{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T20:04:19Z","timestamp":1778616259178,"version":"3.51.4"},"reference-count":30,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T00:00:00Z","timestamp":1758067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Unmanned aerial vehicle (UAV)-assisted integrated sensing and communication (ISAC) systems have developed rapidly in the sixth generation (6G) era. However, factors such as the mobility of ground users and malicious jamming pose significant challenges to systems\u2019 performance and reliability. Against this backdrop, this paper designs a multi-UAV-assisted ISAC system model under malicious jamming environments. Under the constraint of sensing accuracy, the total communication rate of the system is maximized through joint optimization of user association, UAV trajectory, and transmit power. The problem is then decomposed into three subproblems, which are solved using the improved auction algorithm (IAA), dream optimization algorithm (DOA), and rapidly-exploring random trees-based optimizer algorithm (RRTOA). The global optimal solution is approached through the alternating optimization-based predictive scheduling algorithm (AOPSA). Meanwhile, this paper also introduces a long short-term memory (LSTM) network to predict users\u2019 dynamic positions, addressing the impact of user mobility and enhancing the system\u2019s real-time performance. Simulation results show that compared with the baseline scheme, the proposed algorithm achieves a 188% improvement in communication rate, which verifies its effectiveness and superiority.<\/jats:p>","DOI":"10.3390\/e27090967","type":"journal-article","created":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T15:12:44Z","timestamp":1758121964000},"page":"967","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-UAV-Assisted ISAC System: Joint User Association, Trajectory Design, and Resource Allocation"],"prefix":"10.3390","volume":"27","author":[{"given":"Jinwei","family":"Wang","sequence":"first","affiliation":[{"name":"The College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3591-2638","authenticated-orcid":false,"given":"Renhui","family":"Xu","sequence":"additional","affiliation":[{"name":"The College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laixian","family":"Peng","sequence":"additional","affiliation":[{"name":"The College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianglin","family":"Wei","sequence":"additional","affiliation":[{"name":"The 63rd Research Institute, National University of Defense Technology, Nanjing 210007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,9,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"11068","DOI":"10.1109\/JIOT.2023.3235618","article-title":"Integrated Sensing and Communication Signals Toward 5G-A and 6G: A Survey","volume":"10","author":"Wei","year":"2023","journal-title":"IEEE Internet Things J."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1109\/JSAC.2022.3156632","article-title":"Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond","volume":"40","author":"Liu","year":"2022","journal-title":"IEEE J. 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