AI Large Model and 6G Network
L Yue, T Chen - 2023 IEEE Globecom Workshops (GC Wkshps …, 2023 - ieeexplore.ieee.org
… large model as a ubiquitous social service model. … large model and network approach
to address the above challenges. We introduce the basic concepts and components of large …
to address the above challenges. We introduce the basic concepts and components of large …
AI-native interconnect framework for integration of large language model technologies in 6G systems
… In this work, we advocate for an AI-native 6G network that seamlessly integrates a diverse
range of LLMs, allowing for their dynamic selection, provisioning, updating, and creation. …
range of LLMs, allowing for their dynamic selection, provisioning, updating, and creation. …
Reasoning AI Performance Degradation in 6G Networks with Large Language Models
L Huang, Y Wu, D Simeonidou - arXiv preprint arXiv:2408.17097, 2024 - arxiv.org
… of reasoning AI performance degradation in complex 6G network environments. The … AI
model used for this task is the 3D-GS model, described in detail in Section III-A2. The 6G network …
model used for this task is the 3D-GS model, described in detail in Section III-A2. The 6G network …
Task-oriented 6G native-AI network architecture
Y Yang, J Wu, T Chen, C Peng, J Wang, J Deng… - … Network, 2023 - ieeexplore.ieee.org
… The emergence of AI is accompanied by large-scale AI training, large-model AI inference,
and massive perceptual image processing, requiring significantly more computing than …
and massive perceptual image processing, requiring significantly more computing than …
On Combining XAI and LLMs for Trustworthy Zero-Touch Network and Service Management in 6G
… ZSM in 6G networks by combining AI for detecting anomalies; eXplainable AI (XAI) to
identify the root causes of anomalies using feature importance analysis; and large language …
identify the root causes of anomalies using feature importance analysis; and large language …
When large language model agents meet 6G networks: Perception, grounding, and alignment
… user requirements on 6G network functions, including … Furthermore, we introduce a novel
model caching algorithm … in 6G networks, which aims to provide democratic AI assistant …
model caching algorithm … in 6G networks, which aims to provide democratic AI assistant …
Enabling mobile AI agent in 6G era: Architecture and key technologies
Z Chen, Q Sun, N Li, X Li, Y Wang, I Chih-Lin - IEEE Network, 2024 - ieeexplore.ieee.org
… to advanced artificial intelligence (AI) services. This paper delves … AI agents into 6G networks.
Despite recent researches in using large language model (LLM) and AI agent for network …
Despite recent researches in using large language model (LLM) and AI agent for network …
Large Generative AI Models meet Open Networks for 6G: Integration, Platform, and Monetization
… , making it a promising solution on the 6G stage characterized by openness, connected …
within future open 6G networks, mainly from the perspectives of mobile network operators (…
within future open 6G networks, mainly from the perspectives of mobile network operators (…
6G vision: An AI-driven decentralized network and service architecture
… In this model, the network edge is no longer simply an access network, but comprises a
large number of ubiquitous, autonomous local networks that can integrate communication, …
large number of ubiquitous, autonomous local networks that can integrate communication, …
Edge computing enabled large-scale traffic flow prediction with GPT in intelligent autonomous transport system for 6G network
Y Rong, Y Mao, H Cui, X He… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
… Hence, the coordination of 6G, AI, and intelligent transportation systems … in 6G (6G-IATS)
has received widespread attention. 6G-IATS can utilize AI methods to effectively analyze large …
has received widespread attention. 6G-IATS can utilize AI methods to effectively analyze large …