Semantic Communication for the Internet of Space: New Architecture, Challenges, and Future Vision

TL;DR

This paper addresses the challenge of scaling 6G networks into space by moving from bit-level transmission to semantic communication to cope with intermittent connectivity, latency, and resource limits. It proposes a three-layer IoS architecture—Data Layer for multi-modal feature extraction, Transport Layer for semantic encoding/decoding with adaptive transmission, and Application Layer for decision-making—coupled with ISAC using terahertz links. A Mars dust storm monitoring scenario demonstrates significant energy efficiency and reliability gains, with a CCSDS/ITU-aligned standardized semantic framework to ensure interoperability. The article also outlines open challenges and future directions in multi-modal fusion, dynamic adaptation, standardization, and robust semantic inference to enable practical semantic-enabled IoS systems.

Abstract

The expansion of sixth-generation (6G) wireless networks into space introduces technical challenges that conventional bit-oriented communication approaches cannot efficiently address, including intermittent connectivity, severe latency, limited bandwidth, and constrained onboard resources. To overcome these limitations, semantic communication has emerged as a transformative paradigm, shifting the communication focus from transmitting raw data to delivering context-aware, missionrelevant information. In this article, we propose a semantic communication architecture explicitly tailored for the 6G Internet of Space (IoS), integrating multi-modal semantic processing, AIdriven semantic encoding and decoding, and adaptive transmission mechanisms optimized for space environments. The effectiveness of our proposed framework is demonstrated through a representative deep-space scenario involving semantic-based monitoring of Mars dust storms. Finally, we outline open research challenges and discuss future directions toward realizing practical semantic-enabled IoS systems.

Figures (6)

• Figure 1: Internet of Space semantic communication architecture showing Earth-Mars-Deep space communications as a representative example within the IoS framework. The system illustrates the contrast between traditional raw data transmission and semantic data transmission links. Key components include orbital satellites, relay systems, and surface elements operating under challenging environmental conditions. The semantic encoding and decoding processes demonstrated here can be extended to various solar and outer solar system missions, enabling effective communications despite significant distances, radiation effects, and resource limitations characteristic of space exploration.
• Figure 2: Hierarchical satellite network architecture for semantic-enabled IoS.
• Figure 3: Semantic Empowered IoS: A layered architecture illustrating multi-modal data processing, semantic encoding/decoding, transmission mechanisms, and the integration of standardization for enhanced semantic communication in space.
• Figure 4: Illustration of semantic-based Mars surface exploration under dust storm conditions.
• Figure 5: Illustration of the semantic communication pipeline for Mars dust storm monitoring based on the proposed IoS architecture.