The concept of the Metaverse has garnered growing interest from both academic and industry circles. The decentralization of both the integrity and security of digital items has spurred the popularity of play-to-earn (P2E) games, where players are entitled to earn and own digital assets which they may trade for physical-world currencies. However, these computationally-intensive games are hardly playable on resource-limited mobile devices and the computational tasks have to be offloaded to an edge server. Through mobile edge computing (MEC), users can upload data to the Metaverse Service Provider (MSP) edge servers for computing. Nevertheless, there is a trade-off between user-perceived in-game latency and user visual experience. The downlink transmission of lower-resolution videos lowers user-perceived latency while lowering the visual fidelity and consequently, earnings of users. In this paper, we design a method to enhance the Metaverse-based mobile augmented reality (MAR) in-game user experience. Specifically, we formulate and solve a multi-objective optimization problem. Given the inherent NP-hardness of the problem, we present a low-complexity algorithm to address it, mitigating the trade-off between delay and earnings. The experiment results show that our method can effectively balance the user-perceived latency and profitability, thus improving the performance of Metaverse-based MAR systems.

翻译：元宇宙概念在学术界和工业界均引起了日益浓厚的兴趣。数字物品的完整性与安全性的去中心化特性，促进了“边玩边赚”（P2E）游戏的普及——玩家有权获取并拥有数字资产，并可将其兑换为现实世界货币。然而，这些计算密集型游戏在资源受限的移动设备上难以流畅运行，计算任务必须卸载至边缘服务器。通过移动边缘计算（MEC），用户可将数据上传至元宇宙服务提供商（MSP）的边缘服务器进行计算。但用户感知的游戏内延迟与视觉体验之间存在权衡：低分辨率视频的下行传输虽能降低用户感知延迟，却会降低视觉保真度，进而影响用户收益。本文设计了一种增强基于元宇宙的移动增强现实（MAR）游戏内用户体验的方法。具体而言，我们构建并求解了一个多目标优化问题。鉴于该问题固有的NP难解性，提出了一种低复杂度算法以缓解延迟与收益之间的权衡。实验结果表明，该方法能有效平衡用户感知延迟与盈利能力，从而提升基于元宇宙的MAR系统性能。