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LLM4CP:Adapting Large Language Models for Channel Prediction

Boxun Liu Xuanyu Liu Shijian Gao Xiang Cheng Liuqing Yang

通信与信息网络学报（英文）2024，Vol.9Issue(2)：113-125,13.

LLM4CP:Adapting Large Language Models for Channel Prediction

Boxun Liu ¹Xuanyu Liu ¹Shijian Gao ²Xiang Cheng ¹Liuqing Yang³

作者信息

1. State Key Laboratory of Advanced Optical Communication Systems and Networks,School of Electronics,Peking University,Beijing 100871,China
2. Internet of Things Thrust,The Hong Kong University of Science and Technology(Guangzhou),Guangzhou 511400,China
3. Internet of Things Thrust and Intelligent Transportation Thrust,The Hong Kong University of Science and Technology(Guangzhou),Guangzhou 511400,China||Department of Electronic and Computer En-gineering and Department of Civil and Environmental Engineering,The Hong Kong University of Science and Technology,Hong Kong,China
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摘要

关键词

channel prediction/massive multi-input multi-output(m-MIMO)/large language models(LLMs)/fine-tuning/time-series

Key words

channel prediction/massive multi-input multi-output(m-MIMO)/large language models(LLMs)/fine-tuning/time-series

引用本文复制引用

Boxun Liu,Xuanyu Liu,Shijian Gao,Xiang Cheng,Liuqing Yang..LLM4CP:Adapting Large Language Models for Channel Prediction[J].通信与信息网络学报（英文）,2024,9(2):113-125,13.

基金项目

This work was supported in part by the National Natu-ral Science Foundation of China under Grants 62125101 and 62341101,in part by the New Cornerstone Science Foundation through the XPLORER PRIZE,in part by Guangdong Provincial Key Lab of Integrated Commu-nication,Sensing and Computation for Ubiquitous Internet of Things un-der Grant 2023B1212010007,in part by Guangzhou Municipal Science and Technology Project under Grant 2023A03J0011,and in part by Guangdong Provincial Department of Education Major Research Project under Grant 2023ZDZX1037. （）

通信与信息网络学报（英文）

ISSN：2096-1081

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