Beyond the Blue Sky of Multimodal Interaction: A Centennial Vision of Interplanetary Virtual Spaces in Turn-based Metaverse

Lee, Lik-Hang; Fernandez, Carlos Bermejo; Alhilal, Ahmad; Braud, Tristan; Hosio, Simo; Haas, Esmée Henrieke Anne de; Hui, Pan

doi:10.1145/3536221.3558174

Cited by 10 publications

(12 citation statements)

References 11 publications

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“…In September 2021 Tencent requested the registration of the "King Metaverse" and "TiMi Metaverse" trademarks. The regulations that will regulate the Metaverse and let it smoothly meld into our lives are still being developed [85].…”

Section: Tencentmentioning

confidence: 99%

Metaverse: Fission the architecture

Asif Zaman,

Mushfiqur Rahman Abir,

Md. Asgor Hossain Reaj

et al. 2024

Int. J. Sci. Res. Arch.

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Modern technology comes with new opportunities and difficulties since it is constantly evolving. The technology that has generated the utmost buzz and intrigue in recent years is Metaverse. Although Metaverse is not an entirely new word, it has attracted more attention because Facebook changed its name to Meta. However, despite the enormous interest and prospects, it still needs to be determined how ethical issues will be addressed and how users' privacy will be protected in the Metaverse system. Furthermore, the Metaverse system must earn the confidence and acceptance of its user by fulfilling the main criteria of Trustworthy AI. Therefore, this paper focused on making the Metaverse system trustworthy. This paper covered Metaverse's history, essential elements, the current business market, future opportunities, and challenges. Further, the manuscript discussed the pillars of trustworthy AI, its factors, and the way of trustworthiness. Finally, the paper combined these concepts and identified elements contributing to Metaverse's credibility.

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Section: Tencentmentioning

confidence: 99%

Metaverse: Fission the architecture

Asif Zaman,

Mushfiqur Rahman Abir,

Md. Asgor Hossain Reaj

et al. 2024

Int. J. Sci. Res. Arch.

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“…Other applications include space exploration where NTNs play a vital role in establishing connection to investigate the universe beyond Earth's atmosphere. [197] recently proposed the need of non terrestrial wireless communication and social connection between planets in the virtual world. The paper illustrates a vision of an interplanetary Metaverse that connects Earthian and Martian users in Metaverse.…”

Section: B Metaverse Realitymentioning

confidence: 99%

Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-Based Communications

et al. 2023

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Non terrestrial networks (NTN) involving 'in the sky' objects such as low-earth orbit satellites, high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected to be integral components of next generation cellular systems. With the deployment of 5G services and beyond, NTNs are leveraged to assist as aerial base stations in providing ubiquitous network connectivity and service to ground users or be deployed as aerial users connected to the cellular network. NTN-aided wireless communication offers multiple benefits such as mobility, flexibility, resistance to ground physical attacks and wide coverage. However, due to their limited resources and the current design of terrestrial cellular systems that do not account for aerial users, and other restrictions such as service requirements, limited available power and storage resources on high-throughput satellites, resource allocation, location of the high altitude platform base station and the flight trajectory of the UAVs need to be intelligently controlled to satisfy various objectives both from an aerial base station and overall network perspectives. To achieve this, many works have explored Reinforcement Learning (RL) techniques to allow aerial platforms in non-terrestrial networks to learn from past observations and achieve some optimal control policy. In this paper and differently from prior surveys, we contribute a comprehensive review of the control objectives required by non-terrestrial platforms that have been solved using RL formulations. We provide an up-to-date overview of the latest applications of RL techniques for different NTN-aided wireless communication aspects. The survey focuses on Markov Decision Process (MDP) formulations in terms of states, actions, and rewards. We synthesize a taxonomy from the surveyed literature and provide a comprehensive representation of the current usages of RL in NTN-aided wireless communications. A qualitative analysis of the level of realism achieved in the works presented in the literature is provided based on several factors that pertain to the simulation environment, station deployment setting, wireless channel assumption, and energy considerations. We also curate a list of challenges that remain to be considered by the research community in order to achieve more efficient deployments and close the simulation-to-reality gap.

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“…In the context of metaverse VR applications, apart from many studies on its enabling technologies [18,27,38,48] such as AR/VR [1,24,26,29,30,34,42], motion sensing [3], and platform governance [9,10,19], their architectural problems and scalability issues to be solved by metaverse developers (e.g., bandwidth consumptions with increasing number of users, CPU/GPU utilization of terminal device, and rendering cost of user avatars) have been studied in [13,14]. The authors of [14] have also pointed out that one critical scalability issue that could be solved by changing the operational architecture of metaverses is that the consumptions of user bandwidth and CPU/GPU resources currently depend on the number of active users, thus, can introduce high overhead on the VR headset -one potential solution is remote rendering, i.e., rendering application graphics on the cloud server instead of on user VR devices.…”

Section: Related Workmentioning

confidence: 99%

MetaVRadar: Measuring Metaverse Virtual Reality Network Activity

Lyu,

Tripathi,

Sivaraman

2023

Proc. ACM Meas. Anal. Comput. Syst.

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The "metaverse", wherein users can enter virtual worlds to work, study, play, shop, socialize, and entertain, is fast becoming a reality, attracting billions of dollars in investment from companies such as Meta, Microsoft, and Clipo Labs. Further, virtual reality (VR) headsets from entities like Oculus, HTC, and Microsoft are rapidly maturing to provide fully immersive experiences to metaverse users. However, little is known about the network dynamics of metaverse VR applications in terms of service domains, flow counts, traffic rates and volumes, content location and latency, etc., which are needed to make telecommunications network infrastructure "metaverse ready" to support superlative user experience in the coming future. This paper is an empirical measurement study of metaverse VR network behavior aimed at helping telecommunications network operators better provision and manage the network to ensure good user experience. Using illustrative hour-long network traces of metaverse sessions on the Oculus VR headset, we first develop a categorization of user activity into distinct states ranging from login home to streetwalking and event attendance to asset trading, and undertake a detailed analysis of network traffic per state, identifying unique service domains, protocols, flow profiles, and volumetric patterns, thereby highlighting the vastly more complex nature of a metaverse session compared to streaming video or gaming. Armed with the network behavioral profiles, our second contribution develops a real-time methodMetaVRadar to detect metaverse session and classify the user activity state leveraging formalized flow signatures and volumetric attributes. Our third contribution practically implementsMetaVRadar, evaluates its accuracy in our lab environment, and demonstrates its usability in a large university network so operators can better monitor and plan resources to support requisite metaverse user experience.

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Beyond the Blue Sky of Multimodal Interaction: A Centennial Vision of Interplanetary Virtual Spaces in Turn-based Metaverse

Cited by 10 publications

References 11 publications

Metaverse: Fission the architecture

Metaverse: Fission the architecture

Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-Based Communications

MetaVRadar: Measuring Metaverse Virtual Reality Network Activity

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