Agentic UE-CoMIMO for 6G Terminals: From Virtual Antenna Augmentation to AI-Native Virtualization

2026-09-02

AI Summary

本文提出Agentic UE-CoMIMO方法，通过设备微代理、智能手机或CPE中心代理及边缘/网络代理的协作，解决6G终端在通信、感知、计算和信息交换中的天线限制问题。

Abstract

End-user-centric collaborative MIMO (UE-CoMIMO) lets nearby devices form a virtual multi-antenna terminal to overcome the antenna limitations of individual user equipment. Extending such cooperation to communication, sensing, computing, and task-relevant information exchange requires a control layer that can interpret user intent, select cooperation mechanisms, and replan as conditions change. This article introduces Agentic UE-CoMIMO, in which device micro-agents, a smartphone or CPE hub agent, and edge/network agents coordinate device participation, relay modes, traffic splitting and duplication, compute placement, semantic-token exchange, and topology reconfiguration. Two system-level scenario studies on creator-centric live streaming and wearable-collaborative blind-spot sensing compare the proposed controller with capability-matched adaptive baselines. The results show that, by anticipating changes and preparing cooperation and fallback actions in advance, agentic control sustains high-quality streaming for longer and maintains blind-spot warnings through device outages. We also discuss the associated standardization, interoperability, trust, and validation challenges.

Problem

• UE-CoMIMO
• virtual antenna
• AI-native virtualization
• device cooperation
• control layer

Innovation

• Agentic UE-CoMIMO
• device micro-agents
• semantic-token exchange
• topology reconfiguration
• anticipating changes