Guest Editorial: Mobile AI-Generated Content (AIGC) in 6G Era

Haibo Zhou, Hong-Ning Dai, Xiang Cheng, Diep N. Nguyen, Hina Tabassum

Abstract: Mobile artificial intelligence-generated content (AIGC) is an emerging methodology for the generation, manipulation, and modification of mobile data, utilizing generative artificial intelligence (GAI) to accomplish a wide variety of computation and communication-oriented tasks for sixth-generation wireless networks (6G). Compared with traditional discriminative artificial intelligence (AI) technologies, AIGC leverages state-of-the-art GAI algorithms, e.g., generative adversarial network (GAN), variational autoencoder (VAE), Transformer, and diffusion model, to provide generation capability for 6G personalized services. The rapid development of mobile AIGC has received a lot of attention recently, aiming at building versatile content generation systems, ranging from inquiries and answers, such as ChatGPT, to creative tasks like realistic image and 3D object generation by DALL-E and Point-E.