Large Language Models (LLMs) for Wireless Networks: An Overview from the Prompt Engineering Perspective
Recently, large language models (LLMs) have been successfully applied to many fields,
showing outstanding comprehension and reasoning capabilities. Despite their great …
showing outstanding comprehension and reasoning capabilities. Despite their great …
Adapting foundation models for information synthesis of wireless communication specifications
M Kotaru - arXiv preprint arXiv:2308.04033, 2023 - arxiv.org
Existing approaches to understanding, developing and researching modern wireless
communication technologies involves time-intensive and arduous process of sifting through …
communication technologies involves time-intensive and arduous process of sifting through …
{CellularLint}: A Systematic Approach to Identify Inconsistent Behavior in Cellular Network Specifications
In recent years, there has been a growing focus on scrutinizing the security of cellular
networks, often attributing security vulnerabilities to issues in the underlying protocol design …
networks, often attributing security vulnerabilities to issues in the underlying protocol design …
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
The rapid evolution of wireless technologies and the growing complexity of network
infrastructures necessitate a paradigm shift in how communication networks are designed …
infrastructures necessitate a paradigm shift in how communication networks are designed …
Contextual beamforming: Exploiting location and AI for enhanced wireless telecommunication performance
Beamforming, an integral component of modern mobile networks, enables spatial selectivity
and improves network quality. However, many beamforming techniques are iterative …
and improves network quality. However, many beamforming techniques are iterative …
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards
Recent studies show that large language models (LLMs) struggle with technical standards in
telecommunications. We propose a fine-tuned retrieval-augmented generation (RAG) …
telecommunications. We propose a fine-tuned retrieval-augmented generation (RAG) …
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network
The telecommunications industry's rapid evolution demands intelligent systems capable of
managing complex networks and adapting to emerging technologies. While large language …
managing complex networks and adapting to emerging technologies. While large language …
TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications
Understanding telecom standards involves sorting through numerous technical documents,
such as those produced by the 3rd Generation Partnership Project (3GPP), which is time …
such as those produced by the 3rd Generation Partnership Project (3GPP), which is time …
Towards Wireless-Native Big AI Model: Insights into Its Ambitions, Peculiarities and Methodologies
Researches on leveraging big artificial intelligence model (BAIM) technology to drive the
intelligent evolution of wireless networks are emerging. However, since the breakthrough in …
intelligent evolution of wireless networks are emerging. However, since the breakthrough in …
ASTRA-5G: Automated Over-the-Air Security Testing and Research Architecture for 5G SA Devices
Despite the widespread deployment of 5G technologies, there exists a critical gap in security
testing for 5G Standalone (SA) devices. Existing methods, largely manual and labor …
testing for 5G Standalone (SA) devices. Existing methods, largely manual and labor …