On-device computational caching-enabled augmented reality for 5G and beyond: A contract-theory-based incentive mechanism

Dang, Tri Nguyen; Kim, Kitae; Khan, Latif U.; Kazmi, S. M. Ahsan; Han, Zhu; Hong, Choong Seon

Abstract

Recently, we have witnessed an increasing demand in augmented reality (AR)-based fifth-generation (5G) and beyond applications, such as smart gaming, smart navigation, smart military wearable, and smart industries. These AR-based applications require on-demand computational and caching resources with low latency that can be provided via multiaccess edge computing (MEC) server. However, due to the massive growth of AR-enabled devices, the MEC server resources might be insufficient. To overcome this challenge, we can utilize the computational and caching resources of user equipment (UE) to serve the other UEs in its close vicinity. Successfully enabling such interaction among devices requires an attractive incentive mechanism. Therefore, we propose a contract theory-based incentive mechanism for enabling on-device caching for AR-based applications. In our approach, the MEC offers a reward to the UE for providing its resources (i.e., storage capacity, power, etc.). Furthermore, under the information asymmetry problem, we derive an optimal mechanism via the contract theory for enabling on-device caching subject to the individual rationality and incentive-compatible constraints. Finally, we perform numerical evaluations to validate the effectiveness of our proposed scheme.

• Journal Article Type: Article
• Acceptance Date: Nov 15, 2021
• Online Publication Date: May 17, 2021
• Publication Date: Dec 15, 2021
• Deposit Date: Jun 24, 2023
• Journal: IEEE Internet of Things Journal
• Electronic ISSN: 2327-4662
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 24
• Pages: 17382-17394
• DOI: https://doi.org/10.1109/JIOT.2021.3080709
• Keywords: Augmented reality (AR), computational caching, contract theory
• Public URL: https://uwe-repository.worktribe.com/output/10582724
• Publisher URL: https://ieeexplore.ieee.org/document/9432410