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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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Autori principali: H. Ahmed Tahir, Walaa Alayed, Waqar ul Hassan, Thuan Dinh Do
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2024-10-01
Serie:Sensors
Soggetti:
O-RAN
AI/ML
LLM
5G
network slicing
resource allocation
Accesso online:https://www.mdpi.com/1424-8220/24/21/7009
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