Wireless Copilot: An AI-Powered Partner for Navigating Next-Generation Wireless Complexity
Haoxiang Luo, Ruichen Zhang, Yinqiu Liu, Gang Sun, Hongfang Yu, Dusit Niyato, and Dong In Kim

TL;DR
Wireless Copilot is an AI-powered assistant that helps human operators manage the increasing complexity of 6G wireless networks by translating high-level human intent into precise network actions.
Contribution
It introduces a novel AI framework integrating LLMs for collaborative network management, bridging human expertise and machine automation in 6G systems.
Findings
Wireless Copilot effectively translates human intent into network actions.
Case study shows superior adaptability in resource allocation.
Framework enhances efficiency and trust in 6G network management.
Abstract
The sixth-generation (6G) of wireless networks introduces a level of operational complexity that exceeds the limits of traditional automation and manual oversight. This paper introduces the "Wireless Copilot", an AI-powered technical assistant designed to function as a collaborative partner for human network designers, engineers, and operators. We posit that by integrating Large Language Models (LLMs) with a robust cognitive framework. It will surpass the existing AI tools and interact with wireless devices, transmitting the user's intentions into the actual network execution process. Then, Wireless Copilot can translate high-level human intent into precise, optimized, and verifiable network actions. This framework bridges the gap between human expertise and machine-scale complexity, enabling more efficient, intelligent, and trustworthy management of 6G systems. Wireless Copilot will be…
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Advanced Wireless Communication Technologies · IoT and Edge/Fog Computing
