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Recent advancements in diffusion models have made a significant breakthrough in generative modeling. The combination of the generative model and semantic communication (SemCom) enables high-fidelity semantic information exchange at…

Signal Processing · Electrical Eng. & Systems 2024-10-10 Chunmei Xu , Mahdi Boloursaz Mashhadi , Yi Ma , Rahim Tafazolli

Deep generative models have unlocked another profound realm of human creativity. By capturing and generalizing patterns within data, we have entered the epoch of all-encompassing Artificial Intelligence for General Creativity (AIGC).…

Artificial Intelligence · Computer Science 2023-12-27 Hanqun Cao , Cheng Tan , Zhangyang Gao , Yilun Xu , Guangyong Chen , Pheng-Ann Heng , Stan Z. Li

In this paper, a novel semantic communication framework empowered by generative artificial intelligence (GAI) is proposed, to enhance the robustness against both channel noise and transmission data distribution shifts. A theoretical…

Machine Learning · Computer Science 2025-07-18 Xiucheng Wang , Honggang Jia , Nan Cheng

Generative artificial intelligence (AI) refers to algorithms that create synthetic but realistic output. Diffusion models currently offer state of the art performance in generative AI for images. They also form a key component in more…

Machine Learning · Computer Science 2023-12-27 Catherine F. Higham , Desmond J. Higham , Peter Grindrod

Generative AI has demonstrated impressive performance in various fields, among which speech synthesis is an interesting direction. With the diffusion model as the most popular generative model, numerous works have attempted two active…

With the significant advances in generative AI (GAI) and the proliferation of mobile devices, providing high-quality AI-generated content (AIGC) services via wireless networks is becoming the future direction. However, the primary…

Machine Learning · Computer Science 2025-03-25 Runze Cheng , Yao Sun , Lan Zhang , Lei Feng , Lei Zhang , Muhammad Ali Imran

The latest advances in artificial intelligence (AI) present many unprecedented opportunities to achieve much improved bandwidth saving in communications. Unlike conventional communication systems focusing on packet transport, rich datasets…

Machine Learning · Computer Science 2023-12-07 Achintha Wijesinghe , Songyang Zhang , Suchinthaka Wanninayaka , Weiwei Wang , Zhi Ding

Each generation of cellular networks is characterized by its distinct capabilities and innovations, which reflect the significant milestones reached with each new release. 5G has made substantial progress through the deployment of advanced…

Networking and Internet Architecture · Computer Science 2024-06-04 Gabriella Fernandes , Hélder Fontes , Rui Campos

Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents. These advancements impose new requirements on future 6G mobile network architectures. To meet…

Semantic communication is viewed as a revolutionary paradigm that can potentially transform how we design and operate wireless communication systems. However, despite a recent surge of research activities in this area, the research…

Artificial Intelligence · Computer Science 2022-11-29 Christina Chaccour , Walid Saad , Merouane Debbah , Zhu Han , H. Vincent Poor

Reliable image transmission over wireless channels is particularly challenging at extremely low transmission rates, where conventional compression and channel coding schemes fail to preserve adequate visual quality. To address this issue,…

Information Theory · Computer Science 2025-10-27 Shengkang Chen , Tong Wu , Zhiyong Chen , Feng Yang , Meixia Tao , Wenjun Zhang

Semantic communications represent a significant breakthrough with respect to the current communication paradigm, as they focus on recovering the meaning behind the transmitted sequence of symbols, rather than the symbols themselves. In…

Signal Processing · Electrical Eng. & Systems 2023-09-06 S. Barbarossa , D. Comminiello , E. Grassucci , F. Pezone , S. Sardellitti , P. Di Lorenzo

Semantic communication (SemCom) has emerged as a promising paradigm for achieving unprecedented communication efficiency in sixth-generation (6G) networks by leveraging artificial intelligence (AI) to extract and transmit the underlying…

Machine Learning · Computer Science 2025-08-27 Jianhao Huang , Qunsong Zeng , Hongyang Du , Kaibin Huang

Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field demonstrating significant potential in creating diverse contents intelligently and automatically. To support such artificial intelligence-generated content…

Signal Processing · Electrical Eng. & Systems 2024-01-09 Chengsi Liang , Hongyang Du , Yao Sun , Dusit Niyato , Jiawen Kang , Dezong Zhao , Muhammad Ali Imran

Generative AI has achieved remarkable empirical success, but from the perspective of statistics it often remains opaque: its predictions may be accurate, yet the underlying mechanism is difficult to interpret, analyze, and trust. This book…

Machine Learning · Statistics 2026-03-11 Shinto Eguchi

Generative AI models have recently achieved astonishing results in quality and are consequently employed in a fast-growing number of applications. However, since they are highly data-driven, relying on billion-sized datasets randomly…

Semantic communication is widely touted as a key technology for propelling the sixth-generation (6G) wireless networks. However, providing effective semantic representation is quite challenging in practice. To address this issue, this…

Information Theory · Computer Science 2024-06-18 Jinke Ren , Zezhong Zhang , Jie Xu , Guanying Chen , Yaping Sun , Ping Zhang , Shuguang Cui

This paper proposes new framework of communication system leveraging promising generation capabilities of multi-modal generative models. Regarding nowadays smart applications, successful communication can be made by conveying the perceptual…

Signal Processing · Electrical Eng. & Systems 2023-09-11 Hyelin Nam , Jihong Park , Jinho Choi , Seong-Lyun Kim

Generative diffusion models (GDMs) have recently shown great success in synthesizing multimedia signals with high perceptual quality, enabling highly efficient semantic communications in future wireless networks. In this paper, we develop…

Information Theory · Computer Science 2026-01-27 Xinkai Liu , Mahdi Boloursaz Mashhadi , Li Qiao , Yi Ma , Rahim Tafazolli , Mehdi Bennis

Generative AI has redefined artificial intelligence, enabling the creation of innovative content and customized solutions that drive business practices into a new era of efficiency and creativity. In this paper, we focus on diffusion…

Machine Learning · Computer Science 2024-03-21 Zihao Li , Hui Yuan , Kaixuan Huang , Chengzhuo Ni , Yinyu Ye , Minshuo Chen , Mengdi Wang