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On-device LLM agent autonomously configures mobile networks

By PulseAugur Editorial · [1 sources] ·

Researchers have developed PEAM, an on-device communication agent designed to autonomously manage mobile network configurations. This agent fine-tunes a compact large language model with user data to generate personalized network rules executable within milliseconds. PEAM operates by first analyzing historical data to create robust configuration rules and user profiles, then executing these rules in real-time when communication contexts change. Experiments show PEAM, utilizing a fine-tuned 4B model, achieves over 99% accuracy in network configuration decisions, significantly outperforming traditional expert-rule based methods. AI

IMPACT Enables faster, more personalized mobile network management through on-device LLM agents.

RANK_REASON The item describes a novel agent and methodology presented in an academic paper, detailing its architecture and experimental results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

On-device LLM agent autonomously configures mobile networks

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The item describes a novel agent and methodology presented in an academic paper, detailing its architecture and experimental results. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Haowen Wan, Shangzhuo Xie, Syue-Ju Syue, Xianyue Wu, Runhua Li, Qianqian Yang ·

    PEAM: On-device Communication Agent for Personalized, Efficient and Autonomous Mobile Network Configuration

    arXiv:2610.14855v1 Announce Type: new Abstract: The growing deployment of compact large language models on smartphones is enabling autonomous on-device decision-making, such as emerging mobile GUI agents. However, many mobile decisions, such as network configuration when users sw…

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