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Title: Economics of semantic communication system: an auction approach
Authors: Liew, Zi Qin
Du, Hongyang
Lim, Bryan Wei Yang
Xiong, Zehui
Niyato, Dusit
Miao, Chunyan
Kim, Dong In
Keywords: Engineering::Computer science and engineering
Issue Date: 2023
Source: Liew, Z. Q., Du, H., Lim, B. W. Y., Xiong, Z., Niyato, D., Miao, C. & Kim, D. I. (2023). Economics of semantic communication system: an auction approach. IEEE Transactions On Vehicular Technology, 1-16.
Project: AISG2-RP-2020-019 
SUTD SRG-ISTD-2021-165 
SUTD-ZJU (VP) 202102 
SKI 20210204
Journal: IEEE Transactions on Vehicular Technology
Abstract: Semantic communication technologies enable wireless edge devices to communicate effectively by transmitting semantic meanings 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 to achieve higher utilities than the baseline method.
ISSN: 0018-9545
DOI: 10.1109/TVT.2023.3278467
Schools: School of Computer Science and Engineering 
Interdisciplinary Graduate School (IGS) 
Research Centres: Alibaba-NTU Singapore Joint Research Institute
Energy Research Institute @ NTU (ERI@N) 
Rights: © 2023 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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