Economics of Semantic Communication System: An Auction Approach

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 both types of the trades, effective incentive mechanisms should be designed. Thus, in this paper, we propose a hierarchical trading system to support both semantic model trading and semantic information trading jointly. The proposed incentive mechanism helps to maximize the revenue of semantic model providers in the semantic model trading, and effectively incentivizes model providers to participate in the development of semantic communication systems. For semantic information trading, our designed auction approach can support the trading between multiple semantic information sellers and buyers, while ensuring individual rationality, incentive compatibility, and budget balance, and moreover, allowing them achieve higher utilities than the baseline method.