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Recently, big artificial intelligence (AI) models represented by chatGPT havebrought an incredible revolution. With the pre-trained big AI model (BAIM) incertain fields, numerous downstream tasks can be accomplished with onlyfew-shot or even zero-shot learning and exhibit state-of-the-art performances.As widely envisioned, the big AI models are to rapidly penetrate into majorintelligent services and applications, and are able to run at low unit cost andhigh flexibility. In 6G wireless networks, to fully enable intelligentcommunication, sensing and computing, apart from providing other intelligentwireless services and applications, it is of vital importance to design anddeploy certain wireless BAIMs (wBAIMs). However, there still lacksinvestigation on architecture design and system evaluation for wBAIM. In thispaper, we provide a comprehensive discussion as well as some in-depth prospectson the demand, design and deployment aspects of the wBAIM. We opine that wBAIMwill be a recipe of the 6G wireless networks to build high-efficient,sustainable, versatile, and extensible wireless intelligence for numerouspromising visions. Then, we present the core characteristics and principles toguide the design of wBAIMs, and discuss the key aspects of developing wBAIMsthrough identifying the differences between the existing BAIMs and the emergingwBAIMs. Finally, related research directions and potential solutions areoutlined.

Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions