A survey of domain generalization in AI-enabled semantic communication: Architecture, challenges and future opportunities

IF 2.2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-09-24 DOI:10.1016/j.phycom.2025.102857

Muhammad Furqan Zia , Messaoud Ahmed Ouameur , Miloud Bagaa , Daniel Massicotte , Adlen Ksentini

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引用次数: 0

Abstract

The growing integration of artificial intelligence (AI) into wireless communication systems is driving a shift toward semantic communication, an emerging paradigm that prioritizes the exchange of meaning over raw data. However, semantic communication systems face major challenges when deployed across diverse and unseen domains due to variations in language, context, and channel conditions. This survey provides a comprehensive overview of Domain Generalization (DG) as a key enabler for improving the robustness and adaptability of AI-enabled semantic communication. We explore the types of domain shifts and review the latest DG techniques applicable to semantic communication. Additionally, the paper discusses architectural considerations and real world applications across varied wireless scenarios. Unlike prior works, this survey brings together DG strategies specifically within the context of semantic communication, identifying open challenges and future research directions such as scalable adaptation, resource efficient deployment, and resilience in dynamic environments. It aims to serve as a timely resource for researchers and practitioners working to develop reliable, generalizable communication systems for next generation networks.

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人工智能语义通信领域泛化研究：架构、挑战和未来机遇

人工智能（AI）与无线通信系统的日益集成正在推动向语义通信的转变，这是一种新兴的范式，优先考虑意义交换而不是原始数据。然而，由于语言、上下文和信道条件的变化，语义通信系统在跨各种未知领域部署时面临重大挑战。本调查提供了领域泛化（DG）作为提高人工智能语义通信的鲁棒性和适应性的关键推动者的全面概述。我们探讨了领域转移的类型，并回顾了适用于语义通信的最新DG技术。此外，本文还讨论了各种无线场景中的架构考虑和实际应用。与之前的工作不同，本调查将语义通信背景下的DG策略结合在一起，确定了开放的挑战和未来的研究方向，如可扩展的适应、资源高效部署和动态环境中的弹性。它旨在为研究人员和从业者提供及时的资源，为下一代网络开发可靠的、通用的通信系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.