Performance Scaling of mmWave Personal IoT Networks (PINs) for XR Applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU150978" target="_blank" >RIV/00216305:26220/23:PU150978 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10283621" target="_blank" >https://ieeexplore.ieee.org/document/10283621</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCWorkshops57953.2023.10283621" target="_blank" >10.1109/ICCWorkshops57953.2023.10283621</a>
Alternative languages
Result language
angličtina
Original language name
Performance Scaling of mmWave Personal IoT Networks (PINs) for XR Applications
Original language description
To provide a high-quality user experience in Extended Reality (XR) applications, high-throughput and low-latency communication is essential. A promising solution is the use of distributed networks operating in the higher frequency bands, such as millimeter-wave (mmWave) wearable Personal IoT Networks (PINs). However, in crowded environments, intra-network interactions can disrupt the Quality of Experience (QoE) for users. To improve the QoE, the understanding of the system-level performance trade-offs in these networks is important. This paper investigates the impact of various system parameters on the system-level performance of mmWave wearable PINs with 3D beamforming and data rate adaptation to the channel conditions in an environment with human body blockage. We employ an analytical methodology that combines stochastic geometry and queueing theory to devise an expression for the stationary distribution of the system and use it to compute the key metrics that describe the system-level performance. To assess mmWave PINs for XR in crowded environments, we examine the system operation trade-offs and explore the performance scaling.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023
ISBN
979-8-3503-3307-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1136-1142
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
neuveden
Event location
Roma
Event date
May 28, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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