Economics of Semantic Communication System: An Auction Approach
Zi Qin Liew, Hongyang Du, Wei Yang Bryan Lim, Zehui Xiong, Dusit, Niyato, Chunyan Miao, Dong In Kim

TL;DR
This paper proposes a hierarchical auction-based incentive mechanism for semantic model and information trading in semantic communication systems, enhancing revenue and utility for providers and participants.
Contribution
It introduces a joint trading system with an auction approach that ensures incentive compatibility, individual rationality, and improved utilities for all parties involved.
Findings
The auction mechanism supports multiple buyers and sellers effectively.
It maximizes revenue for semantic model providers.
Participants achieve higher utilities than baseline methods.
Abstract
Semantic communication technologies enable wireless edge devices to communicate effectively by transmitting semantic meaning of data. Edge components, such as vehicles in next-generation intelligent transport systems, use well-trained semantic models to encode and decode semantic information extracted from raw and sensor data. However, the limitation in computing resources makes it difficult to support the training process of accurate semantic models on edge devices. As such, edge devices can buy the pretrained semantic models from semantic model providers, which is called "semantic model trading". Upon collecting semantic information with the semantic models, the edge devices can then sell the extracted semantic information, e.g., information about urban road conditions or traffic signs, to the interested buyers for profit, which is called "semantic information trading". To facilitate…
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Auction Theory and Applications · Mobile Crowdsensing and Crowdsourcing
