Abstract
The evolution of generative artificial intelligence (GenAI) constitutes
a turning point in reshaping the future of technology in different
aspects. Wireless networks in particular, with the blooming of
self-evolving networks, represent a rich field for exploiting GenAI and
reaping several benefits that can fundamentally change the way how
wireless networks are designed and operated nowadays. To be specific,
large language models (LLMs), a subfield of GenAI, are envisioned to
open up a new era of autonomous wireless networks, in which a multimodal
large model trained over various Telecom data, can be fine-tuned to
perform several downstream tasks, eliminating the need for dedicated AI
models for each task and paving the way for the realization of
artificial general intelligence (AGI)-empowered wireless networks. In
this article, we aim to unfold the opportunities that can be reaped from
integrating LLMs into the Telecom domain. In particular, we aim to put a
forward-looking vision on a new realm of possibilities and applications
of LLMs in future wireless networks, defining directions for designing,
training, testing, and deploying Telecom LLMs, and reveal insights on
the associated theoretical and practical challenges.