Semantic Communication for the Internet of Sounds: Architecture, Design Principles, and Challenges

Bibliographic Details
Title: Semantic Communication for the Internet of Sounds: Architecture, Design Principles, and Challenges
Authors: Liang, Chengsi, Sun, Yao, Thomas, Christo Kurisummoottil, Mohjazi, Lina, Saad, Walid
Source: IEEE Wireless Communications. 32:188-195
Publication Status: Preprint
Publisher Information: Institute of Electrical and Electronics Engineers (IEEE), 2025.
Publication Year: 2025
Subject Terms: Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Audio and Speech Processing
Description: The Internet of Sounds (IoS) combines sound sensing, processing, and transmission techniques, enabling collaboration among diverse sound devices. To achieve perceptual quality of sound synchronization in the IoS, it is necessary to precisely synchronize three critical factors: sound quality, timing, and behavior control. However, conventional bit-oriented communication, which focuses on bit reproduction, may not be able to fulfill these synchronization requirements under dynamic channel conditions. One promising approach to address the synchronization challenges of the IoS is through the use of semantic communication (SC) that can capture and leverage the logical relationships in its source data. Consequently, in this paper, we propose an IoS-centric SC framework with a transceiver design. The designed encoder extracts semantic information from diverse sources and transmits it to IoS listeners. It can also distill important semantic information to reduce transmission latency for timing synchronization. At the receiver's end, the decoder employs context- and knowledge-based reasoning techniques to reconstruct and integrate sounds, which achieves sound quality synchronization across diverse communication environments. Moreover, by periodically sharing knowledge, SC models of IoS devices can be updated to optimize their synchronization behavior. Finally, we explore several open issues on mathematical models, resource allocation, and cross-layer protocols.
Document Type: Article
ISSN: 1558-0687
1536-1284
DOI: 10.1109/mwc.013.2400344
DOI: 10.48550/arxiv.2407.12203
Access URL: http://arxiv.org/abs/2407.12203
Rights: IEEE Copyright
arXiv Non-Exclusive Distribution
Accession Number: edsair.doi.dedup.....ca379cc1d4b18d5a51e8f70a9368e2b2
Database: OpenAIRE
Description
ISSN:15580687
15361284
DOI:10.1109/mwc.013.2400344