Summary of Multi-attribute Auction-based Resource Allocation For Twins Migration in Vehicular Metaverses: a Gpt-based Drl Approach, by Yongju Tong et al.
Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach
by Yongju Tong, Junlong Chen, Minrui Xu, Jiawen Kang, Zehui Xiong, Dusit Niyato, Chau Yuen, Zhu Han
First submitted to arxiv on: 8 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Networking and Internet Architecture (cs.NI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes an attribute-aware auction-based mechanism to optimize resource allocation during Vehicle Twins (VTs) migration in Vehicular Metaverses. To address the issues of intensive computation, communication, and storage resources required for VTs updating and high mobility of vehicles, the proposed mechanism considers both price and non-monetary attributes, such as location and reputation. The mechanism consists of a two-stage matching process: first, a resource attributes matching algorithm obtains a perfect matching between buyers and sellers, and then an auctioneer is trained using a generative pre-trained transformer (GPT)-based deep reinforcement learning (DRL) algorithm to adjust the auction clocks efficiently during the auction process. The performance of social welfare and auction information exchange costs are compared with state-of-the-art baselines under different settings, showing that the proposed GPT-based DRL auction schemes have better performance. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about making a special kind of virtual world for cars and roads to connect and work together safely and efficiently. It’s like a big video game! To make this happen, they need to solve some tricky problems with computers, communication, and storage. They came up with an idea that uses auctions to decide how to use these resources in the best way possible. The auction is controlled by a special computer program that learns from experience and makes smart decisions. |
Keywords
» Artificial intelligence » Gpt » Reinforcement learning » Transformer
