Xingqi Wu (University of Michigan-Dearborn), Junaid Farooq (University of Michigan-Dearborn), Yuhui Wang (University of Michigan-Dearborn), Juntao Chen (Fordham University)

The decentralized and modular architecture of open radio access networks (O-RAN) enhances flexibility and interoperability but introduces significant challenges in efficiently managing resource allocation. The disaggregation of network functions across distributed unit, centralized unit, and RAN intelligent controller (RIC) creates complexities in coordinating resources across multiple network slices, each with distinct and dynamic quality of service (QoS) requirements. Traditional machine learning (ML) approaches for resource management often rely on extensive offline training, which is impractical in the highly variable and real-time environments of O-RAN systems. This paper presents LLM-xApp, a novel large language model (LLM)-powered xApp framework for adaptive radio resource management in O-RAN systems. The proposed framework is based on intelligently prompting LLM agents to dynamically optimize resource allocation to different network slices. Experimental evaluations are conducted on the OpenAI Cellular (OAIC) platform showcasing significant improvements in average data rates as well as the reliability of the slices, demonstrating the potential of LLMs to enhance real-time decision-making in next-generation wireless networks.

View More Papers

A Multifaceted Study on the Use of TLS and...

Ka Fun Tang (The Chinese University of Hong Kong), Che Wei Tu (The Chinese University of Hong Kong), Sui Ling Angela Mak (The Chinese University of Hong Kong), Sze Yiu Chau (The Chinese University of Hong Kong)

Read More

A Systematic Evaluation of Novel and Existing Cache Side...

Fabian Rauscher (Graz University of Technology), Carina Fiedler (Graz University of Technology), Andreas Kogler (Graz University of Technology), Daniel Gruss (Graz University of Technology)

Read More

The Philosopher’s Stone: Trojaning Plugins of Large Language Models

Tian Dong (Shanghai Jiao Tong University), Minhui Xue (CSIRO's Data61), Guoxing Chen (Shanghai Jiao Tong University), Rayne Holland (CSIRO's Data61), Yan Meng (Shanghai Jiao Tong University), Shaofeng Li (Southeast University), Zhen Liu (Shanghai Jiao Tong University), Haojin Zhu (Shanghai Jiao Tong University)

Read More