Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality

Abstract

In the vehicular mixed reality (MR) Metaverse, the distance between physical and virtual entities can be overcome by fusing the physical and virtual environments with multidimensional communications in autonomous driving systems. Assisted by digital twin (DT) technologies, connected autonomous vehicles (AVs), roadside units (RSU), and virtual simulators can maintain the vehicular MR Metaverse via digital simulations for sharing data and making driving decisions collaboratively. However, large-scale traffic and driving simulation via realistic data collection and fusion from the physical world for online prediction and offline training in autonomous driving systems are difficult and costly. In this paper, we propose an autonomous driving architecture, where generative AI is leveraged to synthesize unlimited conditioned traffic and driving data in simulations for improving driving safety and traffic efficiency. First, we propose a multi-task DT offloading model for the reliable execution of heterogeneous DT tasks with different requirements at RSUs. Then, based on the preferences of AV's DTs and collected realistic data, virtual simulators can synthesize unlimited conditioned driving and traffic datasets to further improve robustness. Finally, we propose a multi-task enhanced auction-based mechanism to provide fine-grained incentives for RSUs in providing resources for autonomous driving. The property analysis and experimental results demonstrate that the proposed mechanism and architecture are strategy-proof and effective, respectively.

Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality

“…For instance, [28] and [29] are about the application of FL to the industrial Metaverse. [30] stands in the perspective of economics to assess and improve VR services for the Metaverse. [31] studies the resource allocation problem in a Metaverse MAR service model.…”

Location-Dependent Augmented Reality Services in Wireless Edge-Enabled Metaverse Systems

“…In the literature, there are a few studies working on the wireless MEC-enabled Metaverse [9], [10] or AR applications [11]- [14]. In [9], an advertising strategy was studied for VR content transmission in the wireless MEC-enabled Metaverse from the perspective of preserving privacy.…”

“…In [9], an advertising strategy was studied for VR content transmission in the wireless MEC-enabled Metaverse from the perspective of preserving privacy. In [10], a learning-based incentive mechanism was proposed for trading VR services between users and providers in the wireless MEC-enabled Metaverse. These two works considered VR services without physical location information, and thus cannot be applied to the AR services considered in this paper.…”

Research on university teaching in Metaverse era from the perspective of interactive ritual chain

“…The Metaverse is regarded as the next-generation Internet paradigm that allows humans to play, work, learn, and socialize in an alternative virtual world with immersive experience [1]. With the detonation of the concept of the Metaverse, countries, companies, organizations and individuals all over the world acted quickly.…”