya

et al. 2024

IEEE Commun. Surv. Tutorials

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With the advancement of wireless communication to sub-terahertz (THz) and millimeter-wave (mmWave) bands, accurate channel models and simulation tools are becoming increasingly important for modeling a wide range of frequencies and scenarios. This paper provides a comprehensive tutorial on generating drop-based and spatial consistency-based channels using the open-source MATLAB-based NYU Channel Model Simulator (NYUSIM). NYUSIM is built on extensive real-world radio propagation measurements for the frequency range of 0.5-150 GHz, covering a variety of scenarios such as Urban Microcell (UMi), Urban Macrocell (UMa), Rural Macrocell (RMa), Indoor Hotspot (InH), and Indoor Factory (InF). Additionally, an overview of the evolution of simulators used to design and analyze wireless systems since the early days of cellular communication is also provided. We introduce the most popular types of simulators used in academia and industry, such as Channel Simulators (CSs), Link Level Simulators (LLSs), System Level Simulators (SLSs), and Network Simulators (NSs), to study wireless communication systems for 5G and beyond. Owing to the widespread adoption of the 3rd Generation Partnership Project (3GPP) Stochastic Channel Model (SCM) for channel generation in various simulators, we conduct a comparative analysis between the 3GPP SCM and NYUSIM channel model to highlight their differences. Moreover, NYUSIM's versatility extends beyond its MATLAB implementation, as it can be implemented in various LLSs, SLSs, and NSs, enabling researchers to incorporate realworld measurement-based channels into their simulations. To illustrate this capability, we showcase NYUSIM's implementation in ns-3, a widely used open-source discrete event network simulator. Additionally, we provide several applications of NYUSIM to highlight its potential uses.

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Analysis of Outdoor to Indoor Penetration Loss for mmWave Channels

Cited by 12 publications

References 9 publications

Cellular Wireless Networks in the Upper Mid-Band

Cellular Wireless Networks in the Upper Mid-Band

Investigating UAV-Based Applications in Indoor–Outdoor Sports Stadiums and Open-Air Gatherings for Different Interference Conditions beyond 5G Networks

A Tutorial on NYUSIM: Sub-Terahertz and Millimeter-Wave Channel Simulator for 5G, 6G, and Beyond

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