Kraken*: Architecting Generative, Semantic, and Goal-Oriented Network Management for 6G Wireless Systems
Ian F. Akyildiz, Tu\u{g}\c{c}e Bilen

TL;DR
This paper proposes Kraken, a multi-agent architecture for 6G networks that leverages semantic communication, generative AI, and goal-oriented optimization to enable adaptive, knowledge-centric network management for future services.
Contribution
Introducing Kraken, a novel multi-layered architecture that integrates semantic communication and generative AI for goal-driven, knowledge-based 6G network management.
Findings
Kraken enables scalable collective intelligence in 6G networks.
It shifts network optimization from protocol metrics to application-level outcomes.
The architecture provides a pathway from 5G to knowledge-native 6G systems.
Abstract
Sixth-generation (6G) wireless networks are expected to support autonomous, immersive, and mission-critical services that require not only extreme data rates and ultra-low latency but also adaptive reasoning, cross-domain coordination, and objective-driven control across distributed edge-cloud infrastructures. Current AI-enabled network management remains largely data-centric, relying on discriminative models that optimize intermediate quality-of-service metrics without explicitly reasoning about long-term service objectives. This article advocates a transition from bit-centric communication toward knowledge-centric coordination in 6G systems. Semantic communication prioritizes task-relevant information and contextual meaning over raw data delivery, while generative artificial intelligence enables predictive reasoning and adaptive policy synthesis aligned with dynamic service intents.…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Wireless Signal Modulation Classification · Advanced Wireless Communication Technologies
