{"ID":2890109,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.19837","arxiv_id":"2507.19837","title":"Feature Engineering for Wireless Communications and Networking: Concepts, Methodologies, and Applications","abstract":"AI-enabled wireless communications have attracted tremendous research interest in recent years, particularly with the rise of novel paradigms such as low-altitude integrated sensing and communication (ISAC) networks. Within these systems, feature engineering plays a pivotal role by transforming raw wireless data into structured representations suitable for AI models. Hence, this paper offers a comprehensive investigation of feature engineering techniques in AI-driven wireless communications. Specifically, we begin with a detailed analysis of fundamental principles and methodologies of feature engineering. Next, we present its applications in wireless communication systems, with special emphasis on ISAC networks. Finally, we introduce a generative AI-based framework, which can reconstruct signal feature spectrum under malicious attacks in low-altitude ISAC networks. The case study shows that it can effectively reconstruct the signal spectrum, achieving an average structural similarity index improvement of 4%, thereby supporting downstream sensing and communication applications.","short_abstract":"AI-enabled wireless communications have attracted tremendous research interest in recent years, particularly with the rise of novel paradigms such as low-altitude integrated sensing and communication (ISAC) networks. Within these systems, feature engineering plays a pivotal role by transforming raw wireless data into s...","url_abs":"https://arxiv.org/abs/2507.19837","url_pdf":"https://arxiv.org/pdf/2507.19837v1","authors":"[\"Jiacheng Wang\",\"Changyuan Zhao\",\"Zehui Xiong\",\"Tao Xiang\",\"Dusit Niyato\",\"Xianbin Wang\",\"Shiwen Mao\",\"Dong In Kim\"]","published":"2025-07-26T07:21:27Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}