A Paradigm Shift toward Semantic Communications

Article Computer Science, Hardware & Architecture

Semantic Communications: Overview, Open Issues, and Future Research Directions

Xuewen Luo et al.

Summary: This article provides an overview of the latest deep learning and end-to-end communication-based semantic communications, and discusses the open issues that need to be addressed.

IEEE WIRELESS COMMUNICATIONS (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

Toward Wisdom-Evolutionary and Primitive-Concise 6G: A New Paradigm of Semantic Communication Networks

Ping Zhang et al.

Summary: The sixth generation (6G) mobile networks will reshape the world by offering instant, efficient, and intelligent hyper-connectivity. To achieve this vision, a new route towards wisdom-evolutionary and primitive-concise network (WePCN) is proposed, which involves semantic representation frameworks and intelligent semantic communication architectures.

ENGINEERING (2022)

添加到收藏夹

Article Engineering, Electrical & Electronic

Nonlinear Transform Source-Channel Coding for Semantic Communications

Jincheng Dai et al.

Summary: This paper proposes a high-efficiency deep joint source-channel coding method that can adapt to the source distribution under nonlinear transform and potentially support future semantic communications.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems

Keyan Ding et al.

Summary: The study compared eleven IQA models in terms of their effectiveness as objectives for optimizing image processing algorithms. Subjective testing allowed the researchers to rank the models based on perceptual performance, identify their relative strengths and weaknesses in low-level vision tasks, and propose desirable properties for future IQA models.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

From Semantic Communication to Semantic-Aware Networking: Model, Architecture, and Open Problems

Guangming Shi et al.

Summary: This article discusses the traditional communication systems and the emerging semantic communication frameworks, and proposes a solution for supporting resource-efficient semantic-aware networking through federated edge intelligence.

IEEE COMMUNICATIONS MAGAZINE (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

Deep Learning Enabled Semantic Communication Systems

Huiqiang Xie et al.

Summary: The research presents a deep learning based semantic communication system, DeepSC, for text transmission. By maximizing system capacity and minimizing semantic errors, DeepSC recovers the meaning of sentences rather than bit or symbol errors in traditional communications. Transfer learning is used to ensure adaptability to different communication environments and accelerate the model training process.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2021)

添加到收藏夹

A Paradigm Shift toward Semantic Communications

相关参考文献

Semantic Communications: Overview, Open Issues, and Future Research Directions

Toward Wisdom-Evolutionary and Primitive-Concise 6G: A New Paradigm of Semantic Communication Networks

Nonlinear Transform Source-Channel Coding for Semantic Communications

Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems

From Semantic Communication to Semantic-Aware Networking: Model, Architecture, and Open Problems

Deep Learning Enabled Semantic Communication Systems

导出引文

分享论文