Semantic-Aware 6G Network Management through Knowledge-Defined Networking

TL;DR

This paper introduces a semantic-aware network management framework for 6G that enhances data relevance, reduces distortion, and improves throughput by integrating knowledge graphs and adaptive routing.

Contribution

It proposes a novel management-oriented semantic communication framework based on Knowledge-Defined Networking, addressing network-wide decision-making and semantic fidelity preservation.

Findings

Semantic delivery success increased by 12%

Semantic distortion decreased by 22%

Re-routing events reduced by 44%

Abstract

Semantic communication is emerging as a key paradigm for 6G networks, where the goal is not to perfectly reconstruct bits but to preserve the meaning that matters for a given task. This shift can improve bandwidth efficiency, robustness, and application-level performance. However, most existing studies focus solely on encoder-decoder design and ignore network-wide decision-making. As data traverses multiple hops, semantic relevance may decrease, routing may overlook meaningful information, and semantic distortion can increase under dynamic network conditions. To address these challenges, this paper proposes a management-oriented semantic communication framework built upon Knowledge-Defined Networking (KDN). The framework comprises three core modules: a semantic-reasoning module that computes relevance scores by mapping semantic embeddings onto a knowledge graph that encodes task concepts and contextual relationships; a semantic-aware routing mechanism that forwards data along paths that preserve meaning; and a semantic-distortion controller that adaptively adjusts encoding and routing to preserve semantic fidelity. Our ns-3 results show clear benefits: semantic delivery success improves by 12%, semantic distortion decreases by 22%, re-routing events drop by 44%, and throughput efficiency rises by 14% compared to baseline methods (shortest-path, load-based, and distortion-only routing). These results indicate that meaning-aware and feedback-driven control is essential for reliable and scalable semantic communication in future 6G networks.