Location-dependent augmented reality Services in wireless edge-enabled metaverse systems
Metaverse is envisioned as the next-generation paradigm that links a virtual world to the physical world, providing immersive experience for human activities in the hypothetical environment with augmented reality (AR) and virtual reality (VR) technology. Recent development of wireless multiaccess ed...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/170299 |
| _version_ | 1826112664419434496 |
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| author | Zhang, Hongliang Mao, Shiwen Niyato, Dusit Han, Zhu |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Zhang, Hongliang Mao, Shiwen Niyato, Dusit Han, Zhu |
| author_sort | Zhang, Hongliang |
| collection | NTU |
| description | Metaverse is envisioned as the next-generation paradigm that links a virtual world to the physical world, providing immersive experience for human activities in the hypothetical environment with augmented reality (AR) and virtual reality (VR) technology. Recent development of wireless multiaccess edge computing (MEC) has accelerated the realization of this vision. In this paper, we consider location-dependent AR services in MEC-enabled Metaverse systems. In such a system, each user performs simultaneous localization and communication first to estimate its position and request AR contents from the MEC server. Due to limited computation and communication resources, the MEC server adaptively adjusts the resolution of AR contents. However, two challenges arise in such a system. First, the localization error will degrade the user's quality-of-experience (QoE); and second, the coupling of communication and computation complicates the resource management. To address these issues, we first model the QoE taking the localization errors into consideration, and then propose a minimum QoE maximization scheme to achieve fairness among users by jointly optimizing the waveform at users, the transmit power at the base station (BS), and the resolution of transmitted videos. Simulation results verify the effectiveness of the proposed scheme in comparison with benchmark schemes. |
| first_indexed | 2024-10-01T03:10:48Z |
| format | Journal Article |
| id | ntu-10356/170299 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:10:48Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1702992023-09-08T15:35:36Z Location-dependent augmented reality Services in wireless edge-enabled metaverse systems Zhang, Hongliang Mao, Shiwen Niyato, Dusit Han, Zhu School of Computer Science and Engineering Engineering::Computer science and engineering Wireless Communication Estimation Error Metaverse is envisioned as the next-generation paradigm that links a virtual world to the physical world, providing immersive experience for human activities in the hypothetical environment with augmented reality (AR) and virtual reality (VR) technology. Recent development of wireless multiaccess edge computing (MEC) has accelerated the realization of this vision. In this paper, we consider location-dependent AR services in MEC-enabled Metaverse systems. In such a system, each user performs simultaneous localization and communication first to estimate its position and request AR contents from the MEC server. Due to limited computation and communication resources, the MEC server adaptively adjusts the resolution of AR contents. However, two challenges arise in such a system. First, the localization error will degrade the user's quality-of-experience (QoE); and second, the coupling of communication and computation complicates the resource management. To address these issues, we first model the QoE taking the localization errors into consideration, and then propose a minimum QoE maximization scheme to achieve fairness among users by jointly optimizing the waveform at users, the transmit power at the base station (BS), and the resolution of transmitted videos. Simulation results verify the effectiveness of the proposed scheme in comparison with benchmark schemes. AI Singapore National Research Foundation (NRF) Published version This work was supported in part by NSF under Grant CNS-2148382, Grant CNS-2107216, Grant CNS-2128368, Grant CMMI-2222810; in part by Toyota; in part by Amazon; in part by the State Key Laboratory of Advanced Optical Communication Systems Networks, China; in part by the National Research Foundation (NRF), in part by the Singapore and Infocomm Media Development Authority through the Future Communications Research Development Programme (FCP); and in part by the DSO National Laboratories through the AI Singapore Programme (AISG) under Award AISG2-RP-2020-019. 2023-09-06T02:44:03Z 2023-09-06T02:44:03Z 2023 Journal Article Zhang, H., Mao, S., Niyato, D. & Han, Z. (2023). Location-dependent augmented reality Services in wireless edge-enabled metaverse systems. IEEE Open Journal of the Communications Society, 4, 171-183. https://dx.doi.org/10.1109/OJCOMS.2023.3234254 2644-125X https://hdl.handle.net/10356/170299 10.1109/OJCOMS.2023.3234254 2-s2.0-85147211605 4 171 183 en AISG2-RP-2020-019 IEEE Open Journal of the Communications Society © 2023 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. application/pdf |
| spellingShingle | Engineering::Computer science and engineering Wireless Communication Estimation Error Zhang, Hongliang Mao, Shiwen Niyato, Dusit Han, Zhu Location-dependent augmented reality Services in wireless edge-enabled metaverse systems |
| title | Location-dependent augmented reality Services in wireless edge-enabled metaverse systems |
| title_full | Location-dependent augmented reality Services in wireless edge-enabled metaverse systems |
| title_fullStr | Location-dependent augmented reality Services in wireless edge-enabled metaverse systems |
| title_full_unstemmed | Location-dependent augmented reality Services in wireless edge-enabled metaverse systems |
| title_short | Location-dependent augmented reality Services in wireless edge-enabled metaverse systems |
| title_sort | location dependent augmented reality services in wireless edge enabled metaverse systems |
| topic | Engineering::Computer science and engineering Wireless Communication Estimation Error |
| url | https://hdl.handle.net/10356/170299 |
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