Optimizing Open Radio Access Network Systems with LLAMA V2 for Enhanced Mobile Broadband, Ultra-Reliable Low-Latency Communications, and Massive Machine-Type Communications: A Framework for Efficient Network Slicing and Real-Time Resource Allocation

Optimizing Open Radio Access Network Systems with LLAMA V2 for Enhanced Mobile Broadband, Ultra-Reliable Low-Latency Communications, and Massive Machine-Type Communications: A Framework for Efficient Network Slicing and Real-Time Resource Allocation

This study presents an advanced framework integrating LLAMA_V2, a large language model, into Open Radio Access Network (O-RAN) systems. The focus is on efficient network slicing for various services. Sensors in IoT devices generate continuous data streams, enabling resource allocation through O-RAN’...

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Bibliographic Details
Main Authors: H. Ahmed Tahir, Walaa Alayed, Waqar ul Hassan, Thuan Dinh Do
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
O-RAN
AI/ML
LLM
5G
network slicing
resource allocation
Online Access:https://www.mdpi.com/1424-8220/24/21/7009
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