Modelování výkonu směrových bezdrátových sítí pro aplikace rozšířené reality
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Ali, Asad
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Mark
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Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Abstract
Human interaction with digital content has traditionally relied on flat-screen devices such as smartphones, tablets, and laptops. However, a significant shift is occurring as users increasingly engage with 3D digital content in an immersive viewing experience with six degrees of freedom (6DoF). Advanced wearable devices, such as Extended Reality (XR) headsets, are projected to eventually replace conventional personal computing devices like smartphones. To realize the full potential of XR, these headsets need to be sleek and lightweight while delivering high-fidelity digital content with minimal motion-to-photon (M2P) delay. Achieving this balance will require offloading processing tasks to network edge servers or more powerful companion devices like smartphones. XR applications are inherently data-intensive, demanding low M2P delays, high frame rates, and high-resolution graphics. These requirements necessitate high data rate connections, ultra-low over-the-air latency, and exceptional reliability. To meet these demands, wireless communication is shifting from traditional microwave frequency bands to higher-capacity mmWave bands, which offer the bandwidth needed for high data rates and low latency. However, communication in the mmWave band suffers from high propagation loss, which can be mitigated through beamforming to focus signals in specific directions. This approach, while crucial for maintaining signal strength, is susceptible to misalignment when antenna arrays move. Additionally, offloading processing tasks to smartphones or other companion devices in dense network scenarios is challenging, as each user effectively creates a personal network, increasing the potential for interference. This interference risk, along with the potential for misalignment in mmWave communications due to user mobility, highlights the challenges involved in achieving robust and reliable XR connectivity. This thesis investigates the complexities of wireless networks in XR applications, focusing on the challenges associated with highly directional mmWave communication, user mobility, beam misalignment, and interference. To study these issues, performance evaluation frameworks are developed to understand the effects of beam misalignment, user mobility, and interference. Using these frameworks, the aim is to analyze and improve network behavior under different conditions and system parameters. Furthermore, user mobility data during XR use is collected, and this data is used to study the impact of user mobility during highly directional communication for XR. The main contributions of this thesis include the development of a flexible system-level performance evaluation framework for wearables, which captures the influence of interference using queueing theory and stochastic geometry. This thesis provides both theoretical and practical contributions to enhance the robustness and efficiency of XR services. The research presents approaches that can increase data rates, reduce power consumption, and enhance reliability. By exploring highly directional communication for different network topologies, strategies are suggested to improve the reliability and efficiency of wireless communication in complex settings. The insights gained from this work can lead to significant improvements in highly directional communication for XR, guiding future technological advancements in the field.
Human interaction with digital content has traditionally relied on flat-screen devices such as smartphones, tablets, and laptops. However, a significant shift is occurring as users increasingly engage with 3D digital content in an immersive viewing experience with six degrees of freedom (6DoF). Advanced wearable devices, such as Extended Reality (XR) headsets, are projected to eventually replace conventional personal computing devices like smartphones. To realize the full potential of XR, these headsets need to be sleek and lightweight while delivering high-fidelity digital content with minimal motion-to-photon (M2P) delay. Achieving this balance will require offloading processing tasks to network edge servers or more powerful companion devices like smartphones. XR applications are inherently data-intensive, demanding low M2P delays, high frame rates, and high-resolution graphics. These requirements necessitate high data rate connections, ultra-low over-the-air latency, and exceptional reliability. To meet these demands, wireless communication is shifting from traditional microwave frequency bands to higher-capacity mmWave bands, which offer the bandwidth needed for high data rates and low latency. However, communication in the mmWave band suffers from high propagation loss, which can be mitigated through beamforming to focus signals in specific directions. This approach, while crucial for maintaining signal strength, is susceptible to misalignment when antenna arrays move. Additionally, offloading processing tasks to smartphones or other companion devices in dense network scenarios is challenging, as each user effectively creates a personal network, increasing the potential for interference. This interference risk, along with the potential for misalignment in mmWave communications due to user mobility, highlights the challenges involved in achieving robust and reliable XR connectivity. This thesis investigates the complexities of wireless networks in XR applications, focusing on the challenges associated with highly directional mmWave communication, user mobility, beam misalignment, and interference. To study these issues, performance evaluation frameworks are developed to understand the effects of beam misalignment, user mobility, and interference. Using these frameworks, the aim is to analyze and improve network behavior under different conditions and system parameters. Furthermore, user mobility data during XR use is collected, and this data is used to study the impact of user mobility during highly directional communication for XR. The main contributions of this thesis include the development of a flexible system-level performance evaluation framework for wearables, which captures the influence of interference using queueing theory and stochastic geometry. This thesis provides both theoretical and practical contributions to enhance the robustness and efficiency of XR services. The research presents approaches that can increase data rates, reduce power consumption, and enhance reliability. By exploring highly directional communication for different network topologies, strategies are suggested to improve the reliability and efficiency of wireless communication in complex settings. The insights gained from this work can lead to significant improvements in highly directional communication for XR, guiding future technological advancements in the field.
Human interaction with digital content has traditionally relied on flat-screen devices such as smartphones, tablets, and laptops. However, a significant shift is occurring as users increasingly engage with 3D digital content in an immersive viewing experience with six degrees of freedom (6DoF). Advanced wearable devices, such as Extended Reality (XR) headsets, are projected to eventually replace conventional personal computing devices like smartphones. To realize the full potential of XR, these headsets need to be sleek and lightweight while delivering high-fidelity digital content with minimal motion-to-photon (M2P) delay. Achieving this balance will require offloading processing tasks to network edge servers or more powerful companion devices like smartphones. XR applications are inherently data-intensive, demanding low M2P delays, high frame rates, and high-resolution graphics. These requirements necessitate high data rate connections, ultra-low over-the-air latency, and exceptional reliability. To meet these demands, wireless communication is shifting from traditional microwave frequency bands to higher-capacity mmWave bands, which offer the bandwidth needed for high data rates and low latency. However, communication in the mmWave band suffers from high propagation loss, which can be mitigated through beamforming to focus signals in specific directions. This approach, while crucial for maintaining signal strength, is susceptible to misalignment when antenna arrays move. Additionally, offloading processing tasks to smartphones or other companion devices in dense network scenarios is challenging, as each user effectively creates a personal network, increasing the potential for interference. This interference risk, along with the potential for misalignment in mmWave communications due to user mobility, highlights the challenges involved in achieving robust and reliable XR connectivity. This thesis investigates the complexities of wireless networks in XR applications, focusing on the challenges associated with highly directional mmWave communication, user mobility, beam misalignment, and interference. To study these issues, performance evaluation frameworks are developed to understand the effects of beam misalignment, user mobility, and interference. Using these frameworks, the aim is to analyze and improve network behavior under different conditions and system parameters. Furthermore, user mobility data during XR use is collected, and this data is used to study the impact of user mobility during highly directional communication for XR. The main contributions of this thesis include the development of a flexible system-level performance evaluation framework for wearables, which captures the influence of interference using queueing theory and stochastic geometry. This thesis provides both theoretical and practical contributions to enhance the robustness and efficiency of XR services. The research presents approaches that can increase data rates, reduce power consumption, and enhance reliability. By exploring highly directional communication for different network topologies, strategies are suggested to improve the reliability and efficiency of wireless communication in complex settings. The insights gained from this work can lead to significant improvements in highly directional communication for XR, guiding future technological advancements in the field.
Description
Citation
ALI, A. Modelování výkonu směrových bezdrátových sítí pro aplikace rozšířené reality [online]. Brno: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. 2024.
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Document version
Date of access to the full text
Language of document
en
Study field
bez specializace
Comittee
Prof. Ekram Hossain, University of Manitoba (předseda)
Prof. Periklis Chatzimisios, International Hellenic University (člen)
Assist. Prof. Nitin Jonathan Myers, Delft University of Technology (člen)
Prof. Elena-Simona Lohan, Tampere University (člen)
Prof. Mikko Valkama, Tampere University (člen)
Prof. Sergey Andreev, Tampere University (člen)
Assoc. Prof. Jiri Hosek, Brno University of Technology (člen)
Dr. Olga Galinina, Tampere University (člen)
Date of acceptance
2024-12-04
Defence
During the public defense, the candidate was able to answer the questions satisfactorily. Overall, it is given the thesis a pass grade.
Result of defence
práce byla úspěšně obhájena
Document licence
Standardní licenční smlouva - přístup k plnému textu bez omezení