Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research
The recent o-ran specifications promote the evolution of ranran architecture by function
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …
Unlocking O-RAN Potential: How Management Data Analytics Enhances SMO Capabilities?
The service management and orchestration (SMO) framework plays a major role in the
management and orchestration (M&O) of applications, services, and components within the …
management and orchestration (M&O) of applications, services, and components within the …
Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation
The move toward artificial intelligence (AI)-native sixth-generation (6G) networks has put
more emphasis on the importance of explainability and trustworthiness in network …
more emphasis on the importance of explainability and trustworthiness in network …
An Overview and Solution for Democratizing AI Workflows at the Network Edge
With the process of democratization of the network edge, hardware and software for
networks are becoming available to the public, overcoming the confines of traditional cloud …
networks are becoming available to the public, overcoming the confines of traditional cloud …
Explainable AI for enhancing efficiency of DL-based channel estimation
The support of artificial intelligence (AI) based decision-making is a key element in future 6G
networks, where the concept of native AI will be introduced. Moreover, AI is widely employed …
networks, where the concept of native AI will be introduced. Moreover, AI is widely employed …
[HTML][HTML] Optimizing Open Radio Access Network Systems with LLAMA V2 for Enhanced Mobile Broadband, Ultra-Reliable Low-Latency Communications, and …
HA Tahir, W Alayed, W Hassan, TD Do - Sensors, 2024 - mdpi.com
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 …
model, into Open Radio Access Network (O-RAN) systems. The focus is on efficient network …
Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions
Seamless integration of artificial intelligence (AI) and machine learning (ML) techniques with
wireless systems is a crucial step for 6G AInization. However, such integration faces …
wireless systems is a crucial step for 6G AInization. However, such integration faces …
X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks
F Rezazadeh, S Barrachina-Muñoz… - … IEEE Conference on …, 2023 - ieeexplore.ieee.org
The rapid development of artificial intelligence (AI) techniques has triggered a revolution in
beyond fifth-generation (B5G) and upcoming sixth-generation (6G) mobile networks. Despite …
beyond fifth-generation (B5G) and upcoming sixth-generation (6G) mobile networks. Despite …
GenOnet: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3
The move toward Sixth-Generation (6G) networks relies on open interfaces and protocols for
seamless interoperability across devices, vendors, and technologies. In this context, open …
seamless interoperability across devices, vendors, and technologies. In this context, open …
Developing Trustworthy Reinforcement Learning Applications for Next-Generation Open Radio Access Networks
AM Nagib, H Abou-zeid… - 2024 IEEE Canadian …, 2024 - ieeexplore.ieee.org
Artificial intelligence is envisioned to transform the design and operation of 6G networks.
Reinforcement learning (RL), in particular, has emerged as a fundamental approach toward …
Reinforcement learning (RL), in particular, has emerged as a fundamental approach toward …