Generative AI for communications systems fundamentals, applications, and prospects / edited by Diep N. Nguyen, Nam H. Chu, Dinh Thai Hoang, Octavia A. Dobre, Dusit Niyato, and Petar Popovski.
| Format | Electronic |
| Publication Info | Piscataway, NJ : IEEE Press, [2026] |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Other author/creator | Nguyen, Diep N. http://id.loc.gov/authorities/names/nb2022009719 http://id.loc.gov/rwo/agents/nb2022009719. |
| Other author/creator | Chu, Nam H. (Nam Hoai http://id.loc.gov/authorities/names/n2025038411 http://id.loc.gov/rwo/agents/n2025038411. |
| Other author/creator | Hoang, Dinh Thai, 1986 http://id.loc.gov/authorities/names/n2020003483 http://id.loc.gov/rwo/agents/n2020003483. |
| Other author/creator | Dobre, Octavia A. http://id.loc.gov/authorities/names/no2023069574 http://id.loc.gov/rwo/agents/no2023069574. |
| Other author/creator | Niyato, Dusit http://id.loc.gov/authorities/names/n2009004308 http://id.loc.gov/rwo/agents/n2009004308. |
| Other author/creator | Popovski, Petar, 1973 http://id.loc.gov/authorities/names/n2019060990 http://id.loc.gov/rwo/agents/n2019060990. |
| Contents | Future AI-empowered communications systems -- Generative AI background and its potentials for future communications systems -- Key study cases of generative AI applications to communications systems -- Generative AI at PHY layer : native AI or trainable radios -- Generative AI at the MAC layer -- Generative AI at network layer -- Generative AI at application layer : mobile AI-generated content -- Applications of generative AI on wireless and cybersecurity -- Challenges and opportunities for generative AI in wireless communications and networking -- Future research directions. |
| Abstract | "The paradigm of generative artificial intelligence (GenAI) refers to a branch of artificial intelligence (AI) that focuses on machine learning models that can generate new and original content, such as text, images, videos, music, or even applications. Unlike traditional/discriminative AI systems typically aims to perform specific tasks, such as classification or prediction, GenAI aims to produce new content/knowledge that resembles the training data it was exposed to. Recently, GenAI has achieved remarkable success in generating realistic images, such as faces, landscapes, objects, and even videos and training data for numerous applications. Generative AI has thus been leveraged in various areas, e.g., in industry, education, entertainment. Within the communications and networking industry, GenAI has been considered as an enabler of the future systems across the PHY, MAC, NET, Application layers"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2025054135 |
| ISBN | 9781394293902 hardback |
| ISBN | adobe pdf |
| ISBN | epub |
| ISBN | ebook |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |